Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
25/07/2026
Full time
Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
23/07/2026
Full time
Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
Data & AI Engineer - London (Hybrid) - Up to £50,000 We are supporting a leading organisation within the Technology and Data space that deliver technology-enabled transformations. This team specialises in building modern, data-driven solutions that enable better decision-making, automation, and innovation. This is an opportunity to design, build and deploy enterprise-scale AI solutions, working alongside highly skilled engineers and data specialists to deliver innovative products for a diverse portfolio of organisations. Whether you're an experienced engineer looking to specialise further or you're ready to take on greater technical ownership and leadership, there are excellent opportunities for progression, learning and career development. The Role: You'll play a key role in designing, developing and deploying AI and Machine Learning solutions, working across the full ML lifecycle from data preparation and feature engineering through to model deployment and optimisation. Working with Python, SQL and leading ML frameworks, you'll build scalable pipelines, develop and evaluate models and help deliver cloud-based AI solutions across Azure, AWS or GCP. You'll also contribute to MLOps practices, support production deployments and work with both structured and unstructured datasets. You'll collaborate closely with engineers, data professionals and business stakeholders to turn requirements into practical AI solutions, while keeping up to date with emerging technologies including Generative AI and Large Language Models. Required Experience: Commercial AI or Machine Learning experience. Strong Python and SQL skills. Experience with TensorFlow, PyTorch or similar frameworks. Understanding of machine learning and model deployment. Experience with Azure, AWS or GCP. Knowledge of data pipelines, ETL and MLOps. Strong analytical and problem-solving skills. What Do They Offer? Salary up to £50,000. Hybrid and flexible working. Modern AI projects using the latest technologies. Clear career progression. Competitive benefits package. If you're a data-driven professional looking for your next challenge, it'd be great to hear from you. Drop me an email at All candidates must be available to travel on-site at least 3 days a week. To be eligible for this role you're required a full, unrestricted right to work in the UK.
22/07/2026
Full time
Data & AI Engineer - London (Hybrid) - Up to £50,000 We are supporting a leading organisation within the Technology and Data space that deliver technology-enabled transformations. This team specialises in building modern, data-driven solutions that enable better decision-making, automation, and innovation. This is an opportunity to design, build and deploy enterprise-scale AI solutions, working alongside highly skilled engineers and data specialists to deliver innovative products for a diverse portfolio of organisations. Whether you're an experienced engineer looking to specialise further or you're ready to take on greater technical ownership and leadership, there are excellent opportunities for progression, learning and career development. The Role: You'll play a key role in designing, developing and deploying AI and Machine Learning solutions, working across the full ML lifecycle from data preparation and feature engineering through to model deployment and optimisation. Working with Python, SQL and leading ML frameworks, you'll build scalable pipelines, develop and evaluate models and help deliver cloud-based AI solutions across Azure, AWS or GCP. You'll also contribute to MLOps practices, support production deployments and work with both structured and unstructured datasets. You'll collaborate closely with engineers, data professionals and business stakeholders to turn requirements into practical AI solutions, while keeping up to date with emerging technologies including Generative AI and Large Language Models. Required Experience: Commercial AI or Machine Learning experience. Strong Python and SQL skills. Experience with TensorFlow, PyTorch or similar frameworks. Understanding of machine learning and model deployment. Experience with Azure, AWS or GCP. Knowledge of data pipelines, ETL and MLOps. Strong analytical and problem-solving skills. What Do They Offer? Salary up to £50,000. Hybrid and flexible working. Modern AI projects using the latest technologies. Clear career progression. Competitive benefits package. If you're a data-driven professional looking for your next challenge, it'd be great to hear from you. Drop me an email at All candidates must be available to travel on-site at least 3 days a week. To be eligible for this role you're required a full, unrestricted right to work in the UK.
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Birmingham, London, Bristol, Newcastle, Manchester# Data EngineerThe Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS. The Role You Are Considering As a Data Engineer, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools.In addition to these core skills, you should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure ML to develop predictive models and drive business insights. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience with modern programming languages such as Python, Java, Scala & Pyspark. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations. Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery work Minimum 10+ years of experience as a Data Engineer or similar role. Proven expertise in the technologies below, and data pipeline development and strong understanding of data warehousing concepts and practices. Excellent problem-solving and analytical skills and strong communication and teamwork skills.Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) What we'll offer you You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.Experience levelExperienced ProfessionalsLocationBirmingham, London, Bristol, Newcastle, Manchester
21/07/2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Birmingham, London, Bristol, Newcastle, Manchester# Data EngineerThe Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS. The Role You Are Considering As a Data Engineer, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools.In addition to these core skills, you should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure ML to develop predictive models and drive business insights. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience with modern programming languages such as Python, Java, Scala & Pyspark. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations. Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery work Minimum 10+ years of experience as a Data Engineer or similar role. Proven expertise in the technologies below, and data pipeline development and strong understanding of data warehousing concepts and practices. Excellent problem-solving and analytical skills and strong communication and teamwork skills.Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) What we'll offer you You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.Experience levelExperienced ProfessionalsLocationBirmingham, London, Bristol, Newcastle, Manchester
Location: Warminster, Wiltshire, United Kingdom. Role Type: Hybrid. About us At OMNIA Training, we've brought together some of the UK's most innovative defence training organisations under one powerful mission: to transform the British Army's training system and create the best-trained Army in the world. OMNIA are redefining the British Army's collective training. To do that, we are looking for the best and brightest minds from across the UK. We are backed by British innovation and powered by world-class experts, like you. OMNIA is at the heart of the UK's bold Land Industrial Strategy. The role You'll work in a matrix organisation and report operationally through OMNIA Training and functionally to the Data Lead. Ultimately, you'll work for the British Army, championing innovation, and helping shape the future of military collective training. Key Responsibilities Collaborate with engineering, simulation, customer, third party and training teams to ensure seamless data management and integration across military training environments. Ensure the security and compliance of data environments through the implementation of appropriate security controls and governance frameworks. Author, review and contribute to technical documentation. Coordinate with cross-functional engineering teams-including QA, development, operations, and business SMEs. Assist in the design and implementation of scalable, high-performance data platforms and pipelines. Define and enforce data engineering standards, best practices, and governance frameworks including data lifecycle design, implementation and management. Implement the design and optimisation of data storage, processing, and retrieval strategies. Collaborate with cross-functional teams (data scientists, analysts, software engineers) to align data solutions with business needs. Drive adoption of modern data technologies (e.g., cloud-native platforms, streaming, orchestration tools). Contribute to data quality, security, compliance, and lineage practices across the organisation. Provide technical input and guidance to data engineering team members. Evaluate, select, and integrate new tools, frameworks, and platforms for the data ecosystem. Act as a subject matter expert in data strategy, influencing design decisions. Any other duties required to meet the needs of the programme. Who we are looking for We're after individuals who want to serve. You'll have a mission focus, and the enthusiasm and drive to 'get things done'. You'll want to work in collaboration with other defence training organisations, and the British Army. You won't let bureaucracy get in the way of what needs to be done, you'll learn lessons and share these lessons across the team, you'll understand what it means to put the mission first. The OMNIA Data Engineer will provide hands on technical oversight and management across the Army Collective Training Service (ACTS) data solutions. These will be prominently MODCloud hosted utilising Cloud Services from AWS, Azure, OCP where appropriate. Reporting to the Data Architect, you will play a key role in ensuring the effective design, assurance, transformation, and delivery of data across ACTS services and capabilities. This includes supporting the integration and operational use of data from legacy systems through API driven solutions. This role requires a systems thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment. Given the programme's focus on modelling and simulation, familiarity with relevant standards and technologies is highly desirable. Essential Skills and Experience Hands on experience with cloud platforms (AWS, Azure, GCP, OCI) and cloud native data services. Extensive experience designing and building large scale data pipelines and platforms. Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL). Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services. Strong programming skills in Python, Java, or Scala for data engineering. Hands on experience with data orchestration and workflow management tools (e.g., Airflow, Dagster, Prefect). Proven track record with data governance, quality, lineage, and security practices. Experience with real time/streaming data technologies, data ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Strong proficiency in relational and non relational databases (e.g., PostgreSQL, MongoDB, Cassandra). Deep knowledge of data transformation and ETL pipelines and APIs. Desirable Skills and Experience Degree in Data Engineering or equivalent professional accreditation such as CEng. Experience with graph databases and advanced query languages (e.g., Neo4j, Gremlin). Knowledge of machine learning data pipelines and MLOps practices. Familiarity with data virtualisation and data mesh concepts. Hands on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift and Ceph). Exposure to infrastructure as code tools (Terraform, CloudFormation). Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack). Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems. Strong background in performance tuning for high throughput, low latency data systems. Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Engineer, IBM Data Engineering Professional Certificate or similar. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
20/07/2026
Full time
Location: Warminster, Wiltshire, United Kingdom. Role Type: Hybrid. About us At OMNIA Training, we've brought together some of the UK's most innovative defence training organisations under one powerful mission: to transform the British Army's training system and create the best-trained Army in the world. OMNIA are redefining the British Army's collective training. To do that, we are looking for the best and brightest minds from across the UK. We are backed by British innovation and powered by world-class experts, like you. OMNIA is at the heart of the UK's bold Land Industrial Strategy. The role You'll work in a matrix organisation and report operationally through OMNIA Training and functionally to the Data Lead. Ultimately, you'll work for the British Army, championing innovation, and helping shape the future of military collective training. Key Responsibilities Collaborate with engineering, simulation, customer, third party and training teams to ensure seamless data management and integration across military training environments. Ensure the security and compliance of data environments through the implementation of appropriate security controls and governance frameworks. Author, review and contribute to technical documentation. Coordinate with cross-functional engineering teams-including QA, development, operations, and business SMEs. Assist in the design and implementation of scalable, high-performance data platforms and pipelines. Define and enforce data engineering standards, best practices, and governance frameworks including data lifecycle design, implementation and management. Implement the design and optimisation of data storage, processing, and retrieval strategies. Collaborate with cross-functional teams (data scientists, analysts, software engineers) to align data solutions with business needs. Drive adoption of modern data technologies (e.g., cloud-native platforms, streaming, orchestration tools). Contribute to data quality, security, compliance, and lineage practices across the organisation. Provide technical input and guidance to data engineering team members. Evaluate, select, and integrate new tools, frameworks, and platforms for the data ecosystem. Act as a subject matter expert in data strategy, influencing design decisions. Any other duties required to meet the needs of the programme. Who we are looking for We're after individuals who want to serve. You'll have a mission focus, and the enthusiasm and drive to 'get things done'. You'll want to work in collaboration with other defence training organisations, and the British Army. You won't let bureaucracy get in the way of what needs to be done, you'll learn lessons and share these lessons across the team, you'll understand what it means to put the mission first. The OMNIA Data Engineer will provide hands on technical oversight and management across the Army Collective Training Service (ACTS) data solutions. These will be prominently MODCloud hosted utilising Cloud Services from AWS, Azure, OCP where appropriate. Reporting to the Data Architect, you will play a key role in ensuring the effective design, assurance, transformation, and delivery of data across ACTS services and capabilities. This includes supporting the integration and operational use of data from legacy systems through API driven solutions. This role requires a systems thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment. Given the programme's focus on modelling and simulation, familiarity with relevant standards and technologies is highly desirable. Essential Skills and Experience Hands on experience with cloud platforms (AWS, Azure, GCP, OCI) and cloud native data services. Extensive experience designing and building large scale data pipelines and platforms. Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL). Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services. Strong programming skills in Python, Java, or Scala for data engineering. Hands on experience with data orchestration and workflow management tools (e.g., Airflow, Dagster, Prefect). Proven track record with data governance, quality, lineage, and security practices. Experience with real time/streaming data technologies, data ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Strong proficiency in relational and non relational databases (e.g., PostgreSQL, MongoDB, Cassandra). Deep knowledge of data transformation and ETL pipelines and APIs. Desirable Skills and Experience Degree in Data Engineering or equivalent professional accreditation such as CEng. Experience with graph databases and advanced query languages (e.g., Neo4j, Gremlin). Knowledge of machine learning data pipelines and MLOps practices. Familiarity with data virtualisation and data mesh concepts. Hands on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift and Ceph). Exposure to infrastructure as code tools (Terraform, CloudFormation). Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack). Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems. Strong background in performance tuning for high throughput, low latency data systems. Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Engineer, IBM Data Engineering Professional Certificate or similar. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role We're looking for a Staff Backend Engineer - Data Platform to be a key technical leader within the teams responsible for Depop's data platform. You'll drive the technical vision and implementation for our foundational data platform - from experimentation, event ingestion pipelines to our data lake, governance frameworks, and data observability and real-time analytics capabilities. You will work closely with data scientists, machine learning engineers, backend teams, and product leaders, providing deep technical expertise to ensure our data systems are scalable, secure, observable, and enable innovation across the company. Responsibilities Partner with stakeholders across Product, Data, and Engineering to translate strategic goals into well-architected, scalable platform capabilities. Drive the technical design and implementation of core data platform components, providing hands-on coding and architectural leadership. Define and evolve the technical roadmap for Depop's modern data platform, ensuring reliable and scalable analytics. Champion engineering excellence, setting high technical standards and advocating for best practices in system design, maintainability, performance, and privacy. Lead efforts in data observability, governance, and privacy-by-design principles, ensuring their robust implementation across the organization. Mentor and coach engineers, elevating the technical capabilities of the team and fostering a culture of technical excellence. Identify and address complex technical challenges and bottlenecks, proposing and implementing effective solutions. Qualifications Proven experience as a Staff Engineer or equivalent senior technical leadership role in data infrastructure or platform at scale, ideally in a consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems - including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale, encompassing both batch processing and real-time streaming architectures. Expertise in data warehousing concepts, advanced ETL/ELT processes, and analytics engineering best practices. Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms (AWS, GCP, or Azure). Extensive experience working with privacy-sensitive datasets and implementing robust data observability and governance frameworks. A strong technical background with a track record of hands-on architecture and development of complex data systems. Ability to think strategically and pragmatically: you can define long-term technical strategies and execute rapidly. Excellent communication and collaboration skills; you're comfortable influencing technical direction and aligning diverse stakeholders across the organization. Bonus points: Experience with machine learning infrastructure or ML Ops practices. Familiarity with event-driven architectures in a mobile-first product environment. Prior work in fashion, marketplaces, or sustainability-driven tech. Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!
18/07/2026
Full time
Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role We're looking for a Staff Backend Engineer - Data Platform to be a key technical leader within the teams responsible for Depop's data platform. You'll drive the technical vision and implementation for our foundational data platform - from experimentation, event ingestion pipelines to our data lake, governance frameworks, and data observability and real-time analytics capabilities. You will work closely with data scientists, machine learning engineers, backend teams, and product leaders, providing deep technical expertise to ensure our data systems are scalable, secure, observable, and enable innovation across the company. Responsibilities Partner with stakeholders across Product, Data, and Engineering to translate strategic goals into well-architected, scalable platform capabilities. Drive the technical design and implementation of core data platform components, providing hands-on coding and architectural leadership. Define and evolve the technical roadmap for Depop's modern data platform, ensuring reliable and scalable analytics. Champion engineering excellence, setting high technical standards and advocating for best practices in system design, maintainability, performance, and privacy. Lead efforts in data observability, governance, and privacy-by-design principles, ensuring their robust implementation across the organization. Mentor and coach engineers, elevating the technical capabilities of the team and fostering a culture of technical excellence. Identify and address complex technical challenges and bottlenecks, proposing and implementing effective solutions. Qualifications Proven experience as a Staff Engineer or equivalent senior technical leadership role in data infrastructure or platform at scale, ideally in a consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems - including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale, encompassing both batch processing and real-time streaming architectures. Expertise in data warehousing concepts, advanced ETL/ELT processes, and analytics engineering best practices. Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms (AWS, GCP, or Azure). Extensive experience working with privacy-sensitive datasets and implementing robust data observability and governance frameworks. A strong technical background with a track record of hands-on architecture and development of complex data systems. Ability to think strategically and pragmatically: you can define long-term technical strategies and execute rapidly. Excellent communication and collaboration skills; you're comfortable influencing technical direction and aligning diverse stakeholders across the organization. Bonus points: Experience with machine learning infrastructure or ML Ops practices. Familiarity with event-driven architectures in a mobile-first product environment. Prior work in fashion, marketplaces, or sustainability-driven tech. Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!
Summary: As our Solutions Analyst/Developer at South East Water, you will design, build, deploy, and constantly improve our Oracle-based applications and databases. You'll work right at the intersection of our hybrid setup, bridging our on-premise data centre with our modern Google Cloud Platform (GCP) environment. In this role, you'll write highly efficient database code and use Oracle APEX to design clean web interfaces, keeping our data flowing smoothly between both worlds. We are a forward-thinking technology team bridging the reliability of robust, secure on-premise infrastructure with the dynamic scalability of the cloud. Our core systems are built on Oracle and Google Cloud Platform (GCP). We are seeking a highly skilled Developer to design, develop, and modernise our suite of business-critical web applications. If you are a database-centric developer who loves building highly responsive low-code applications while navigating the exciting complexities of a hybrid on-premise/GCP multi-data-centre architecture, we want to hear from you! Main Responsibilities Oracle APEX & Web Development Design, develop, and maintain secure, responsive, and user-friendly Oracle APEX applications. Implement custom UI/UX requirements using HTML, CSS, JavaScript, and custom APEX plugins. Configure APEX authentication and authorization schemes integrated with enterprise Identity Providers (IdP). Build and manage interactive grids, charts, and highly customized reports. Database Engineering & PL/SQL Write clean, maintainable, and highly optimized PL/SQL code (packages, procedures, functions, triggers, and types). Architect and design relational data models, ensuring data integrity, normalization, and performance efficiency. Perform query tuning, analyse execution plans, and optimize indexes to ensure low latency across massive datasets. Build robust RESTful APIs using Oracle REST Data Services (ORDS) to expose database endpoints. Hybrid Infrastructure & Cloud Integration Collaborate with Cloud Engineers and DBAs to support database infrastructure running on-premise and on Google Cloud Platform (GCP). Support data replication, ETL pipelines, and secure networking between on-premise Oracle databases and GCP-hosted resources (e.g., Cloud SQL, Compute Engine, BigQuery). Develop routines for cross-data-center data synchronization and integrity validation. Participate in database migration plans, backup strategies, and Disaster Recovery (DR) drills involving both on-premise and GCP topologies. You'll need: Skills / Qualifications / Experience Oracle Database: Extensive knowledge of Oracle Database 19c / 23c database objects, memory architecture, and optimization. PL/SQL Mastery: Expert-level writing of complex PL/SQL block structures, analytical functions, bulk collections, and exception handling. Oracle APEX: Strong experience with modern APEX version 24 and newer, custom themes, templates, and JavaScript integration. API Development: Proficient in configuring and developing ORDS REST APIs. Web Basics: Solid foundational understanding of HTML5, CSS3, JavaScript, and JSON formatting. Cloud Infrastructure: Familiarity with GCP core services (GCE, Cloud SQL for MySQL, Cloud Storage and IAM). CI/CD & DevOps: Experience with Git version control and CI/CD pipelines (such as GitLab CI, or Google Cloud Build). Alternative Databases: Experience with SQL Server & Google BigQuery is a strong plus. Degree in Computer Science, Information Technology, or a closely related quantitative field. Demonstrable professional experience in Oracle PL/SQL development. Demonstrable experience specifically developing and deploying applications with Oracle APEX. Grow a career with a meaningful purpose. We know the communities we serve are diverse. We recognise creativity comes from diversity not similarity. That's why we are enthusiastic about creating inclusion across age, race, gender, ethnicity, religion and identity. You will experience our dedication to equal opportunities and fair treatment for all: through your recruitment, employment and career progression with South East Water. Benefits package: Excellent Stakeholder pension scheme, up to 10% employer contribution. 5 weeks holiday plus bank holidays per annum, increasing to 6 weeks with length of service. Flexible annual leave policy to buy or sell holiday leave. Paid volunteering days. Cycle to work scheme. Health cash plan. Life assurance. Wellbeing related benefits. What can you expect from your recruitment? To apply for this position, please submit your CV on our career's website. It is necessary for you to have the legal right to work in the UK when you begin employment with South East Water. Additionally, as part of the employment offer, you will need to pass background, identity, and employment referencing checks. If this sounds like the opportunity you've been looking for, apply now! South East Water kindly asks that recruitment agencies refrain from submitting CVs to our employees or associates without explicit invitation from our HR Resourcing team. CVs sent on a speculative basis will not be acknowledged and will not assume any responsibility for fees or commissions in the event that we hire a candidate who applied directly or subsequently introduced by an instructed agency. Compensation package: £40,000 - £55,000 p.a. (dependent on experience)
18/07/2026
Full time
Summary: As our Solutions Analyst/Developer at South East Water, you will design, build, deploy, and constantly improve our Oracle-based applications and databases. You'll work right at the intersection of our hybrid setup, bridging our on-premise data centre with our modern Google Cloud Platform (GCP) environment. In this role, you'll write highly efficient database code and use Oracle APEX to design clean web interfaces, keeping our data flowing smoothly between both worlds. We are a forward-thinking technology team bridging the reliability of robust, secure on-premise infrastructure with the dynamic scalability of the cloud. Our core systems are built on Oracle and Google Cloud Platform (GCP). We are seeking a highly skilled Developer to design, develop, and modernise our suite of business-critical web applications. If you are a database-centric developer who loves building highly responsive low-code applications while navigating the exciting complexities of a hybrid on-premise/GCP multi-data-centre architecture, we want to hear from you! Main Responsibilities Oracle APEX & Web Development Design, develop, and maintain secure, responsive, and user-friendly Oracle APEX applications. Implement custom UI/UX requirements using HTML, CSS, JavaScript, and custom APEX plugins. Configure APEX authentication and authorization schemes integrated with enterprise Identity Providers (IdP). Build and manage interactive grids, charts, and highly customized reports. Database Engineering & PL/SQL Write clean, maintainable, and highly optimized PL/SQL code (packages, procedures, functions, triggers, and types). Architect and design relational data models, ensuring data integrity, normalization, and performance efficiency. Perform query tuning, analyse execution plans, and optimize indexes to ensure low latency across massive datasets. Build robust RESTful APIs using Oracle REST Data Services (ORDS) to expose database endpoints. Hybrid Infrastructure & Cloud Integration Collaborate with Cloud Engineers and DBAs to support database infrastructure running on-premise and on Google Cloud Platform (GCP). Support data replication, ETL pipelines, and secure networking between on-premise Oracle databases and GCP-hosted resources (e.g., Cloud SQL, Compute Engine, BigQuery). Develop routines for cross-data-center data synchronization and integrity validation. Participate in database migration plans, backup strategies, and Disaster Recovery (DR) drills involving both on-premise and GCP topologies. You'll need: Skills / Qualifications / Experience Oracle Database: Extensive knowledge of Oracle Database 19c / 23c database objects, memory architecture, and optimization. PL/SQL Mastery: Expert-level writing of complex PL/SQL block structures, analytical functions, bulk collections, and exception handling. Oracle APEX: Strong experience with modern APEX version 24 and newer, custom themes, templates, and JavaScript integration. API Development: Proficient in configuring and developing ORDS REST APIs. Web Basics: Solid foundational understanding of HTML5, CSS3, JavaScript, and JSON formatting. Cloud Infrastructure: Familiarity with GCP core services (GCE, Cloud SQL for MySQL, Cloud Storage and IAM). CI/CD & DevOps: Experience with Git version control and CI/CD pipelines (such as GitLab CI, or Google Cloud Build). Alternative Databases: Experience with SQL Server & Google BigQuery is a strong plus. Degree in Computer Science, Information Technology, or a closely related quantitative field. Demonstrable professional experience in Oracle PL/SQL development. Demonstrable experience specifically developing and deploying applications with Oracle APEX. Grow a career with a meaningful purpose. We know the communities we serve are diverse. We recognise creativity comes from diversity not similarity. That's why we are enthusiastic about creating inclusion across age, race, gender, ethnicity, religion and identity. You will experience our dedication to equal opportunities and fair treatment for all: through your recruitment, employment and career progression with South East Water. Benefits package: Excellent Stakeholder pension scheme, up to 10% employer contribution. 5 weeks holiday plus bank holidays per annum, increasing to 6 weeks with length of service. Flexible annual leave policy to buy or sell holiday leave. Paid volunteering days. Cycle to work scheme. Health cash plan. Life assurance. Wellbeing related benefits. What can you expect from your recruitment? To apply for this position, please submit your CV on our career's website. It is necessary for you to have the legal right to work in the UK when you begin employment with South East Water. Additionally, as part of the employment offer, you will need to pass background, identity, and employment referencing checks. If this sounds like the opportunity you've been looking for, apply now! South East Water kindly asks that recruitment agencies refrain from submitting CVs to our employees or associates without explicit invitation from our HR Resourcing team. CVs sent on a speculative basis will not be acknowledged and will not assume any responsibility for fees or commissions in the event that we hire a candidate who applied directly or subsequently introduced by an instructed agency. Compensation package: £40,000 - £55,000 p.a. (dependent on experience)
Cloud Data Engineer About the Job you are considering: We are seeking an experienced Cloud Data Engineer with expertise in AWS, Snowflake, dbt, PySpark, and SQL to design, build, and maintain scalable cloud-based data platforms and analytics solutions. The ideal candidate should have strong experience in cloud data engineering, ETL/ELT development, data transformation, data warehousing, and performance optimization. Experience working in regulated industries such as Banking, Financial Services, Insurance, or Healthcare is preferred. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: Design, develop, and maintain scalable data pipelines using AWS cloud services. Build and manage ETL/ELT workflows for data ingestion, transformation, validation, and reporting. Develop and maintain dbt models, tests, snapshots, macros, and documentation. Create high-performance data transformation solutions using PySpark and SQL. Design and optimize Snowflake data warehouse solutions. Integrate data from multiple sources including databases, APIs, cloud storage, and third party systems. Implement data quality, reconciliation, audit controls, and exception handling. Optimize data processing jobs for performance, scalability, and cost efficiency. Develop CI/CD pipelines and automate deployment processes. Collaborate with architects, business analysts, QA teams, and stakeholders. Ensure data security, governance, compliance, and access controls. Support production deployment, monitoring, incident management, and troubleshooting. Prepare technical documentation and operational runbooks. Your Skills Cloud & Data Engineering Strong hands on experience with AWS cloud platform. Experience in designing cloud based data platforms. Strong ETL/ELT development experience. Experience building enterprise grade data pipelines. Snowflake Strong experience with Snowflake Data Warehouse. Experience in Snowflake performance tuning. Knowledge of Snowpipe, Streams, Tasks, and Stored Procedures. Experience implementing RBAC and security controls. DBT Hands on experience with dbt Core or dbt Cloud. Development of reusable models, macros, tests, and snapshots. Data lineage, documentation, and dependency management. Integration with CI/CD pipelines. PySpark & Programming Strong PySpark development expertise. Experience processing large scale datasets. Code optimization and performance tuning. Data transformation, enrichment, aggregations, and joins. SQL Advanced SQL skills. Stored procedures, CTEs, window functions, and query optimization. Data warehousing and dimensional modelling concepts. AWS Skills Expected Candidate should have experience with one or more of the following AWS services: Amazon S3 AWS Glue Amazon EMR AWS Lambda AWS Step Functions Amazon Redshift Amazon Athena Amazon RDS / Aurora AWS IAM AWS KMS Amazon CloudWatch AWS Secrets Manager Data Modelling Skills Star Schema Snowflake Schema Dimensional Modeling Data Vault Data Warehouse Design Data Lake Architecture Data Formats Experience working with: Parquet Avro JSON CSV ORC CI/CD & DevOps Git GitHub GitLab Bitbucket Jenkins GitHub Actions GitLab CI/CD AWS DevOps Tools Domain Experience (Preferred) Experience in one or more domains: Banking Financial Services Payments Cards Loans & Mortgages Risk & Compliance Regulatory Reporting AML Fraud Analytics Customer Data Platforms Financial Reporting Data Governance We are a Disability Confident Employer The company is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who declare a disability and meet the minimum essential criteria for the role. Make It Real (what does it mean for you) You'll be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. To help support wellbeing we have trained "Mental Health Champions" across each of our business areas and invested in wellbeing apps such as Thrive and Peppy. You will be empowered to explore, innovate, and progress. You will benefit from the company's learning for life mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and more. You will be joining one of the World's Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years.
17/07/2026
Full time
Cloud Data Engineer About the Job you are considering: We are seeking an experienced Cloud Data Engineer with expertise in AWS, Snowflake, dbt, PySpark, and SQL to design, build, and maintain scalable cloud-based data platforms and analytics solutions. The ideal candidate should have strong experience in cloud data engineering, ETL/ELT development, data transformation, data warehousing, and performance optimization. Experience working in regulated industries such as Banking, Financial Services, Insurance, or Healthcare is preferred. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: Design, develop, and maintain scalable data pipelines using AWS cloud services. Build and manage ETL/ELT workflows for data ingestion, transformation, validation, and reporting. Develop and maintain dbt models, tests, snapshots, macros, and documentation. Create high-performance data transformation solutions using PySpark and SQL. Design and optimize Snowflake data warehouse solutions. Integrate data from multiple sources including databases, APIs, cloud storage, and third party systems. Implement data quality, reconciliation, audit controls, and exception handling. Optimize data processing jobs for performance, scalability, and cost efficiency. Develop CI/CD pipelines and automate deployment processes. Collaborate with architects, business analysts, QA teams, and stakeholders. Ensure data security, governance, compliance, and access controls. Support production deployment, monitoring, incident management, and troubleshooting. Prepare technical documentation and operational runbooks. Your Skills Cloud & Data Engineering Strong hands on experience with AWS cloud platform. Experience in designing cloud based data platforms. Strong ETL/ELT development experience. Experience building enterprise grade data pipelines. Snowflake Strong experience with Snowflake Data Warehouse. Experience in Snowflake performance tuning. Knowledge of Snowpipe, Streams, Tasks, and Stored Procedures. Experience implementing RBAC and security controls. DBT Hands on experience with dbt Core or dbt Cloud. Development of reusable models, macros, tests, and snapshots. Data lineage, documentation, and dependency management. Integration with CI/CD pipelines. PySpark & Programming Strong PySpark development expertise. Experience processing large scale datasets. Code optimization and performance tuning. Data transformation, enrichment, aggregations, and joins. SQL Advanced SQL skills. Stored procedures, CTEs, window functions, and query optimization. Data warehousing and dimensional modelling concepts. AWS Skills Expected Candidate should have experience with one or more of the following AWS services: Amazon S3 AWS Glue Amazon EMR AWS Lambda AWS Step Functions Amazon Redshift Amazon Athena Amazon RDS / Aurora AWS IAM AWS KMS Amazon CloudWatch AWS Secrets Manager Data Modelling Skills Star Schema Snowflake Schema Dimensional Modeling Data Vault Data Warehouse Design Data Lake Architecture Data Formats Experience working with: Parquet Avro JSON CSV ORC CI/CD & DevOps Git GitHub GitLab Bitbucket Jenkins GitHub Actions GitLab CI/CD AWS DevOps Tools Domain Experience (Preferred) Experience in one or more domains: Banking Financial Services Payments Cards Loans & Mortgages Risk & Compliance Regulatory Reporting AML Fraud Analytics Customer Data Platforms Financial Reporting Data Governance We are a Disability Confident Employer The company is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who declare a disability and meet the minimum essential criteria for the role. Make It Real (what does it mean for you) You'll be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. To help support wellbeing we have trained "Mental Health Champions" across each of our business areas and invested in wellbeing apps such as Thrive and Peppy. You will be empowered to explore, innovate, and progress. You will benefit from the company's learning for life mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and more. You will be joining one of the World's Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years.
Who You Will Be Working WithThe Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS.The Role You Are ConsideringAs a Data Engineer, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.What You Will BringDesign and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services.Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to DataWarehouses, Data Lakes, and Lake Houses using Open Source and cloud tools.Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights.Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery workMinimum 10+ years of experience as a Data Engineer or similar role.Proven expertise in the technologies below, and data pipeline development and strong understanding of data warehousing concepts and practices.Excellent problem-solving and analytical skills and strong communication and teamwork skills.In addition to these core skills, you should have specialist experience in one or more of the following technologiesAzure DatabricksDesign and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.Experience of Databricks ML and Azure ML to develop predictive models and drive business insights.Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices.Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory.Azure Data Engineer Associate and Databricks Certified Data Engineer ProfessionalAWSProficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.Programming Skills: Strong experience with modern programming languages such as Python, Java, Scala & Pyspark.Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop.Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data setsFurther InfoSecurity Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)What we'll offer youYou will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.Why we're differentAt Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.
17/07/2026
Full time
Who You Will Be Working WithThe Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS.The Role You Are ConsideringAs a Data Engineer, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.What You Will BringDesign and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services.Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to DataWarehouses, Data Lakes, and Lake Houses using Open Source and cloud tools.Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights.Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery workMinimum 10+ years of experience as a Data Engineer or similar role.Proven expertise in the technologies below, and data pipeline development and strong understanding of data warehousing concepts and practices.Excellent problem-solving and analytical skills and strong communication and teamwork skills.In addition to these core skills, you should have specialist experience in one or more of the following technologiesAzure DatabricksDesign and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.Experience of Databricks ML and Azure ML to develop predictive models and drive business insights.Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices.Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory.Azure Data Engineer Associate and Databricks Certified Data Engineer ProfessionalAWSProficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.Programming Skills: Strong experience with modern programming languages such as Python, Java, Scala & Pyspark.Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop.Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data setsFurther InfoSecurity Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)What we'll offer youYou will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.Why we're differentAt Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.
Norfolk St, Sheffield City Centre, Sheffield S1 2JE, UK Job Description Job Title: Looker Developer (BI Analyst) Department: Data & Insights Location: Sheffield or London Working Pattern: Hybrid, includes 3 days each week in the office Contract Type: Full time, permanent Salary: Up to £50,000 per annum Role overview As a Looker Developer at Tes, you will play a key role in our data transformation journey, helping scale and mature our analytics capabilities through Looker. You will be responsible for designing, developing, and maintaining LookML models and delivering high-quality, governed data experiences across the business. Working closely with the wider Data & Insights team and business stakeholders, you will ensure that data is modelled effectively, accessible, and trusted-empowering teams to make data-driven decisions that positively impact the education sector. This role sits within the Data & Insights department. Key Responsibilities Act as a subject matter expert for Looker, advocating best practices in semantic modelling, governance, and self-service analytics Design, develop, and maintain LookML models, including views, explores, and dashboards Build scalable and reusable semantic layers to ensure consistency and trust in business metrics Partner with Sales, Marketing, Product, and Finance teams to understand reporting needs and translate them into robust Looker solutions Develop and maintain data pipelines and transformations (in collaboration with analytics engineering teams) to support Looker models Optimise Looker performance through efficient modelling, caching strategies, and query design Enable and promote self-service analytics by creating intuitive dashboards and curated explores Enforce data governance standards, ensuring accuracy, consistency, and proper documentation of metrics Analyse datasets to identify trends, patterns, and insights, clearly communicating findings to stakeholders Support business users in adopting Looker, including training, documentation, and best practice guidance Collaborate cross-functionally to align on KPIs, definitions, and data strategy Contribute to continuous improvement of the data platform, tooling, and processes What will you need to succeed? Strong experience with Looker and LookML development Advanced SQL skills with several years of hands-on experience Experience building scalable semantic layers in a BI tool (Looker preferred) Solid understanding of data modelling principles (e.g., star schema, dimensional modelling) Experience with ETL/ELT tools (e.g., dbt, Fivetran or similar) Knowledge of data governance and metric standardisation practices Experience delivering high-quality dashboards and data visualisations Strong analytical and problem-solving skills Ability to translate business requirements into technical solutions Excellent stakeholder engagement skills and the ability to influence decision-making A curious mindset with a passion for continuous learning It's beneficial if you have experience/knowledge in: Advanced Looker capabilities, such as extensions, API usage, or embedded analytics Cloud data platforms (e.g., AWS Redshift, Snowflake, BigQuery) Analytics engineering practices and tools (e.g., dbt testing, CI/CD for LookML) Programming languages such as Python or R Working on data transformation or modern data stack implementations Supporting or driving organisation-wide BI adoption initiatives What do you get in return? 25 days annual leave rising to 30 State of the art offices Access to a range of benefits via My Benefits World Free eye care cover Life Assurance Cycle to Work Scheme EAP (Employee assistance programme) Quarterly Tes Socials Access to an extensive Learning and Development menu
16/07/2026
Full time
Norfolk St, Sheffield City Centre, Sheffield S1 2JE, UK Job Description Job Title: Looker Developer (BI Analyst) Department: Data & Insights Location: Sheffield or London Working Pattern: Hybrid, includes 3 days each week in the office Contract Type: Full time, permanent Salary: Up to £50,000 per annum Role overview As a Looker Developer at Tes, you will play a key role in our data transformation journey, helping scale and mature our analytics capabilities through Looker. You will be responsible for designing, developing, and maintaining LookML models and delivering high-quality, governed data experiences across the business. Working closely with the wider Data & Insights team and business stakeholders, you will ensure that data is modelled effectively, accessible, and trusted-empowering teams to make data-driven decisions that positively impact the education sector. This role sits within the Data & Insights department. Key Responsibilities Act as a subject matter expert for Looker, advocating best practices in semantic modelling, governance, and self-service analytics Design, develop, and maintain LookML models, including views, explores, and dashboards Build scalable and reusable semantic layers to ensure consistency and trust in business metrics Partner with Sales, Marketing, Product, and Finance teams to understand reporting needs and translate them into robust Looker solutions Develop and maintain data pipelines and transformations (in collaboration with analytics engineering teams) to support Looker models Optimise Looker performance through efficient modelling, caching strategies, and query design Enable and promote self-service analytics by creating intuitive dashboards and curated explores Enforce data governance standards, ensuring accuracy, consistency, and proper documentation of metrics Analyse datasets to identify trends, patterns, and insights, clearly communicating findings to stakeholders Support business users in adopting Looker, including training, documentation, and best practice guidance Collaborate cross-functionally to align on KPIs, definitions, and data strategy Contribute to continuous improvement of the data platform, tooling, and processes What will you need to succeed? Strong experience with Looker and LookML development Advanced SQL skills with several years of hands-on experience Experience building scalable semantic layers in a BI tool (Looker preferred) Solid understanding of data modelling principles (e.g., star schema, dimensional modelling) Experience with ETL/ELT tools (e.g., dbt, Fivetran or similar) Knowledge of data governance and metric standardisation practices Experience delivering high-quality dashboards and data visualisations Strong analytical and problem-solving skills Ability to translate business requirements into technical solutions Excellent stakeholder engagement skills and the ability to influence decision-making A curious mindset with a passion for continuous learning It's beneficial if you have experience/knowledge in: Advanced Looker capabilities, such as extensions, API usage, or embedded analytics Cloud data platforms (e.g., AWS Redshift, Snowflake, BigQuery) Analytics engineering practices and tools (e.g., dbt testing, CI/CD for LookML) Programming languages such as Python or R Working on data transformation or modern data stack implementations Supporting or driving organisation-wide BI adoption initiatives What do you get in return? 25 days annual leave rising to 30 State of the art offices Access to a range of benefits via My Benefits World Free eye care cover Life Assurance Cycle to Work Scheme EAP (Employee assistance programme) Quarterly Tes Socials Access to an extensive Learning and Development menu
Norfolk St, Sheffield City Centre, Sheffield S1 2JE, UK Job Description Job Title: Looker Developer (BI Analyst) Department: Data & Insights Location: Sheffield or London Working Pattern: Hybrid, includes 3 days each week in the office Contract Type: Full time, permanent Salary: Up to £50,000 per annum Role overview As a Looker Developer at Tes, you will play a key role in our data transformation journey, helping scale and mature our analytics capabilities through Looker. You will be responsible for designing, developing, and maintaining LookML models and delivering high-quality, governed data experiences across the business. Working closely with the wider Data & Insights team and business stakeholders, you will ensure that data is modelled effectively, accessible, and trusted-empowering teams to make data-driven decisions that positively impact the education sector. This role sits within the Data & Insights department. Key Responsibilities Act as a subject matter expert for Looker, advocating best practices in semantic modelling, governance, and self-service analytics Design, develop, and maintain LookML models, including views, explores, and dashboards Build scalable and reusable semantic layers to ensure consistency and trust in business metrics Partner with Sales, Marketing, Product, and Finance teams to understand reporting needs and translate them into robust Looker solutions Develop and maintain data pipelines and transformations (in collaboration with analytics engineering teams) to support Looker models Optimise Looker performance through efficient modelling, caching strategies, and query design Enable and promote self-service analytics by creating intuitive dashboards and curated explores Enforce data governance standards, ensuring accuracy, consistency, and proper documentation of metrics Analyse datasets to identify trends, patterns, and insights, clearly communicating findings to stakeholders Support business users in adopting Looker, including training, documentation, and best practice guidance Collaborate cross-functionally to align on KPIs, definitions, and data strategy Contribute to continuous improvement of the data platform, tooling, and processes What will you need to succeed? Strong experience with Looker and LookML development Advanced SQL skills with several years of hands-on experience Experience building scalable semantic layers in a BI tool (Looker preferred) Solid understanding of data modelling principles (e.g., star schema, dimensional modelling) Experience with ETL/ELT tools (e.g., dbt, Fivetran or similar) Knowledge of data governance and metric standardisation practices Experience delivering high-quality dashboards and data visualisations Strong analytical and problem-solving skills Ability to translate business requirements into technical solutions Excellent stakeholder engagement skills and the ability to influence decision-making A curious mindset with a passion for continuous learning It's beneficial if you have experience/knowledge in: Advanced Looker capabilities, such as extensions, API usage, or embedded analytics Cloud data platforms (e.g., AWS Redshift, Snowflake, BigQuery) Analytics engineering practices and tools (e.g., dbt testing, CI/CD for LookML) Programming languages such as Python or R Working on data transformation or modern data stack implementations Supporting or driving organisation-wide BI adoption initiatives What do you get in return? 25 days annual leave rising to 30 State of the art offices Access to a range of benefits via My Benefits World Free eye care cover Life Assurance Cycle to Work Scheme EAP (Employee assistance programme) Quarterly Tes Socials Access to an extensive Learning and Development menu
16/07/2026
Full time
Norfolk St, Sheffield City Centre, Sheffield S1 2JE, UK Job Description Job Title: Looker Developer (BI Analyst) Department: Data & Insights Location: Sheffield or London Working Pattern: Hybrid, includes 3 days each week in the office Contract Type: Full time, permanent Salary: Up to £50,000 per annum Role overview As a Looker Developer at Tes, you will play a key role in our data transformation journey, helping scale and mature our analytics capabilities through Looker. You will be responsible for designing, developing, and maintaining LookML models and delivering high-quality, governed data experiences across the business. Working closely with the wider Data & Insights team and business stakeholders, you will ensure that data is modelled effectively, accessible, and trusted-empowering teams to make data-driven decisions that positively impact the education sector. This role sits within the Data & Insights department. Key Responsibilities Act as a subject matter expert for Looker, advocating best practices in semantic modelling, governance, and self-service analytics Design, develop, and maintain LookML models, including views, explores, and dashboards Build scalable and reusable semantic layers to ensure consistency and trust in business metrics Partner with Sales, Marketing, Product, and Finance teams to understand reporting needs and translate them into robust Looker solutions Develop and maintain data pipelines and transformations (in collaboration with analytics engineering teams) to support Looker models Optimise Looker performance through efficient modelling, caching strategies, and query design Enable and promote self-service analytics by creating intuitive dashboards and curated explores Enforce data governance standards, ensuring accuracy, consistency, and proper documentation of metrics Analyse datasets to identify trends, patterns, and insights, clearly communicating findings to stakeholders Support business users in adopting Looker, including training, documentation, and best practice guidance Collaborate cross-functionally to align on KPIs, definitions, and data strategy Contribute to continuous improvement of the data platform, tooling, and processes What will you need to succeed? Strong experience with Looker and LookML development Advanced SQL skills with several years of hands-on experience Experience building scalable semantic layers in a BI tool (Looker preferred) Solid understanding of data modelling principles (e.g., star schema, dimensional modelling) Experience with ETL/ELT tools (e.g., dbt, Fivetran or similar) Knowledge of data governance and metric standardisation practices Experience delivering high-quality dashboards and data visualisations Strong analytical and problem-solving skills Ability to translate business requirements into technical solutions Excellent stakeholder engagement skills and the ability to influence decision-making A curious mindset with a passion for continuous learning It's beneficial if you have experience/knowledge in: Advanced Looker capabilities, such as extensions, API usage, or embedded analytics Cloud data platforms (e.g., AWS Redshift, Snowflake, BigQuery) Analytics engineering practices and tools (e.g., dbt testing, CI/CD for LookML) Programming languages such as Python or R Working on data transformation or modern data stack implementations Supporting or driving organisation-wide BI adoption initiatives What do you get in return? 25 days annual leave rising to 30 State of the art offices Access to a range of benefits via My Benefits World Free eye care cover Life Assurance Cycle to Work Scheme EAP (Employee assistance programme) Quarterly Tes Socials Access to an extensive Learning and Development menu
Junior Data EngineerApplylocations: GB - Bristol - Coldharbour Lanetime type: Full timeposted on: Posted Todayjob requisition id: R Job Description: Salary Range: £37,318 - £50,000Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your impact Are you ready to start your career in data engineering and support solutions that underpin secure, high-integrity systems and services? At Leonardo UK, our Data Engineer Technicians assist with data workflows, automation, and integration under the guidance of experienced engineers. Your work at Leonardo UK will see you take the lead in solving customer problems in an agile, innovative and team-centric manner. The role may involve a blended hybrid working model, with a mixture of working from home and working on site at one of our Leonardo offices to ensure close collaboration with the wider team and with our customers. What you will do as a Junior Data Engineer Assist in designing and building secure, scalable data solutions under guidance, progressing to independent tasks. Develop tools for data-driven insights and task automation Research and train in emerging technologies Work with cloud platforms and diverse operating systems Support development and deployment of machine learning models Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants Leverage big data technologies and orchestration tools Document processes and maintain configuration records Participate in team meetings and knowledge-sharing sessions What you'll bring Assist in preparing and integrating data across systems. Support ETL processes and basic pipeline testing. Maintain documentation and configuration records. Learn and apply secure coding practices. Ability to work independently on defined tasks and escalate issues when neededCore Areas (must have): Data engineering fundamentals (ETL, pipelines). Programming (Python, SQL). Cloud and orchestration exposure. Documentation and compliance awareness. Collaboration and communication.Desirable: Degree in STEM, Data, AI or Programming-related field Experience to Docker and APIs Familiarity with CI/CD practices Interest in Agile and DevOps practices. Exposure to big data tools e.g. Spark, Hadoop, NiFi Understanding of ML algorithms and deploymentThis is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now!
16/07/2026
Full time
Junior Data EngineerApplylocations: GB - Bristol - Coldharbour Lanetime type: Full timeposted on: Posted Todayjob requisition id: R Job Description: Salary Range: £37,318 - £50,000Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your impact Are you ready to start your career in data engineering and support solutions that underpin secure, high-integrity systems and services? At Leonardo UK, our Data Engineer Technicians assist with data workflows, automation, and integration under the guidance of experienced engineers. Your work at Leonardo UK will see you take the lead in solving customer problems in an agile, innovative and team-centric manner. The role may involve a blended hybrid working model, with a mixture of working from home and working on site at one of our Leonardo offices to ensure close collaboration with the wider team and with our customers. What you will do as a Junior Data Engineer Assist in designing and building secure, scalable data solutions under guidance, progressing to independent tasks. Develop tools for data-driven insights and task automation Research and train in emerging technologies Work with cloud platforms and diverse operating systems Support development and deployment of machine learning models Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants Leverage big data technologies and orchestration tools Document processes and maintain configuration records Participate in team meetings and knowledge-sharing sessions What you'll bring Assist in preparing and integrating data across systems. Support ETL processes and basic pipeline testing. Maintain documentation and configuration records. Learn and apply secure coding practices. Ability to work independently on defined tasks and escalate issues when neededCore Areas (must have): Data engineering fundamentals (ETL, pipelines). Programming (Python, SQL). Cloud and orchestration exposure. Documentation and compliance awareness. Collaboration and communication.Desirable: Degree in STEM, Data, AI or Programming-related field Experience to Docker and APIs Familiarity with CI/CD practices Interest in Agile and DevOps practices. Exposure to big data tools e.g. Spark, Hadoop, NiFi Understanding of ML algorithms and deploymentThis is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now!
Job Description Your impact Are you ready to start your career in data engineering and support solutions that underpin secure, high-integrity systems and services? At Leonardo UK, our Data Engineer Technicians assist with data workflows, automation, and integration under the guidance of experienced engineers. Your work at Leonardo UK will see you take the lead in solving customer problems in an agile, innovative and team-centric manner. The role may involve a blended hybrid working model, with a mixture of working from home and working on site at one of our Leonardo offices to ensure close collaboration with the wider team and with our customers. What you will do as a Data Engineer Assist in designing and building secure, scalable data solutions under guidance, progressing to independent tasks. Develop tools for data-driven insights and task automation Research and train in emerging technologies Work with cloud platforms and diverse operating systems Support development and deployment of machine learning models Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants Leverage big data technologies and orchestration tools Document processes and maintain configuration records Participate in team meetings and knowledge-sharing sessions What you'll bring Assist in preparing and integrating data across systems. Support ETL processes and basic pipeline testing. Maintain documentation and configuration records. Learn and apply secure coding practices. Ability to work independently on defined tasks and elevate issues when needed Core Areas (must have) Data engineering fundamentals (ETL, pipelines). Programming (Python, SQL). Cloud and orchestration exposure. Documentation and compliance awareness. Collaboration and communication. Desirable Degree in STEM, Data, AI or Programming-related field Experience to Docker and APIs Familiarity with CI/CD practices Interest in Agile and DevOps practices. Exposure to big data tools e.g. Spark, Hadoop, NiFi Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Benefits Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance: All employees at management level and below are eligible for our bonus scheme. Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Location and Contract Primary Location: GB - Bristol - Coldharbour Lane Contract Type: Permanent Hybrid Working: Hybrid
16/07/2026
Full time
Job Description Your impact Are you ready to start your career in data engineering and support solutions that underpin secure, high-integrity systems and services? At Leonardo UK, our Data Engineer Technicians assist with data workflows, automation, and integration under the guidance of experienced engineers. Your work at Leonardo UK will see you take the lead in solving customer problems in an agile, innovative and team-centric manner. The role may involve a blended hybrid working model, with a mixture of working from home and working on site at one of our Leonardo offices to ensure close collaboration with the wider team and with our customers. What you will do as a Data Engineer Assist in designing and building secure, scalable data solutions under guidance, progressing to independent tasks. Develop tools for data-driven insights and task automation Research and train in emerging technologies Work with cloud platforms and diverse operating systems Support development and deployment of machine learning models Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants Leverage big data technologies and orchestration tools Document processes and maintain configuration records Participate in team meetings and knowledge-sharing sessions What you'll bring Assist in preparing and integrating data across systems. Support ETL processes and basic pipeline testing. Maintain documentation and configuration records. Learn and apply secure coding practices. Ability to work independently on defined tasks and elevate issues when needed Core Areas (must have) Data engineering fundamentals (ETL, pipelines). Programming (Python, SQL). Cloud and orchestration exposure. Documentation and compliance awareness. Collaboration and communication. Desirable Degree in STEM, Data, AI or Programming-related field Experience to Docker and APIs Familiarity with CI/CD practices Interest in Agile and DevOps practices. Exposure to big data tools e.g. Spark, Hadoop, NiFi Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Benefits Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance: All employees at management level and below are eligible for our bonus scheme. Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Location and Contract Primary Location: GB - Bristol - Coldharbour Lane Contract Type: Permanent Hybrid Working: Hybrid
Salary Salary Range: £37,318 - £50,000. Leonardo UK operates a grade based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. About the Role Are you ready to start your career in data engineering and support solutions that underpin secure, high integrity systems and services? At Leonardo UK, our Data Engineer Technicians assist with data workflows, automation, and integration under the guidance of experienced engineers. Your work will see you take the lead in solving customer problems in an agile, innovative, and team centric manner. What You'll Do Assist in designing and building secure, scalable data solutions under guidance, progressing to independent tasks. Develop tools for data driven insights and task automation. Research and train in emerging technologies. Work with cloud platforms and diverse operating systems. Support development and deployment of machine learning models. Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants. Leverage big data technologies and orchestration tools. Document processes and maintain configuration records. Participate in team meetings and knowledge sharing sessions. Requirements & Qualifications Core Areas (must have) Data engineering fundamentals - ETL, pipelines. Programming - Python, SQL. Cloud and orchestration exposure. Documentation and compliance awareness. Collaboration and communication skills. Desirable Degree in STEM, Data, AI or Programming related field. Experience with Docker and APIs. Familiarity with CI/CD practices. Interest in Agile and DevOps practices. Exposure to big data tools (e.g., Spark, Hadoop, NiFi). Understanding of ML algorithms and deployment. Security Clearance This role is subject to pre employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply and could include meeting the eligibility requirements for the Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Benefits Generous leave with opportunity to accrue up to 12 additional flexi days each year. Pension scheme with up to 15% employer contribution. Free access to mental health support, financial advice, and employee led networks championing inclusion and diversity. Eligibility for a bonus scheme for employees at management level and below. Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Referral programme - receive a financial reward for referring a friend. Flexible benefits up to £500 annually (private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships, etc.). Flexible working hours with hybrid working options.
16/07/2026
Full time
Salary Salary Range: £37,318 - £50,000. Leonardo UK operates a grade based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. About the Role Are you ready to start your career in data engineering and support solutions that underpin secure, high integrity systems and services? At Leonardo UK, our Data Engineer Technicians assist with data workflows, automation, and integration under the guidance of experienced engineers. Your work will see you take the lead in solving customer problems in an agile, innovative, and team centric manner. What You'll Do Assist in designing and building secure, scalable data solutions under guidance, progressing to independent tasks. Develop tools for data driven insights and task automation. Research and train in emerging technologies. Work with cloud platforms and diverse operating systems. Support development and deployment of machine learning models. Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants. Leverage big data technologies and orchestration tools. Document processes and maintain configuration records. Participate in team meetings and knowledge sharing sessions. Requirements & Qualifications Core Areas (must have) Data engineering fundamentals - ETL, pipelines. Programming - Python, SQL. Cloud and orchestration exposure. Documentation and compliance awareness. Collaboration and communication skills. Desirable Degree in STEM, Data, AI or Programming related field. Experience with Docker and APIs. Familiarity with CI/CD practices. Interest in Agile and DevOps practices. Exposure to big data tools (e.g., Spark, Hadoop, NiFi). Understanding of ML algorithms and deployment. Security Clearance This role is subject to pre employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply and could include meeting the eligibility requirements for the Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Benefits Generous leave with opportunity to accrue up to 12 additional flexi days each year. Pension scheme with up to 15% employer contribution. Free access to mental health support, financial advice, and employee led networks championing inclusion and diversity. Eligibility for a bonus scheme for employees at management level and below. Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Referral programme - receive a financial reward for referring a friend. Flexible benefits up to £500 annually (private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships, etc.). Flexible working hours with hybrid working options.
Convergence Group (Wireless) Networks Limited
Solihull, West Midlands
At Convergence Group, we've spent over 20 years quietly powering some of the UK's most complex networks - and now we're growing fast. We're looking for a Full Stack Software Engineer with strong C# skills to help us design and build the next generation of software that powers our business. What it's like here The pace and intensity are higher than most environments in our sector. The workload is typically around 30% greater than many people will have experienced elsewhere -not because we are chaotic, but because we are ambitious and constantly building. We grow organically and through acquisition, continuously integrating, improving and raising the bar. The landscape evolves, priorities shift, and expectations rise. If you prefer a predictable, static environment, this probably won't feel comfortable. If you are energised by growth, movement and high standards, it can be deeply rewarding. Your strengths will have a bigger platform here -and you will be stretched behaviourally more than in most environments. We value respectful honesty: anyone can challenge an idea, hierarchy doesn't protect thinking and getting it right matters more than being right. Ego doesn't perform well here; curiosity, learning and ownership do. We hire people who are already strong at their craft -the stretch at Convergence Group is navigating pace, complexity and constant evolution. This environment isn't for everyone, but for the right person it offers an exceptional opportunity for impact, growth and accelerated development. What you'll be doing as our Software Engineer Design intuitive front-end experiences and robust back-end logic with seamless client-server integration. Implement new features using frameworks, databases and API integration and management. Ensure software quality with unit, integration, and automated testing. Collaborate in Agile environments (e.g. Scrum or Kanban) - participating in standups, sprint planning, and delivery. Troubleshoot, debug, and resolve application issues. Engage in code reviews and QAT to maintain standards, knowledge sharing, and continuous learning. Drive improvements across the SDLC: tools, pipelines, architecture, and documentation. What we're looking for A minimum of 5 years' experience of C# Experience working knowledge of Azure cloud services and SQL databases. A solid grasp of CI/CD pipelines and automated testing frameworks. Comfort with Agile methodologies (Scrum or Kanban) and working in fast-moving teams. Effective communicator who can translate complex technical ideas to both developers and stakeholders. Excellent attention to detail. Experience in producing & consuming technical documentation e.g user stories, database schemas, system guides. Bonus points for experience with IT service management tools like ServiceNow or working within a fast-paced SME environment. What you'll get Time off: 33 days holiday, including bank holidays (and yes, it gets better). Benefits: Private Medical, enhanced Pension, Income Protection & Life Assurance. Work-life balance: flexible core hours + hybrid working with 3 days a week in the Solihull office. Dog friendly office - yes really! Who are Convergence Group? At Convergence Group, we break free from corporate red tape as a privately-owned company, driving bold innovation without the constraints of private equity or external bankers. Experts in Wan, Lan, WiFi and Security solutions we stand out by revolutionising infrastructure management - making it seamless so our customers can focus on what matters most. With rapid growth ahead, we need exceptional talent who bring the right skills, attitude, and drive to shape the future with us. Where A-Players Come to Make a Difference If you're a C# Software Engineer who thrives on tackling complex systems, writing clean, maintainable code, and collaborating with a smart, high-performing team, we want to hear from you. Join us and take ownership of solutions that shape the future of connectivity, in an environment where your skills, curiosity, and drive will be stretched -and rewarded. Apply now to make an impact and grow your career with Convergence Group. Software Engineer £55,000 to £65,000 per year plus additional benefits
16/07/2026
Full time
At Convergence Group, we've spent over 20 years quietly powering some of the UK's most complex networks - and now we're growing fast. We're looking for a Full Stack Software Engineer with strong C# skills to help us design and build the next generation of software that powers our business. What it's like here The pace and intensity are higher than most environments in our sector. The workload is typically around 30% greater than many people will have experienced elsewhere -not because we are chaotic, but because we are ambitious and constantly building. We grow organically and through acquisition, continuously integrating, improving and raising the bar. The landscape evolves, priorities shift, and expectations rise. If you prefer a predictable, static environment, this probably won't feel comfortable. If you are energised by growth, movement and high standards, it can be deeply rewarding. Your strengths will have a bigger platform here -and you will be stretched behaviourally more than in most environments. We value respectful honesty: anyone can challenge an idea, hierarchy doesn't protect thinking and getting it right matters more than being right. Ego doesn't perform well here; curiosity, learning and ownership do. We hire people who are already strong at their craft -the stretch at Convergence Group is navigating pace, complexity and constant evolution. This environment isn't for everyone, but for the right person it offers an exceptional opportunity for impact, growth and accelerated development. What you'll be doing as our Software Engineer Design intuitive front-end experiences and robust back-end logic with seamless client-server integration. Implement new features using frameworks, databases and API integration and management. Ensure software quality with unit, integration, and automated testing. Collaborate in Agile environments (e.g. Scrum or Kanban) - participating in standups, sprint planning, and delivery. Troubleshoot, debug, and resolve application issues. Engage in code reviews and QAT to maintain standards, knowledge sharing, and continuous learning. Drive improvements across the SDLC: tools, pipelines, architecture, and documentation. What we're looking for A minimum of 5 years' experience of C# Experience working knowledge of Azure cloud services and SQL databases. A solid grasp of CI/CD pipelines and automated testing frameworks. Comfort with Agile methodologies (Scrum or Kanban) and working in fast-moving teams. Effective communicator who can translate complex technical ideas to both developers and stakeholders. Excellent attention to detail. Experience in producing & consuming technical documentation e.g user stories, database schemas, system guides. Bonus points for experience with IT service management tools like ServiceNow or working within a fast-paced SME environment. What you'll get Time off: 33 days holiday, including bank holidays (and yes, it gets better). Benefits: Private Medical, enhanced Pension, Income Protection & Life Assurance. Work-life balance: flexible core hours + hybrid working with 3 days a week in the Solihull office. Dog friendly office - yes really! Who are Convergence Group? At Convergence Group, we break free from corporate red tape as a privately-owned company, driving bold innovation without the constraints of private equity or external bankers. Experts in Wan, Lan, WiFi and Security solutions we stand out by revolutionising infrastructure management - making it seamless so our customers can focus on what matters most. With rapid growth ahead, we need exceptional talent who bring the right skills, attitude, and drive to shape the future with us. Where A-Players Come to Make a Difference If you're a C# Software Engineer who thrives on tackling complex systems, writing clean, maintainable code, and collaborating with a smart, high-performing team, we want to hear from you. Join us and take ownership of solutions that shape the future of connectivity, in an environment where your skills, curiosity, and drive will be stretched -and rewarded. Apply now to make an impact and grow your career with Convergence Group. Software Engineer £55,000 to £65,000 per year plus additional benefits
Overview Shaping a smarter, more agile world! AtkinsRéalis is growing its Solution Design team and is looking for Data Architects who are curious, who want to become part of our customers' digital journey and who want to have a voice in shaping our future digital world. Is this you? We are looking to expand our multi disciplinary team with people from diverse backgrounds who bring data architecture expertise to the digital transformation of our stakeholders' technology landscapes and ways of working. You may currently be a data architect, data engineer, analytics consultant, solution architect or enterprise architect seeking a new challenge. We welcome applications from creative, adaptable systems thinkers who are passionate about designing data centric solutions, shaping future information capabilities, and expanding your own career potential along the way. When it comes to living your life, we want your role with AtkinsRéalis to be a key part of your personal journey. We have a collaborative inclusive team culture where people will help, guide and mentor you to help you grow. We pitch in and help colleagues because we succeed as a team. Our flexible and remote working policies are designed to support different personal priorities and needs. This role is within the Secure Government business unit which has an excellent record in consultancy and delivery to a wide range of clients, which includes some of the largest public and private sector organisations in the UK, particularly in defence, security and government markets. We are looking for Data Architects at various levels to enhance our team and technology solutions capability. To succeed, our customers require expert advisors who listen and advise clearly demonstrating their deep experience and mature methods. You will be responsible for the definition of data architectures, data models, data flows, options and solutions to meet strategic business and information objectives. You will ensure these designs are robust, sustainable and fit for purpose for current and future data needs. Your role As a Data Architect, you will be responsible for the design, development and communication of data centric solutions that support our clients' business strategies. Leading and/or supporting initiatives, you will introduce data visions and architectures within the wider Enterprise Architecture Framework. Your responsibilities will include: Defining enterprise and solution level data architectures in complex, mixed technology environments. Designing conceptual, logical and physical data models that support strategic outcomes. Leading data discovery, profiling and requirements analysis activities. Developing data standards, governance models, metadata frameworks and master data strategies. Designing data pipelines, integrations and data flows across systems and domains. Balancing technology, security and business needs to deliver effective data solutions. Producing data architecture artefacts in line with business strategies and appropriate frameworks. Supporting data driven digital transformation and enabling modern analytical capabilities. About you A degree in a science, computing or engineering subject, or equivalent experience. Proven experience as a Data Architect, Data Engineer, Analytics Consultant or similar role. Experience with data architecture frameworks and modelling techniques (e.g., DAMA, DCAM, TOGAF). Strong understanding of conceptual, logical and physical data modelling and associated tools (e.g., ERwin, Sparx EA, ArchiMate, UML). Experience designing enterprise data flows, integrations and data pipelines. In depth understanding of data management principles including data quality, metadata, master data and reference data. Experience gathering and analysing data and system requirements in complex environments. Broad understanding of modern data technology domains, including: Cloud data platforms (Azure, AWS, GCP). Data lakes, warehouses and lakehouse architectures. ETL/ELT processes and tooling. Streaming and event driven architectures. API led integration and data virtualisation. Understanding of data security by design, privacy, compliance and governance aligned to government and industry standards. Familiarity with contemporary analytical and digital services (e.g., AI/ML, BI, automation). Appreciation of emerging technologies such as IoT data processing, edge analytics and automation where appropriate. Industry Experience Experience working within Local Government, Regulated Industries, Defence or Security and Intelligence markets is beneficial. Appreciation and/or experience of different delivery methods such as Agile, SAFe, Scrum and their approaches such as scrums, backlogs. The Individual Excellent stakeholder management with focus on nurturing & developing strong relationships. Strong consulting skills, knowledge of a variety of techniques and methods to capture, elaborate and understand client challenges (structured thinking, effective report writing and presentations, and strong stakeholder engagement). Good negotiation, communication and relationship building skills; able to influence business decisions and formulate positive relationships with customers, strategic partners and colleges. A high-level of self initiation, organisation and enthusiasm. Motivated to drive the design and delivery of solutions that realise the outcomes for the client's needs. Excellent oral and written communication skills with the ability to influence effectively across multiple media. Personable team player, able to work under guidance and own initiative, adding expertise and value to project deliverables. Proven analytical and problem solving skills. A strong interest and appreciation of technology trends and government IT strategy such as, Cloud, Internet of Things, Cyber Security, Big Data and digital service design and delivery. Rewards & benefits Explore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Be rewarded. Find out more. About AtkinsRéalis We're AtkinsRéalis, a world class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability.
12/07/2026
Full time
Overview Shaping a smarter, more agile world! AtkinsRéalis is growing its Solution Design team and is looking for Data Architects who are curious, who want to become part of our customers' digital journey and who want to have a voice in shaping our future digital world. Is this you? We are looking to expand our multi disciplinary team with people from diverse backgrounds who bring data architecture expertise to the digital transformation of our stakeholders' technology landscapes and ways of working. You may currently be a data architect, data engineer, analytics consultant, solution architect or enterprise architect seeking a new challenge. We welcome applications from creative, adaptable systems thinkers who are passionate about designing data centric solutions, shaping future information capabilities, and expanding your own career potential along the way. When it comes to living your life, we want your role with AtkinsRéalis to be a key part of your personal journey. We have a collaborative inclusive team culture where people will help, guide and mentor you to help you grow. We pitch in and help colleagues because we succeed as a team. Our flexible and remote working policies are designed to support different personal priorities and needs. This role is within the Secure Government business unit which has an excellent record in consultancy and delivery to a wide range of clients, which includes some of the largest public and private sector organisations in the UK, particularly in defence, security and government markets. We are looking for Data Architects at various levels to enhance our team and technology solutions capability. To succeed, our customers require expert advisors who listen and advise clearly demonstrating their deep experience and mature methods. You will be responsible for the definition of data architectures, data models, data flows, options and solutions to meet strategic business and information objectives. You will ensure these designs are robust, sustainable and fit for purpose for current and future data needs. Your role As a Data Architect, you will be responsible for the design, development and communication of data centric solutions that support our clients' business strategies. Leading and/or supporting initiatives, you will introduce data visions and architectures within the wider Enterprise Architecture Framework. Your responsibilities will include: Defining enterprise and solution level data architectures in complex, mixed technology environments. Designing conceptual, logical and physical data models that support strategic outcomes. Leading data discovery, profiling and requirements analysis activities. Developing data standards, governance models, metadata frameworks and master data strategies. Designing data pipelines, integrations and data flows across systems and domains. Balancing technology, security and business needs to deliver effective data solutions. Producing data architecture artefacts in line with business strategies and appropriate frameworks. Supporting data driven digital transformation and enabling modern analytical capabilities. About you A degree in a science, computing or engineering subject, or equivalent experience. Proven experience as a Data Architect, Data Engineer, Analytics Consultant or similar role. Experience with data architecture frameworks and modelling techniques (e.g., DAMA, DCAM, TOGAF). Strong understanding of conceptual, logical and physical data modelling and associated tools (e.g., ERwin, Sparx EA, ArchiMate, UML). Experience designing enterprise data flows, integrations and data pipelines. In depth understanding of data management principles including data quality, metadata, master data and reference data. Experience gathering and analysing data and system requirements in complex environments. Broad understanding of modern data technology domains, including: Cloud data platforms (Azure, AWS, GCP). Data lakes, warehouses and lakehouse architectures. ETL/ELT processes and tooling. Streaming and event driven architectures. API led integration and data virtualisation. Understanding of data security by design, privacy, compliance and governance aligned to government and industry standards. Familiarity with contemporary analytical and digital services (e.g., AI/ML, BI, automation). Appreciation of emerging technologies such as IoT data processing, edge analytics and automation where appropriate. Industry Experience Experience working within Local Government, Regulated Industries, Defence or Security and Intelligence markets is beneficial. Appreciation and/or experience of different delivery methods such as Agile, SAFe, Scrum and their approaches such as scrums, backlogs. The Individual Excellent stakeholder management with focus on nurturing & developing strong relationships. Strong consulting skills, knowledge of a variety of techniques and methods to capture, elaborate and understand client challenges (structured thinking, effective report writing and presentations, and strong stakeholder engagement). Good negotiation, communication and relationship building skills; able to influence business decisions and formulate positive relationships with customers, strategic partners and colleges. A high-level of self initiation, organisation and enthusiasm. Motivated to drive the design and delivery of solutions that realise the outcomes for the client's needs. Excellent oral and written communication skills with the ability to influence effectively across multiple media. Personable team player, able to work under guidance and own initiative, adding expertise and value to project deliverables. Proven analytical and problem solving skills. A strong interest and appreciation of technology trends and government IT strategy such as, Cloud, Internet of Things, Cyber Security, Big Data and digital service design and delivery. Rewards & benefits Explore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Be rewarded. Find out more. About AtkinsRéalis We're AtkinsRéalis, a world class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability.
Methods Business and Digital Technology
Worcester, Worcestershire
Senior Data Engineer - Methods Business and Digital Technology Limited This role will include some work on client sites and frequent visits to our main offices in London. We are seeking a seasoned Senior Data Engineer to join our team. This role is essential for designing, building, and maintaining sophisticated data infrastructure systems that operate across both on-premises and Azure cloud environments. Responsibilities Deploy and manage scalable data operations that support advanced analytics and data driven decision making, crucial for our organisational growth and innovation. Requirements Develop and manage data pipelines using Python/Go/Azure Data Factory, capable of supporting both streaming and batch data processing across structured, semi structured, and unstructured data in on premises and Azure environments. Implement and manage data storage solutions leveraging both on premises infrastructure and Azure, ensuring seamless data integration and accessibility across platforms. Employ tools such as Azure Data Factory to automate data flows and manage complex workflows within hybrid environments. Utilise event driven technologies such as Kafka and NATS to handle real time data streams effectively. Manage security setups and access controls, incorporating tools like Keycloak to protect data integrity and comply with legal standards across all data platforms. Design and develop PostgreSQL databases, ensuring high performance and availability across diverse deployment scenarios. Essential Skills and Experience Strong Python skills for scripting and automating data processes across varied environments. Demonstrable experience in developing and optimising ETL or ELT workflows, particularly in hybrid (on premises and Azure) environments. Practical experience with Azure Data Factory in environments. Proven ability in managing and deploying event streaming platforms like Kafka and NATS. Experience with implementing security practices and tools, including Keycloak, across multiple platforms. Strong background in managing Elasticsearch and PostgreSQL in environments that span on premises and cloud infrastructures. Desirable Skills and Experience Certifications in Azure and other relevant technologies are highly beneficial and will strengthen your application. A minimum of 5 years of experience in data engineering, with significant exposure to managing infrastructure in both on premises and cloud settings. Some DevOps engineering experience would be preferable. This role will require you to hold Active SC, with the willingness to progress to DV. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Benefits Autonomy to develop and grow your skills and experience. Be part of exciting project work that is making a difference in society. Strong, inspiring and thought provoking leadership. A supportive and collaborative environment. Development - access to LinkedIn Learning, a management development programme, and training. Wellness - 24/7 confidential employee assistance programme. Flexible Working - including home working and part time. Social - office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes. Time Off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year. Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation. Pension - Salary Exchange Scheme with 4% employer contribution and 5% employee contribution. Life Assurance - of 4 times base salary. Private Medical Insurance - which is non contributory (spouse and dependents included). Worldwide Travel Insurance - which is non contributory (spouse and dependents included). Enhanced Maternity and Paternity Pay. Travel - season ticket loan, cycle to work scheme.
11/07/2026
Full time
Senior Data Engineer - Methods Business and Digital Technology Limited This role will include some work on client sites and frequent visits to our main offices in London. We are seeking a seasoned Senior Data Engineer to join our team. This role is essential for designing, building, and maintaining sophisticated data infrastructure systems that operate across both on-premises and Azure cloud environments. Responsibilities Deploy and manage scalable data operations that support advanced analytics and data driven decision making, crucial for our organisational growth and innovation. Requirements Develop and manage data pipelines using Python/Go/Azure Data Factory, capable of supporting both streaming and batch data processing across structured, semi structured, and unstructured data in on premises and Azure environments. Implement and manage data storage solutions leveraging both on premises infrastructure and Azure, ensuring seamless data integration and accessibility across platforms. Employ tools such as Azure Data Factory to automate data flows and manage complex workflows within hybrid environments. Utilise event driven technologies such as Kafka and NATS to handle real time data streams effectively. Manage security setups and access controls, incorporating tools like Keycloak to protect data integrity and comply with legal standards across all data platforms. Design and develop PostgreSQL databases, ensuring high performance and availability across diverse deployment scenarios. Essential Skills and Experience Strong Python skills for scripting and automating data processes across varied environments. Demonstrable experience in developing and optimising ETL or ELT workflows, particularly in hybrid (on premises and Azure) environments. Practical experience with Azure Data Factory in environments. Proven ability in managing and deploying event streaming platforms like Kafka and NATS. Experience with implementing security practices and tools, including Keycloak, across multiple platforms. Strong background in managing Elasticsearch and PostgreSQL in environments that span on premises and cloud infrastructures. Desirable Skills and Experience Certifications in Azure and other relevant technologies are highly beneficial and will strengthen your application. A minimum of 5 years of experience in data engineering, with significant exposure to managing infrastructure in both on premises and cloud settings. Some DevOps engineering experience would be preferable. This role will require you to hold Active SC, with the willingness to progress to DV. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Benefits Autonomy to develop and grow your skills and experience. Be part of exciting project work that is making a difference in society. Strong, inspiring and thought provoking leadership. A supportive and collaborative environment. Development - access to LinkedIn Learning, a management development programme, and training. Wellness - 24/7 confidential employee assistance programme. Flexible Working - including home working and part time. Social - office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes. Time Off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year. Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation. Pension - Salary Exchange Scheme with 4% employer contribution and 5% employee contribution. Life Assurance - of 4 times base salary. Private Medical Insurance - which is non contributory (spouse and dependents included). Worldwide Travel Insurance - which is non contributory (spouse and dependents included). Enhanced Maternity and Paternity Pay. Travel - season ticket loan, cycle to work scheme.
Senior Data Engineer - Methods Business and Digital Technology Limited This role will include some work on client sites and frequent visits to our main offices in London. We are seeking a seasoned Senior Data Engineer to join our team. This role is essential for designing, building, and maintaining sophisticated data infrastructure systems that operate across both on-premises and Azure cloud environments. Responsibilities Deploy and manage scalable data operations that support advanced analytics and data driven decision making, crucial for our organisational growth and innovation. Requirements Develop and manage data pipelines using Python/Go/Azure Data Factory, capable of supporting both streaming and batch data processing across structured, semi structured, and unstructured data in on premises and Azure environments. Implement and manage data storage solutions leveraging both on premises infrastructure and Azure, ensuring seamless data integration and accessibility across platforms. Employ tools such as Azure Data Factory to automate data flows and manage complex workflows within hybrid environments. Utilise event driven technologies such as Kafka and NATS to handle real time data streams effectively. Manage security setups and access controls, incorporating tools like Keycloak to protect data integrity and comply with legal standards across all data platforms. Design and develop PostgreSQL databases, ensuring high performance and availability across diverse deployment scenarios. Essential Skills and Experience Strong Python skills for scripting and automating data processes across varied environments. Demonstrable experience in developing and optimising ETL or ELT workflows, particularly in hybrid (on premises and Azure) environments. Practical experience with Azure Data Factory in environments. Proven ability in managing and deploying event streaming platforms like Kafka and NATS. Experience with implementing security practices and tools, including Keycloak, across multiple platforms. Strong background in managing Elasticsearch and PostgreSQL in environments that span on premises and cloud infrastructures. Desirable Skills and Experience Certifications in Azure and other relevant technologies are highly beneficial and will strengthen your application. A minimum of 5 years of experience in data engineering, with significant exposure to managing infrastructure in both on premises and cloud settings. Some DevOps engineering experience would be preferable. This role will require you to hold Active SC, with the willingness to progress to DV. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Benefits Autonomy to develop and grow your skills and experience. Be part of exciting project work that is making a difference in society. Strong, inspiring and thought provoking leadership. A supportive and collaborative environment. Development - access to LinkedIn Learning, a management development programme, and training. Wellness - 24/7 confidential employee assistance programme. Flexible Working - including home working and part time. Social - office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes. Time Off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year. Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation. Pension - Salary Exchange Scheme with 4% employer contribution and 5% employee contribution. Life Assurance - of 4 times base salary. Private Medical Insurance - which is non contributory (spouse and dependents included). Worldwide Travel Insurance - which is non contributory (spouse and dependents included). Enhanced Maternity and Paternity Pay. Travel - season ticket loan, cycle to work scheme.
10/07/2026
Full time
Senior Data Engineer - Methods Business and Digital Technology Limited This role will include some work on client sites and frequent visits to our main offices in London. We are seeking a seasoned Senior Data Engineer to join our team. This role is essential for designing, building, and maintaining sophisticated data infrastructure systems that operate across both on-premises and Azure cloud environments. Responsibilities Deploy and manage scalable data operations that support advanced analytics and data driven decision making, crucial for our organisational growth and innovation. Requirements Develop and manage data pipelines using Python/Go/Azure Data Factory, capable of supporting both streaming and batch data processing across structured, semi structured, and unstructured data in on premises and Azure environments. Implement and manage data storage solutions leveraging both on premises infrastructure and Azure, ensuring seamless data integration and accessibility across platforms. Employ tools such as Azure Data Factory to automate data flows and manage complex workflows within hybrid environments. Utilise event driven technologies such as Kafka and NATS to handle real time data streams effectively. Manage security setups and access controls, incorporating tools like Keycloak to protect data integrity and comply with legal standards across all data platforms. Design and develop PostgreSQL databases, ensuring high performance and availability across diverse deployment scenarios. Essential Skills and Experience Strong Python skills for scripting and automating data processes across varied environments. Demonstrable experience in developing and optimising ETL or ELT workflows, particularly in hybrid (on premises and Azure) environments. Practical experience with Azure Data Factory in environments. Proven ability in managing and deploying event streaming platforms like Kafka and NATS. Experience with implementing security practices and tools, including Keycloak, across multiple platforms. Strong background in managing Elasticsearch and PostgreSQL in environments that span on premises and cloud infrastructures. Desirable Skills and Experience Certifications in Azure and other relevant technologies are highly beneficial and will strengthen your application. A minimum of 5 years of experience in data engineering, with significant exposure to managing infrastructure in both on premises and cloud settings. Some DevOps engineering experience would be preferable. This role will require you to hold Active SC, with the willingness to progress to DV. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Benefits Autonomy to develop and grow your skills and experience. Be part of exciting project work that is making a difference in society. Strong, inspiring and thought provoking leadership. A supportive and collaborative environment. Development - access to LinkedIn Learning, a management development programme, and training. Wellness - 24/7 confidential employee assistance programme. Flexible Working - including home working and part time. Social - office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes. Time Off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year. Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation. Pension - Salary Exchange Scheme with 4% employer contribution and 5% employee contribution. Life Assurance - of 4 times base salary. Private Medical Insurance - which is non contributory (spouse and dependents included). Worldwide Travel Insurance - which is non contributory (spouse and dependents included). Enhanced Maternity and Paternity Pay. Travel - season ticket loan, cycle to work scheme.
Chubb is looking for a Senior AI Engineer to lead the design, development, and deployment of advanced generative AI solutions that improve how we operate across the insurance lifecycle - from underwriting and claims to customer service and risk assessment. This role sits at the intersection of software engineering, applied AI, and technical leadership, turning the latest LLM capabilities into reliable, production-grade systems built on our Azure and Databricks platform. As a senior member of the team, you will not only build high-quality AI solutions, but also help shape technical direction, guide architecture decisions, mentor other engineers, and influence how AI capabilities are delivered across the organization. Key Responsibilities: Lead the design and build of end-to-end generative AI applications using LangGraph, including agentic workflows, RAG pipelines, and LLM-integrated services. Define and drive architecture for scalable, secure, reliable, and maintainable AI solutions deployed in production. Develop robust, well-tested backend APIs with FastAPI, containerized via Docker and deployed on Kubernetes. Architect and own search and retrieval solutions using Azure AI Search and MongoDB, including design of indexing strategies, hybrid search configurations, and retrieval evaluation. Work within our Azure cloud environment, integrating with Azure OpenAI, Azure services, and our broader data platform. Collaborate with product managers, data scientists, engineers, and other stakeholders to scope and deliver AI features that address real insurance business problems. Own the full software lifecycle, including design, code review, testing, deployment, monitoring, and production support. Translate complex business requirements into well-scoped technical solutions with a strong focus on reliability, maintainability, failure modes, and operational excellence. Mentor and support junior engineers through design reviews, code reviews, and technical guidance. Contribute to technical standards, best practices, and reusable patterns for AI engineering across the team. Evaluate and improve model quality, retrieval strategies, prompt and agent design, and production performance over time. Partner with business and technical leaders to shape AI roadmaps and identify high-impact opportunities for automation and decision support. Qualifications Desired Qualifications: 6+ years of software engineering experience, with strong fundamentals in system design, data structures, and clean code practices. Proven experience designing and shipping production-grade AI or ML-enabled software systems. Strong proficiency in Python, including building and shipping production backend services. Hands on experience building applications with LLMs such as Azure OpenAI, OpenAI, Anthropic, or similar. Experience with FastAPI or comparable Python web frameworks. Production experience with Docker and Kubernetes, including deployment and management on AKS. Strong hands on experience with Azure, including Azure OpenAI, Azure AI Search, AKS, and Databricks. Proven production experience with LangGraph and LangChain, including multi step agentic workflows and tool calling agents. Hands on experience with Azure AI Search or other vector/hybrid search solutions, including vector search, hybrid search, and retrieval evaluation. Experience with Databricks and PySpark for large scale data processing. Experience designing evaluation frameworks for LLM systems, including offline metrics, hallucination detection, and production monitoring. Experience implementing responsible AI practices in a regulated environment, including audit trails, confidence scoring, and human in the loop controls. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other NoSQL database experience is preferred. Prior exposure to insurance domain concepts such as underwriting, claims, and policy administration is preferred. Experience mentoring engineers, leading technical discussions, and influencing architecture decisions. Preferred Attributes: Strong problem solving skills and the ability to work through ambiguity. Ability to balance speed of delivery with engineering quality and long term maintainability. Strong communication skills and the ability to explain technical concepts to both technical and non technical stakeholders. A proactive mindset with ownership of outcomes and continuous improvement. Interest in emerging AI technologies and practical application of LLMs in enterprise environments. What Success Looks Like: You lead the delivery of high impact AI solutions that are reliable, scalable, and production ready. You help the team make better technical decisions through strong architecture and engineering judgment. You raise the quality bar through mentoring, code reviews, and engineering best practices. You contribute to a stronger AI engineering capability across the organization. Join Chubb as a Senior AI Engineer and play a key role in shaping the future of intelligent, scalable, and enterprise ready AI solutions that create real impact across the insurance lifecycle. We offer in return! Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Integrity. client focus. respect. excellence. teamwork Our core values dictate how we live and work. We're an ethical and honest company that's wholly committed to its clients. A business that's engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that's collaborative and supportive. Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know. Job Info Job Identification 34586 Job Schedule Full time Regular or Temporary Regular Job Category Analytics Engineering Business Unit United Kingdom Legal Employer Chubb European Group SE UK Branch
10/07/2026
Full time
Chubb is looking for a Senior AI Engineer to lead the design, development, and deployment of advanced generative AI solutions that improve how we operate across the insurance lifecycle - from underwriting and claims to customer service and risk assessment. This role sits at the intersection of software engineering, applied AI, and technical leadership, turning the latest LLM capabilities into reliable, production-grade systems built on our Azure and Databricks platform. As a senior member of the team, you will not only build high-quality AI solutions, but also help shape technical direction, guide architecture decisions, mentor other engineers, and influence how AI capabilities are delivered across the organization. Key Responsibilities: Lead the design and build of end-to-end generative AI applications using LangGraph, including agentic workflows, RAG pipelines, and LLM-integrated services. Define and drive architecture for scalable, secure, reliable, and maintainable AI solutions deployed in production. Develop robust, well-tested backend APIs with FastAPI, containerized via Docker and deployed on Kubernetes. Architect and own search and retrieval solutions using Azure AI Search and MongoDB, including design of indexing strategies, hybrid search configurations, and retrieval evaluation. Work within our Azure cloud environment, integrating with Azure OpenAI, Azure services, and our broader data platform. Collaborate with product managers, data scientists, engineers, and other stakeholders to scope and deliver AI features that address real insurance business problems. Own the full software lifecycle, including design, code review, testing, deployment, monitoring, and production support. Translate complex business requirements into well-scoped technical solutions with a strong focus on reliability, maintainability, failure modes, and operational excellence. Mentor and support junior engineers through design reviews, code reviews, and technical guidance. Contribute to technical standards, best practices, and reusable patterns for AI engineering across the team. Evaluate and improve model quality, retrieval strategies, prompt and agent design, and production performance over time. Partner with business and technical leaders to shape AI roadmaps and identify high-impact opportunities for automation and decision support. Qualifications Desired Qualifications: 6+ years of software engineering experience, with strong fundamentals in system design, data structures, and clean code practices. Proven experience designing and shipping production-grade AI or ML-enabled software systems. Strong proficiency in Python, including building and shipping production backend services. Hands on experience building applications with LLMs such as Azure OpenAI, OpenAI, Anthropic, or similar. Experience with FastAPI or comparable Python web frameworks. Production experience with Docker and Kubernetes, including deployment and management on AKS. Strong hands on experience with Azure, including Azure OpenAI, Azure AI Search, AKS, and Databricks. Proven production experience with LangGraph and LangChain, including multi step agentic workflows and tool calling agents. Hands on experience with Azure AI Search or other vector/hybrid search solutions, including vector search, hybrid search, and retrieval evaluation. Experience with Databricks and PySpark for large scale data processing. Experience designing evaluation frameworks for LLM systems, including offline metrics, hallucination detection, and production monitoring. Experience implementing responsible AI practices in a regulated environment, including audit trails, confidence scoring, and human in the loop controls. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other NoSQL database experience is preferred. Prior exposure to insurance domain concepts such as underwriting, claims, and policy administration is preferred. Experience mentoring engineers, leading technical discussions, and influencing architecture decisions. Preferred Attributes: Strong problem solving skills and the ability to work through ambiguity. Ability to balance speed of delivery with engineering quality and long term maintainability. Strong communication skills and the ability to explain technical concepts to both technical and non technical stakeholders. A proactive mindset with ownership of outcomes and continuous improvement. Interest in emerging AI technologies and practical application of LLMs in enterprise environments. What Success Looks Like: You lead the delivery of high impact AI solutions that are reliable, scalable, and production ready. You help the team make better technical decisions through strong architecture and engineering judgment. You raise the quality bar through mentoring, code reviews, and engineering best practices. You contribute to a stronger AI engineering capability across the organization. Join Chubb as a Senior AI Engineer and play a key role in shaping the future of intelligent, scalable, and enterprise ready AI solutions that create real impact across the insurance lifecycle. We offer in return! Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Integrity. client focus. respect. excellence. teamwork Our core values dictate how we live and work. We're an ethical and honest company that's wholly committed to its clients. A business that's engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that's collaborative and supportive. Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know. Job Info Job Identification 34586 Job Schedule Full time Regular or Temporary Regular Job Category Analytics Engineering Business Unit United Kingdom Legal Employer Chubb European Group SE UK Branch
Principal Data EngineerApplylocations: GB - Bristol - Coldharbour Lanetime type: Full timeposted on: Posted Todayjob requisition id: R Job Description: Salary Range: £53,269 - £68,000Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your impact At Leonardo, our Principal Data Engineers lead the design and delivery of secure, scalable data solutions that underpin critical defence, government, and commercial operations. As a technical authority and people manager, you'll guide engineering teams through the full data lifecycle-transforming raw data into actionable insight across hybrid and cloud environments. This role blends technical leadership, stakeholder engagement, and team development, offering the opportunity to shape data strategy and capability across multiple programmes. Your work at Leonardo UK will see you take the lead in solving customer problems in an agile, innovative and team-centric manner. The role may involve a blended hybrid working model, with a mixture of working from home and working on site at one of our Leonardo offices to ensure close collaboration with the wider team and with our customers. What you will do as a Principal Data Engineer Provide technical leadership and oversight for data engineering delivery within your team Lead the design, implementation and maintenance of end-to-end data solutions: acquisition, integration, storage, processing, and analysis Implement scalable data solutions using big data architectures and workflow management systems Guide the development of tools for data-driven insights and task automation Continuously test and monitor systems to improve performance and reliability Research and adopt emerging technologies Work with cloud platforms and diverse operating systems Support development and deployment of machine learning models Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants Mentor and coach junior data engineers to build team capability, while managing project tasks across your own and their workloads. Support technology assessments, feasibility studies, and roadmap development Engage with stakeholders and customers, presenting and defending technical solutions Manage a small team of direct reports, providing guidance, mentorship and support for their career development Support the effective operation of the wider team through utilisation tracking, chairing team meetings and resource management What you'll bring Demonstrated leadership in data engineering, with experience managing and mentoring others. Ability to take ownership of engineering delivery and drive team performance. Strong communication and stakeholder engagement skills. A proactive mindset with a commitment to continuous learning and capability development. Proven ability to work across disciplines and collaborate effectively in multi-functional teams. A strategic approach to problem-solving and technical decision-making.Core Areas (must have): Strong Python and SQL skills Experience with ETL flows, data pipelines, and orchestration tools Understanding of database architecture (SQL and NoSQL) Experience with cloud technologies Experience with cloud platforms Experience with CI/CD practices Experience with big data tools e.g. Spark, Hadoop, NiFi Experience managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team workloads Experience supporting ML model deployment and DevOps collaborationDesirable: Degree in STEM, Data, AI, or Programming-related field Awareness of data security best practices Experience with designing data architecture Experience with scaling infrastructure and code, (e.g. Kubernetes) Exposure to Ansible and Terraform Understanding of ML algorithms and deploymentThis is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now!
09/07/2026
Full time
Principal Data EngineerApplylocations: GB - Bristol - Coldharbour Lanetime type: Full timeposted on: Posted Todayjob requisition id: R Job Description: Salary Range: £53,269 - £68,000Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your impact At Leonardo, our Principal Data Engineers lead the design and delivery of secure, scalable data solutions that underpin critical defence, government, and commercial operations. As a technical authority and people manager, you'll guide engineering teams through the full data lifecycle-transforming raw data into actionable insight across hybrid and cloud environments. This role blends technical leadership, stakeholder engagement, and team development, offering the opportunity to shape data strategy and capability across multiple programmes. Your work at Leonardo UK will see you take the lead in solving customer problems in an agile, innovative and team-centric manner. The role may involve a blended hybrid working model, with a mixture of working from home and working on site at one of our Leonardo offices to ensure close collaboration with the wider team and with our customers. What you will do as a Principal Data Engineer Provide technical leadership and oversight for data engineering delivery within your team Lead the design, implementation and maintenance of end-to-end data solutions: acquisition, integration, storage, processing, and analysis Implement scalable data solutions using big data architectures and workflow management systems Guide the development of tools for data-driven insights and task automation Continuously test and monitor systems to improve performance and reliability Research and adopt emerging technologies Work with cloud platforms and diverse operating systems Support development and deployment of machine learning models Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants Mentor and coach junior data engineers to build team capability, while managing project tasks across your own and their workloads. Support technology assessments, feasibility studies, and roadmap development Engage with stakeholders and customers, presenting and defending technical solutions Manage a small team of direct reports, providing guidance, mentorship and support for their career development Support the effective operation of the wider team through utilisation tracking, chairing team meetings and resource management What you'll bring Demonstrated leadership in data engineering, with experience managing and mentoring others. Ability to take ownership of engineering delivery and drive team performance. Strong communication and stakeholder engagement skills. A proactive mindset with a commitment to continuous learning and capability development. Proven ability to work across disciplines and collaborate effectively in multi-functional teams. A strategic approach to problem-solving and technical decision-making.Core Areas (must have): Strong Python and SQL skills Experience with ETL flows, data pipelines, and orchestration tools Understanding of database architecture (SQL and NoSQL) Experience with cloud technologies Experience with cloud platforms Experience with CI/CD practices Experience with big data tools e.g. Spark, Hadoop, NiFi Experience managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team workloads Experience supporting ML model deployment and DevOps collaborationDesirable: Degree in STEM, Data, AI, or Programming-related field Awareness of data security best practices Experience with designing data architecture Experience with scaling infrastructure and code, (e.g. Kubernetes) Exposure to Ansible and Terraform Understanding of ML algorithms and deploymentThis is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now!
