3004 Avanade UK Limited Company is seeking an Azure Data Support Engineer based in London or Newcastle. The successful candidate will support Azure data solutions and manage CI/CD pipelines, ensuring robust performance. This role requires UK Government Security Clearance and offers flexibility with rotational on-call support. You will also conduct root cause analyses and help maintain documentation aligned with ITIL practices. Benefits include working with enterprise-scale Azure solutions and opportunities for professional growth.
27/07/2026
Full time
3004 Avanade UK Limited Company is seeking an Azure Data Support Engineer based in London or Newcastle. The successful candidate will support Azure data solutions and manage CI/CD pipelines, ensuring robust performance. This role requires UK Government Security Clearance and offers flexibility with rotational on-call support. You will also conduct root cause analyses and help maintain documentation aligned with ITIL practices. Benefits include working with enterprise-scale Azure solutions and opportunities for professional growth.
Birmingham, United Kingdom / Brighton, United Kingdom / Bristol, United Kingdom / Cardiff, United Kingdom / Glasgow, United Kingdom / London, United Kingdom / Manchester, United Kingdom / Newcastle Upon Tyne, United Kingdom Location/s: London, Cardiff, Bristol, Brighton, Birmingham, Manchester, Glasgow, Newcastle Relocation supported:Not supported, but internal applications are welcome Hiring manager contact: Sam Ahdab Mott MacDonald is a global engineering, management, and development consultancy with over 20,000 employees across more than 50 countries and 140+ offices. We work across incredible global industries, delivering exciting work that is defining our future and making an important societal impact in the communities we serve. Our people power our performance - we succeed when they do. With countless opportunities to collaborate, learn, and grow, the possibilities for excellence are as varied as every individual. Whether you want to grow as a subject matter expert or broaden your experience with roles across our international community, you're surrounded by global specialists who want to combine their expertise and champion you to be your best. As a proudly employee owned business, we benefit our clients, our communities, and each other, investing in creating the right space for everyone to feel empowered, included, and valued. Whatever your ambition, Mott MacDonald is where people come to be brilliant. Overview of the role: We are looking for a Principal Data Scientist to help shape the design, development and delivery of production grade AI, machine learning and data science solutions across Mott MacDonald. The role will focus on turning complex business, engineering and environmental needs into scalable, reliable data products and AI services. The successful candidate will bring technical experience across generative AI, large language models, retrieval augmented generation, machine learning, computer vision, geospatial data science and MLOps. They will work with multidisciplinary teams to identify valuable use cases, shape solution architecture, develop reliable models and ensure solutions are tested, monitored and improved in live use. The role includes end to end AI and data science delivery; setting standards for model development, evaluation and deployment; building reusable internal AI services; coaching data scientists and engineers; contributing to AI governance; and translating technical opportunities into clear business value for project teams and senior stakeholders. Candidate Specifications: Experience delivering production data science, machine learning or AI in an enterprise environment. Practical experience in Python and modern machine learning frameworks such as PyTorch, TensorFlow or Keras. Practical experience with generative AI, large language models, embedding models, retrieval augmented generation, AI agents, model evaluation and fine tuning techniques. Experience designing and operating end to end MLOps workflows, including model training, deployment, monitoring, automation and continuous improvement. Ability to work across cloud and engineering environments, including tools such as Azure, Kubernetes, Docker, MLflow, GitHub Actions, Terraform or Databricks. Clear communication and stakeholder engagement skills, with the ability to explain complex technical concepts in accessible business language. Experience coaching, mentoring or giving technical guidance to data scientists, machine learning engineers or data professionals Experience applying computer vision, geospatial data science or predictive modelling to engineering, infrastructure, environmental or asset management work. Knowledge of tools and methods such as LangChain, LLM orchestration, agentic tool use, segmentation foundation models, zero/few shot visual understanding Experience developing reusable internal AI platforms, foundation model services or automation capabilities for use by wider teams. Postgraduate qualification or equivalent research experience in data science, engineering, computer science, applied mathematics or a related discipline. Evidence of innovation, publication, award recognition or contribution to data science practice. UK Immigration Mott MacDonald Ltd. are not currently offering sponsorship to candidates under the Skilled Worker visa route in the UK. This decision is as a consequence of the changes made to the Skilled Worker route by the UK Government in April 2024. We continue to welcome applications from candidates who are eligible for alternative immigration routes in the UK, that do not require sponsorship as a Skilled Worker now or in future. At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team, and personal commitments. We offer a hybrid working policy that embraces your well being, flexibility, and trust. Equality, diversity, and inclusion We put equality, diversity, and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they can contribute. Accessibility We want you to perform your best at every stage in the recruitment process. If you are disabled or need any support to enable you to apply or attend an interview, please contact us at and we will talk to you about how we can support you. Financial wellbeing We match employee pension contributions between 4.5% and 7%. Life assurance equal up to 4 x your basic salary, with an option to increase the level of cover to 6 x your salary. Our income protection scheme provides a financial benefit, as well as absence and return to work support due to long term illness or injury. Flexible benefits, including increased life assurance cover, critical illness insurance, payroll saving and will writing. As an independently owned business we share the financial success of the business with all our colleagues in various ways including annual bonus schemes. Employee Ownership Our employee ownership model means no external investors, just us, creating a culture of shared success. Our employees have a stake and a voice in our business, giving them a direct connection to our success through our personal and group performance bonuses. As your career grows, so does your stake, recognising your long term impact and contribution. Your voice matters, with the opportunity to connect directly with senior leadership through formal channels to help shape our future. For our senior roles you will have a direct pathway towards ownership from day one. Health and wellbeing Private medical insurance for all UK colleagues. Health cash plan to support you with every day health costs and treatments. Access to Peppy, providing free support from menopause experts for all UK colleagues. A variety of wellbeing support is available through our comprehensive wellbeing program, including access for you and your family. Ability to flex your salary to opt into a wide range of health benefits, many of which can be extended to your family too. Lifestyle A minimum of 33-35 days holiday each year, inclusive of public holidays and dependent on level, with the ability to buy or sell leave through our flexible benefits programme. 10 days additional paid leave for Armed Forces Reservists and Cadet Force Adult Volunteers. Holiday entitlement increased to a minimum of 35 days after 5 years' service. Variety of employee saving schemes and discounts from high street retailers. Enhanced family and carers leave Enhanced family leave policies, including 26 weeks paid maternity and adoption leave, and two weeks paid paternity/partner leave. Our shared parental leave matches maternity leave meaning we pay up to 24 weeks at full pay. Up to five additional days leave are provided for those with significant caring responsibilities, two of which are paid. We offer policies and dedicated support to help military families balance service life with career and wellbeing. Learning and development Primary annual professional institution subscription. A broad range of opportunities to enhance both technical and soft skills through mentoring, formal training, and self development options. Networks, communities, and social outcomes Join a wide range of groups including our Advanced Employee Networks which support our LGBTQ+, gender, race and ethnicity, disability, and parents/carers communities. We are proud signatories of the Armed Forces Covenant and Gold Award holders in the MOD Employer Recognition Scheme, supported by our dedicated internal Armed Forces Network.
26/07/2026
Full time
Birmingham, United Kingdom / Brighton, United Kingdom / Bristol, United Kingdom / Cardiff, United Kingdom / Glasgow, United Kingdom / London, United Kingdom / Manchester, United Kingdom / Newcastle Upon Tyne, United Kingdom Location/s: London, Cardiff, Bristol, Brighton, Birmingham, Manchester, Glasgow, Newcastle Relocation supported:Not supported, but internal applications are welcome Hiring manager contact: Sam Ahdab Mott MacDonald is a global engineering, management, and development consultancy with over 20,000 employees across more than 50 countries and 140+ offices. We work across incredible global industries, delivering exciting work that is defining our future and making an important societal impact in the communities we serve. Our people power our performance - we succeed when they do. With countless opportunities to collaborate, learn, and grow, the possibilities for excellence are as varied as every individual. Whether you want to grow as a subject matter expert or broaden your experience with roles across our international community, you're surrounded by global specialists who want to combine their expertise and champion you to be your best. As a proudly employee owned business, we benefit our clients, our communities, and each other, investing in creating the right space for everyone to feel empowered, included, and valued. Whatever your ambition, Mott MacDonald is where people come to be brilliant. Overview of the role: We are looking for a Principal Data Scientist to help shape the design, development and delivery of production grade AI, machine learning and data science solutions across Mott MacDonald. The role will focus on turning complex business, engineering and environmental needs into scalable, reliable data products and AI services. The successful candidate will bring technical experience across generative AI, large language models, retrieval augmented generation, machine learning, computer vision, geospatial data science and MLOps. They will work with multidisciplinary teams to identify valuable use cases, shape solution architecture, develop reliable models and ensure solutions are tested, monitored and improved in live use. The role includes end to end AI and data science delivery; setting standards for model development, evaluation and deployment; building reusable internal AI services; coaching data scientists and engineers; contributing to AI governance; and translating technical opportunities into clear business value for project teams and senior stakeholders. Candidate Specifications: Experience delivering production data science, machine learning or AI in an enterprise environment. Practical experience in Python and modern machine learning frameworks such as PyTorch, TensorFlow or Keras. Practical experience with generative AI, large language models, embedding models, retrieval augmented generation, AI agents, model evaluation and fine tuning techniques. Experience designing and operating end to end MLOps workflows, including model training, deployment, monitoring, automation and continuous improvement. Ability to work across cloud and engineering environments, including tools such as Azure, Kubernetes, Docker, MLflow, GitHub Actions, Terraform or Databricks. Clear communication and stakeholder engagement skills, with the ability to explain complex technical concepts in accessible business language. Experience coaching, mentoring or giving technical guidance to data scientists, machine learning engineers or data professionals Experience applying computer vision, geospatial data science or predictive modelling to engineering, infrastructure, environmental or asset management work. Knowledge of tools and methods such as LangChain, LLM orchestration, agentic tool use, segmentation foundation models, zero/few shot visual understanding Experience developing reusable internal AI platforms, foundation model services or automation capabilities for use by wider teams. Postgraduate qualification or equivalent research experience in data science, engineering, computer science, applied mathematics or a related discipline. Evidence of innovation, publication, award recognition or contribution to data science practice. UK Immigration Mott MacDonald Ltd. are not currently offering sponsorship to candidates under the Skilled Worker visa route in the UK. This decision is as a consequence of the changes made to the Skilled Worker route by the UK Government in April 2024. We continue to welcome applications from candidates who are eligible for alternative immigration routes in the UK, that do not require sponsorship as a Skilled Worker now or in future. At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team, and personal commitments. We offer a hybrid working policy that embraces your well being, flexibility, and trust. Equality, diversity, and inclusion We put equality, diversity, and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they can contribute. Accessibility We want you to perform your best at every stage in the recruitment process. If you are disabled or need any support to enable you to apply or attend an interview, please contact us at and we will talk to you about how we can support you. Financial wellbeing We match employee pension contributions between 4.5% and 7%. Life assurance equal up to 4 x your basic salary, with an option to increase the level of cover to 6 x your salary. Our income protection scheme provides a financial benefit, as well as absence and return to work support due to long term illness or injury. Flexible benefits, including increased life assurance cover, critical illness insurance, payroll saving and will writing. As an independently owned business we share the financial success of the business with all our colleagues in various ways including annual bonus schemes. Employee Ownership Our employee ownership model means no external investors, just us, creating a culture of shared success. Our employees have a stake and a voice in our business, giving them a direct connection to our success through our personal and group performance bonuses. As your career grows, so does your stake, recognising your long term impact and contribution. Your voice matters, with the opportunity to connect directly with senior leadership through formal channels to help shape our future. For our senior roles you will have a direct pathway towards ownership from day one. Health and wellbeing Private medical insurance for all UK colleagues. Health cash plan to support you with every day health costs and treatments. Access to Peppy, providing free support from menopause experts for all UK colleagues. A variety of wellbeing support is available through our comprehensive wellbeing program, including access for you and your family. Ability to flex your salary to opt into a wide range of health benefits, many of which can be extended to your family too. Lifestyle A minimum of 33-35 days holiday each year, inclusive of public holidays and dependent on level, with the ability to buy or sell leave through our flexible benefits programme. 10 days additional paid leave for Armed Forces Reservists and Cadet Force Adult Volunteers. Holiday entitlement increased to a minimum of 35 days after 5 years' service. Variety of employee saving schemes and discounts from high street retailers. Enhanced family and carers leave Enhanced family leave policies, including 26 weeks paid maternity and adoption leave, and two weeks paid paternity/partner leave. Our shared parental leave matches maternity leave meaning we pay up to 24 weeks at full pay. Up to five additional days leave are provided for those with significant caring responsibilities, two of which are paid. We offer policies and dedicated support to help military families balance service life with career and wellbeing. Learning and development Primary annual professional institution subscription. A broad range of opportunities to enhance both technical and soft skills through mentoring, formal training, and self development options. Networks, communities, and social outcomes Join a wide range of groups including our Advanced Employee Networks which support our LGBTQ+, gender, race and ethnicity, disability, and parents/carers communities. We are proud signatories of the Armed Forces Covenant and Gold Award holders in the MOD Employer Recognition Scheme, supported by our dedicated internal Armed Forces Network.
Job Description Data Engineer 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. You'll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. 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 (e.g., 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. Locations Newcastle Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
26/07/2026
Full time
Job Description Data Engineer 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. You'll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. 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 (e.g., 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. Locations Newcastle Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We're technology agnostic, and we're open minded when it comes to your existing skillset. What are we looking for? Good experience with some of the technologies and approaches typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills and a collaborative approach to work. You embrace the chance to try new things, learn new skills and grow your experience. It would be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you'll get in return is: 25 days' annual leave, rising to 30 days with each year of service. Generous family leave policies. Access to an employer pension scheme, private medical services and Group Life Assurance. A range of optional benefits such as discounted gym membership and a cycle-to-work scheme. A meaningful approach to evaluating your performance and providing feedback on your progress. At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you'll find employee-led clubs and events, as well as free games, books, and refreshments. We have shared values that govern our behaviour toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy. We believe diversity drives innovation, and embrace a culture where everyone can contribute, irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.
26/07/2026
Full time
We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We're technology agnostic, and we're open minded when it comes to your existing skillset. What are we looking for? Good experience with some of the technologies and approaches typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills and a collaborative approach to work. You embrace the chance to try new things, learn new skills and grow your experience. It would be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you'll get in return is: 25 days' annual leave, rising to 30 days with each year of service. Generous family leave policies. Access to an employer pension scheme, private medical services and Group Life Assurance. A range of optional benefits such as discounted gym membership and a cycle-to-work scheme. A meaningful approach to evaluating your performance and providing feedback on your progress. At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you'll find employee-led clubs and events, as well as free games, books, and refreshments. We have shared values that govern our behaviour toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy. We believe diversity drives innovation, and embrace a culture where everyone can contribute, irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.
Azure Data Support Engineer Location: Newcastle or London preferred. Job Type: Full-time Permanent (On-Call Requirement) Security Clearance Requirement: This role is suitable for candidates who already hold UK Government Security Clearance (SC), or who are eligible and willing to undergo the SC vetting process (eligibility criteria apply). Key Responsibilities Azure Platform Support & Monitoring Support and maintain Azure-based data solutions, including Azure Data Factory pipelines, datasets, linked services, triggers; Azure Databricks (Spark jobs, notebooks, clusters); Azure Machine Learning models and endpoints; Power BI dashboards and dataset refreshes. Monitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure Monitor, Log Analytics, and custom alerting. DevOps & Automation Maintain CI/CD pipelines using Azure DevOps, GitHub Actions, etc., for ADF, Databricks and ML model deployments. Develop automation scripts in Python, PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse Operations Write, optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments such as Azure Synapse Analytics, SQL Server / Azure SQL DB, Snowflake or BigQuery. Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCA Investigate job failures and performance issues across data pipelines, ML endpoints, and dashboards. Perform root cause analysis and provide short term and long term solutions. Develop and implement self healing automation for recurring failures. Service Operations & Support (Managed Services) Provide L2/L3 support aligned with ITIL practices (incident, problem, change management). Participate in on call rotations and handle critical incident response. Maintain detailed SOPs, runbooks, knowledge base articles, and client documentation. Required Skills and Qualifications Azure Services - Azure Data Factory (pipelines, triggers, parameterization, monitoring); Azure Databricks (Spark, notebooks, job orchestration); Azure Machine Learning (pipelines, model deployment, monitoring); Power BI Service (dataset refreshes, access control, report diagnostics). DevOps & Automation - CI/CD using Azure DevOps, GitHub Actions, YAML pipelines. Scripting - Python, PowerShell. Monitoring - Azure Monitor, Log Analytics, Alerts, Application Insights. SQL & Data Warehousing - SQL skills for debugging, data validation, and optimization; experience with Azure SQL DB or SQL Server; familiarity with data modeling concepts and warehouse performance tuning. Support & Incident Management - Strong troubleshooting and analytical skills for root cause analysis; exposure to ITSM tools such as ServiceNow and Jira. Preferred Qualifications Microsoft Certifications (e.g., DP 900, AZ 900, DP 203). Familiarity with AKS, Docker, or containerized ML environments. Understanding of data governance and security in cloud environments. Experience with AI Foundry, Gen AI, Fabric. Soft Skills Strong verbal and written communication. Good documentation and presentation skills. Ability to handle pressure and prioritize effectively in live support environments. Work Hours & Availability Core business hours: 08:30 - 17:30 with rotational on call support (1 in 4 weeks). Flexibility for off hours/weekend support during critical deployments or outages. Benefits Be part of a high impact team managing enterprise scale Azure solutions. Work on the intersection of data, AI, DevOps, and automation. Opportunities to grow across data engineering, MLOps, and cloud automation. A dynamic, learning focused work environment with cutting edge tools and processes.
26/07/2026
Full time
Azure Data Support Engineer Location: Newcastle or London preferred. Job Type: Full-time Permanent (On-Call Requirement) Security Clearance Requirement: This role is suitable for candidates who already hold UK Government Security Clearance (SC), or who are eligible and willing to undergo the SC vetting process (eligibility criteria apply). Key Responsibilities Azure Platform Support & Monitoring Support and maintain Azure-based data solutions, including Azure Data Factory pipelines, datasets, linked services, triggers; Azure Databricks (Spark jobs, notebooks, clusters); Azure Machine Learning models and endpoints; Power BI dashboards and dataset refreshes. Monitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure Monitor, Log Analytics, and custom alerting. DevOps & Automation Maintain CI/CD pipelines using Azure DevOps, GitHub Actions, etc., for ADF, Databricks and ML model deployments. Develop automation scripts in Python, PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse Operations Write, optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments such as Azure Synapse Analytics, SQL Server / Azure SQL DB, Snowflake or BigQuery. Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCA Investigate job failures and performance issues across data pipelines, ML endpoints, and dashboards. Perform root cause analysis and provide short term and long term solutions. Develop and implement self healing automation for recurring failures. Service Operations & Support (Managed Services) Provide L2/L3 support aligned with ITIL practices (incident, problem, change management). Participate in on call rotations and handle critical incident response. Maintain detailed SOPs, runbooks, knowledge base articles, and client documentation. Required Skills and Qualifications Azure Services - Azure Data Factory (pipelines, triggers, parameterization, monitoring); Azure Databricks (Spark, notebooks, job orchestration); Azure Machine Learning (pipelines, model deployment, monitoring); Power BI Service (dataset refreshes, access control, report diagnostics). DevOps & Automation - CI/CD using Azure DevOps, GitHub Actions, YAML pipelines. Scripting - Python, PowerShell. Monitoring - Azure Monitor, Log Analytics, Alerts, Application Insights. SQL & Data Warehousing - SQL skills for debugging, data validation, and optimization; experience with Azure SQL DB or SQL Server; familiarity with data modeling concepts and warehouse performance tuning. Support & Incident Management - Strong troubleshooting and analytical skills for root cause analysis; exposure to ITSM tools such as ServiceNow and Jira. Preferred Qualifications Microsoft Certifications (e.g., DP 900, AZ 900, DP 203). Familiarity with AKS, Docker, or containerized ML environments. Understanding of data governance and security in cloud environments. Experience with AI Foundry, Gen AI, Fabric. Soft Skills Strong verbal and written communication. Good documentation and presentation skills. Ability to handle pressure and prioritize effectively in live support environments. Work Hours & Availability Core business hours: 08:30 - 17:30 with rotational on call support (1 in 4 weeks). Flexibility for off hours/weekend support during critical deployments or outages. Benefits Be part of a high impact team managing enterprise scale Azure solutions. Work on the intersection of data, AI, DevOps, and automation. Opportunities to grow across data engineering, MLOps, and cloud automation. A dynamic, learning focused work environment with cutting edge tools and processes.
We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We're technology agnostic, and we're open minded when it comes to your existing skillset. What are we looking for? Good experience with some of the technologies and approaches typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills and a collaborative approach to work. You embrace the chance to try new things, learn new skills and grow your experience. It would be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you'll get in return is: 25 days' annual leave, rising to 30 days with each year of service. Generous family leave policies. Access to an employer pension scheme, private medical services and Group Life Assurance. A range of optional benefits such as discounted gym membership and a cycle-to-work scheme. A meaningful approach to evaluating your performance and providing feedback on your progress. At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you'll find employee-led clubs and events, as well as free games, books, and refreshments. We have shared values that govern our behaviour toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy. We believe diversity drives innovation, and embrace a culture where everyone can contribute, irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.
26/07/2026
Full time
We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We're technology agnostic, and we're open minded when it comes to your existing skillset. What are we looking for? Good experience with some of the technologies and approaches typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills and a collaborative approach to work. You embrace the chance to try new things, learn new skills and grow your experience. It would be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you'll get in return is: 25 days' annual leave, rising to 30 days with each year of service. Generous family leave policies. Access to an employer pension scheme, private medical services and Group Life Assurance. A range of optional benefits such as discounted gym membership and a cycle-to-work scheme. A meaningful approach to evaluating your performance and providing feedback on your progress. At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you'll find employee-led clubs and events, as well as free games, books, and refreshments. We have shared values that govern our behaviour toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy. We believe diversity drives innovation, and embrace a culture where everyone can contribute, irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.
We're a global engineering, management, and development consultancy. Our purpose is to improve society by considering social outcomes in everything we do, relentlessly focusing on excellence and digital innovation, transforming our clients' businesses, our communities and employee opportunities. A fundamental part of this is respecting each person's differences and striving to meet their needs. We are proud to be a one of Glassdoor's top employers to work for in the UK, as well as being recognised as a Top Inclusive Company in the UK. About thebusinessunit Mott MacDonald's support services are the driving force behind our organisation enabling us to run efficiently and effectively. The team works collaboratively to offer specialist advice, best practice and technology to all areas of our business specifically designed for our global reach. Overview of role Are you ready to shape the future of our cloud and infrastructure services? Join us as a Cloud Platform Specialist and become a driving force behind our Microsoft Cloud-first strategy, while ensuring seamless integration with our third party cloud platforms supporting a dynamic organisation. Reporting to the Compute & Storage Manager, you'll be a key member of the Compute and Storage Team, advising on standards, strategy, and delivering service improvements across our compute and storage platforms. You'll tackle complex problems, lead transformative projects, and champion operational excellence in a dynamic, collaborative environment. Success in this role requires deep collaboration across infrastructure, service delivery, applications, and security to champion service excellence and drive continuous improvement. You will work closely with cross functional teams to align operational and project activities with strategic goals and ensure a seamless experience for our internal customers. This role is a key contributor to our broader business objectives enhancing operational resilience, enabling digital transformation, and optimising service performance. You will be instrumental in shaping a high performing, customer focused IT function that supports innovation and growth across the organisation. We are committed to building a culture of inclusion, wellbeing, and professional development. As a visible leader, you will foster an environment where people feel empowered, supported, and inspired to deliver their best. Key Responsibilities Contribute to the development and refinement of technical standards and best practices for compute and storage platforms, including Azure and Windows Server. Contribute to and support project delivery, including cloud migrations, infrastructure upgrades, automation initiatives, and service enhancements, ensuring alignment with strategic objectives and operational requirements. Provide operational 4th line support for both cloud and on premise infrastructure, ensuring environments are current, secure, and optimized. Act as a technical escalation point for complex incidents, problems, and changes, driving resolution and continuous improvement. Support identity management and access control (Active Directory, Entra ID, RBAC), ensuring robust authentication and authorization across all platforms. Monitor, analyze, and optimize cost, performance and capacity of compute and storage services, proactively identifying and addressing issues. Participate in and contribute to strategic projects, such as cloud migrations, automation initiatives, and service enhancements. Maintain and update technical documentation, including infrastructure diagrams, solution designs, procedures, and knowledge articles. Collaborate with cross functional teams (infrastructure, applications, security, service delivery) to align operational activities with business goals. Ensure compliance with security policies and audit requirements, supporting regular reviews and implementing necessary controls. Mentor and support operations teams, sharing expertise and fostering a culture of learning and operational excellence. Key Performance Indicators Stakeholder satisfaction with project outcomes Quality of root cause analysis and problem resolution Timely delivery of project milestones and technical change initiatives Quality and accuracy of technical documentation produced Continual service improvements Infrastructure availability and mean time between failures Service continuity test success Candidate Specification Proven experience providing advanced technical support and problem resolution for complex compute and storage environments, including Azure, AD, Entra and on premises Windows Server. Strong technical leadership with the ability to collaborate across teams, drive alignment, and support service excellence in distributed environments. Strategic contributor with a track record of influencing operational planning, transformation initiatives, and continuous service improvement. Skilled in stakeholder engagement and communication, able to advise, negotiate, and manage expectations across all levels of the organization. Demonstrated capability in risk identification, escalation management, and effective decision making under pressure. Commitment to operational maturity and service evolution through data driven insights, innovation, and process optimization. Professional certification in Azure Experience operating within complex, matrixed organisations and managing global teams. Experience with Microsoft cloud cost optimisation Cloud performance engineering (capacity planning, performance tuning) Knowledge of containerisation platforms (e.g. Kubernetes) We are actively recruiting a diverse workforce that is reflective of the communities we serve. We recognise that differences in ability, skills and experience are a strength and encourage applications from people of all backgrounds. UK Immigration Mott MacDonald Ltd. are not currently offering sponsorship to candidates under the Skilled Worker visa route in the UK. This decision is as a consequence of the changes made to the Skilled Worker route by the UK Government in April 2024. We continue to welcome applications from candidates who are eligible for alternative immigration routes in the UK, that do not require sponsorship as a Skilled Worker now or in future. At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team, and personal commitments. We offer a hybrid working policy that embraces your well being, flexibility, and trust. Equality, diversity, and inclusion We put equality, diversity, and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they can contribute. Accessibility We want you to perform your best at every stage in the recruitment process. If you are disabled or need any support to enable you to apply or attend an interview, please contact us at and we will talk to you about how we can support you. Benefits Health and wellbeing Private medical insurance for all UK colleagues. Health cash plan to support you with every day health costs and treatments. Access to Peppy, providing free support from menopause experts for all UK colleagues. A variety of wellbeing support is available through our comprehensive wellbeing program, including access for you and your family. Ability to flex your salary to opt into a wide range of health benefits, many of which can be extended to your family too. Financial wellbeing We match employee pension contributions between 4.5% and 7%. Life assurance equal up to 4 x your basic salary, with an option to increase the level of cover to 6 x your salary. Our income protection scheme provides a financial benefit, as well as absence and return to work support due to long term illness or injury. Flexible benefits, including increased life assurance cover, critical illness insurance, payroll saving and will writing. As an independently owned business we share the financial success of the business with all our colleagues in various ways including annual bonus schemes. Lifestyle A minimum of days holiday each year, inclusive of public holidays and dependent on level, with the ability to buy or sell leave through our flexible benefits programme. Holiday entitlement increased to a minimum of 35 days after 5 years' service. Variety of employee saving schemes and discounts from high street retailers. Enhanced family and carers leave Enhanced family leave policies, including 26 weeks paid maternity and adoption leave, and two weeks paid paternity/partner leave. Our shared parental leave matches maternity leave meaning we pay up to 24 weeks at full pay. Up to five additional days leave are provided for those with significant caring responsibilities, two of which are paid. Learning and development Primary annual professional institution subscription. A broad range of opportunities to enhance both technical and soft skills through mentoring, formal training, and self development options. Networks, communities and social outcomes . click apply for full job details
26/07/2026
Full time
We're a global engineering, management, and development consultancy. Our purpose is to improve society by considering social outcomes in everything we do, relentlessly focusing on excellence and digital innovation, transforming our clients' businesses, our communities and employee opportunities. A fundamental part of this is respecting each person's differences and striving to meet their needs. We are proud to be a one of Glassdoor's top employers to work for in the UK, as well as being recognised as a Top Inclusive Company in the UK. About thebusinessunit Mott MacDonald's support services are the driving force behind our organisation enabling us to run efficiently and effectively. The team works collaboratively to offer specialist advice, best practice and technology to all areas of our business specifically designed for our global reach. Overview of role Are you ready to shape the future of our cloud and infrastructure services? Join us as a Cloud Platform Specialist and become a driving force behind our Microsoft Cloud-first strategy, while ensuring seamless integration with our third party cloud platforms supporting a dynamic organisation. Reporting to the Compute & Storage Manager, you'll be a key member of the Compute and Storage Team, advising on standards, strategy, and delivering service improvements across our compute and storage platforms. You'll tackle complex problems, lead transformative projects, and champion operational excellence in a dynamic, collaborative environment. Success in this role requires deep collaboration across infrastructure, service delivery, applications, and security to champion service excellence and drive continuous improvement. You will work closely with cross functional teams to align operational and project activities with strategic goals and ensure a seamless experience for our internal customers. This role is a key contributor to our broader business objectives enhancing operational resilience, enabling digital transformation, and optimising service performance. You will be instrumental in shaping a high performing, customer focused IT function that supports innovation and growth across the organisation. We are committed to building a culture of inclusion, wellbeing, and professional development. As a visible leader, you will foster an environment where people feel empowered, supported, and inspired to deliver their best. Key Responsibilities Contribute to the development and refinement of technical standards and best practices for compute and storage platforms, including Azure and Windows Server. Contribute to and support project delivery, including cloud migrations, infrastructure upgrades, automation initiatives, and service enhancements, ensuring alignment with strategic objectives and operational requirements. Provide operational 4th line support for both cloud and on premise infrastructure, ensuring environments are current, secure, and optimized. Act as a technical escalation point for complex incidents, problems, and changes, driving resolution and continuous improvement. Support identity management and access control (Active Directory, Entra ID, RBAC), ensuring robust authentication and authorization across all platforms. Monitor, analyze, and optimize cost, performance and capacity of compute and storage services, proactively identifying and addressing issues. Participate in and contribute to strategic projects, such as cloud migrations, automation initiatives, and service enhancements. Maintain and update technical documentation, including infrastructure diagrams, solution designs, procedures, and knowledge articles. Collaborate with cross functional teams (infrastructure, applications, security, service delivery) to align operational activities with business goals. Ensure compliance with security policies and audit requirements, supporting regular reviews and implementing necessary controls. Mentor and support operations teams, sharing expertise and fostering a culture of learning and operational excellence. Key Performance Indicators Stakeholder satisfaction with project outcomes Quality of root cause analysis and problem resolution Timely delivery of project milestones and technical change initiatives Quality and accuracy of technical documentation produced Continual service improvements Infrastructure availability and mean time between failures Service continuity test success Candidate Specification Proven experience providing advanced technical support and problem resolution for complex compute and storage environments, including Azure, AD, Entra and on premises Windows Server. Strong technical leadership with the ability to collaborate across teams, drive alignment, and support service excellence in distributed environments. Strategic contributor with a track record of influencing operational planning, transformation initiatives, and continuous service improvement. Skilled in stakeholder engagement and communication, able to advise, negotiate, and manage expectations across all levels of the organization. Demonstrated capability in risk identification, escalation management, and effective decision making under pressure. Commitment to operational maturity and service evolution through data driven insights, innovation, and process optimization. Professional certification in Azure Experience operating within complex, matrixed organisations and managing global teams. Experience with Microsoft cloud cost optimisation Cloud performance engineering (capacity planning, performance tuning) Knowledge of containerisation platforms (e.g. Kubernetes) We are actively recruiting a diverse workforce that is reflective of the communities we serve. We recognise that differences in ability, skills and experience are a strength and encourage applications from people of all backgrounds. UK Immigration Mott MacDonald Ltd. are not currently offering sponsorship to candidates under the Skilled Worker visa route in the UK. This decision is as a consequence of the changes made to the Skilled Worker route by the UK Government in April 2024. We continue to welcome applications from candidates who are eligible for alternative immigration routes in the UK, that do not require sponsorship as a Skilled Worker now or in future. At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team, and personal commitments. We offer a hybrid working policy that embraces your well being, flexibility, and trust. Equality, diversity, and inclusion We put equality, diversity, and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they can contribute. Accessibility We want you to perform your best at every stage in the recruitment process. If you are disabled or need any support to enable you to apply or attend an interview, please contact us at and we will talk to you about how we can support you. Benefits Health and wellbeing Private medical insurance for all UK colleagues. Health cash plan to support you with every day health costs and treatments. Access to Peppy, providing free support from menopause experts for all UK colleagues. A variety of wellbeing support is available through our comprehensive wellbeing program, including access for you and your family. Ability to flex your salary to opt into a wide range of health benefits, many of which can be extended to your family too. Financial wellbeing We match employee pension contributions between 4.5% and 7%. Life assurance equal up to 4 x your basic salary, with an option to increase the level of cover to 6 x your salary. Our income protection scheme provides a financial benefit, as well as absence and return to work support due to long term illness or injury. Flexible benefits, including increased life assurance cover, critical illness insurance, payroll saving and will writing. As an independently owned business we share the financial success of the business with all our colleagues in various ways including annual bonus schemes. Lifestyle A minimum of days holiday each year, inclusive of public holidays and dependent on level, with the ability to buy or sell leave through our flexible benefits programme. Holiday entitlement increased to a minimum of 35 days after 5 years' service. Variety of employee saving schemes and discounts from high street retailers. Enhanced family and carers leave Enhanced family leave policies, including 26 weeks paid maternity and adoption leave, and two weeks paid paternity/partner leave. Our shared parental leave matches maternity leave meaning we pay up to 24 weeks at full pay. Up to five additional days leave are provided for those with significant caring responsibilities, two of which are paid. Learning and development Primary annual professional institution subscription. A broad range of opportunities to enhance both technical and soft skills through mentoring, formal training, and self development options. Networks, communities and social outcomes . click apply for full job details
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.
3003 Accenture (UK) Limited Company
City, Newcastle Upon Tyne
We are building the next generation of AI native engineering talent who use AI as a core part of how they work, not as an add on. As an AI Engineer (Software), you will design, build, and ship production grade software across the full stack, using AI assisted tooling as standard daily practice alongside your core engineering skills. You will work on real client programs across industries, building production grade software that connects to and supports agentic AI systems - understanding how your full stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. Key Responsibilities Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers Apply AI across the full software delivery lifecycle: AI generated tests, AI assisted debugging, AI accelerated code review, and prompt engineering for development tasks Own the quality of AI generated outputs in your delivery scope, exercise engineering judgment about reliability, limitations, and failure modes; know when AI output is production ready and when it is not Define and track KPIs to evaluate the effectiveness and ROI of AI assisted workflows; present AI productivity and quality metrics to project stakeholders Own delivery end to end - from design through to production support - in Agile sprint cycles alongside client engineering teams Contribute to shared knowledge bases, reusable components, and internal AI tooling standards that benefit the wider team Build and integrate the application layers, APIs, and interfaces that connect full stack systems to agentic backends - understanding data flows, context handoffs, and integration points between your code and AI pipelines Qualifications Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field Commercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects) Proficiency in at least one primary backend language: Python, Java, or TypeScript Demonstrated hands on experience using AI tools actively in day to day engineering work - with practical examples of how AI was used to solve real problems, iterate on outputs, and improve delivery; including direct experience calling LLM APIs in production code with an understanding of token management, latency, and cost tradeoffs Basic understanding of web technologies including JavaScript, HTML, and CSS Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines Understanding of Agile delivery fundamentals Experience with databases - SQL or NoSQL Ability to validate, evaluate, and improve AI generated outputs; understanding of AI limitations and responsible use Familiarity with agentic system concepts - awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full stack applications connect to agent based architecture; production experience preferred, conceptual understanding required Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
25/07/2026
Full time
We are building the next generation of AI native engineering talent who use AI as a core part of how they work, not as an add on. As an AI Engineer (Software), you will design, build, and ship production grade software across the full stack, using AI assisted tooling as standard daily practice alongside your core engineering skills. You will work on real client programs across industries, building production grade software that connects to and supports agentic AI systems - understanding how your full stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. Key Responsibilities Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers Apply AI across the full software delivery lifecycle: AI generated tests, AI assisted debugging, AI accelerated code review, and prompt engineering for development tasks Own the quality of AI generated outputs in your delivery scope, exercise engineering judgment about reliability, limitations, and failure modes; know when AI output is production ready and when it is not Define and track KPIs to evaluate the effectiveness and ROI of AI assisted workflows; present AI productivity and quality metrics to project stakeholders Own delivery end to end - from design through to production support - in Agile sprint cycles alongside client engineering teams Contribute to shared knowledge bases, reusable components, and internal AI tooling standards that benefit the wider team Build and integrate the application layers, APIs, and interfaces that connect full stack systems to agentic backends - understanding data flows, context handoffs, and integration points between your code and AI pipelines Qualifications Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field Commercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects) Proficiency in at least one primary backend language: Python, Java, or TypeScript Demonstrated hands on experience using AI tools actively in day to day engineering work - with practical examples of how AI was used to solve real problems, iterate on outputs, and improve delivery; including direct experience calling LLM APIs in production code with an understanding of token management, latency, and cost tradeoffs Basic understanding of web technologies including JavaScript, HTML, and CSS Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines Understanding of Agile delivery fundamentals Experience with databases - SQL or NoSQL Ability to validate, evaluate, and improve AI generated outputs; understanding of AI limitations and responsible use Familiarity with agentic system concepts - awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full stack applications connect to agent based architecture; production experience preferred, conceptual understanding required Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
The Client We are delighted to be ,once more, recruiting on behalf of our prestigious client, a newly created JV Technology Consulting business formed by global leaders in the fields of management consulting and investment fund management. Based in Newcastle upon Tyne at their enviable facilities, my client seek a Data Engineer for Full-Stack Data Products, to join their elite Tyneside team as part of rapid expansion of the business to cope with client demand and continued excellent performance. About the Role As a Data Engineer you will play a key role in developing, building and maintaining scalable data intensive systems, pipelines and platforms that power analytics, operational systems, and AI-driven products. This role combines full-stack or backend software engineering with modern data engineering, requiring someone with a broad skillset and who excels in solving problems across application development, data pipelines, cloud infrastructure, and platform automation. Key responsibilities include: Software Design : Develop, and maintain production-grade applications and APIs. Application Build : Develop reusable, well-tested code following engineering best practices. Architecture : Participate in architecture and technical design discussions. Testing: Write automated unit, integration, and end-to-end tests. Data Pipeline Development : Design and develop sophisticated data pipelines to import data from internal and external sources and seamlessly integrate into data platforms. Maintenance & Data Reliability : Ensure systems are well-maintained, enabling uninterrupted access to crucial data. Continuously verify data quality and integrity to support decision making. Continuous Improvement & Collaboration : Collaborate with internal and external stakeholders to streamline data accessibility and usability. Drive innovation by adopting advanced analytics technologies and methodologies. Cloud infrastructure : Deploy cloud-native solutions using Infrastructure as Code and collaborate on cloud architecture and optimisation About You To be considered for the role, it is essential that you possess exemplary academic prowess, with a 2:1 or 1st in a relevant subject (e.g. Computing Science, Maths, Physics etc.) from a leading University and accompanying demonstrable experience gained working as a Data Engineering professional. It would be highly advantageous if you possessed experience working in the Financial Services Sector. Key Selection Criteria Expertise in designing and building data intensive applications and pipelines, with an open mindset on choice of tools Strong proficiency in Python and SQL, with a focus on writing clean, performant code to process and manage large volumes of data Experience designing and implementing complex data-matching, reconciliation, and entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform or Kubernetes Experience building scalable backend applications Understanding of distributed systems and software architecture. Ability to test and troubleshoot data products with a track record of improving data reliability and quality Excellent communication skills and the ability to work effectively and openly within a team-based environment Self-motivated, detail-oriented, and eager to learn new technologies and methodologies This is an excellent opportunity to join a leading business that only employs exceptional, collaborative and passionate people. This rapid expansion phase is the ideal time to be joining such a prestigious business.
25/07/2026
Full time
The Client We are delighted to be ,once more, recruiting on behalf of our prestigious client, a newly created JV Technology Consulting business formed by global leaders in the fields of management consulting and investment fund management. Based in Newcastle upon Tyne at their enviable facilities, my client seek a Data Engineer for Full-Stack Data Products, to join their elite Tyneside team as part of rapid expansion of the business to cope with client demand and continued excellent performance. About the Role As a Data Engineer you will play a key role in developing, building and maintaining scalable data intensive systems, pipelines and platforms that power analytics, operational systems, and AI-driven products. This role combines full-stack or backend software engineering with modern data engineering, requiring someone with a broad skillset and who excels in solving problems across application development, data pipelines, cloud infrastructure, and platform automation. Key responsibilities include: Software Design : Develop, and maintain production-grade applications and APIs. Application Build : Develop reusable, well-tested code following engineering best practices. Architecture : Participate in architecture and technical design discussions. Testing: Write automated unit, integration, and end-to-end tests. Data Pipeline Development : Design and develop sophisticated data pipelines to import data from internal and external sources and seamlessly integrate into data platforms. Maintenance & Data Reliability : Ensure systems are well-maintained, enabling uninterrupted access to crucial data. Continuously verify data quality and integrity to support decision making. Continuous Improvement & Collaboration : Collaborate with internal and external stakeholders to streamline data accessibility and usability. Drive innovation by adopting advanced analytics technologies and methodologies. Cloud infrastructure : Deploy cloud-native solutions using Infrastructure as Code and collaborate on cloud architecture and optimisation About You To be considered for the role, it is essential that you possess exemplary academic prowess, with a 2:1 or 1st in a relevant subject (e.g. Computing Science, Maths, Physics etc.) from a leading University and accompanying demonstrable experience gained working as a Data Engineering professional. It would be highly advantageous if you possessed experience working in the Financial Services Sector. Key Selection Criteria Expertise in designing and building data intensive applications and pipelines, with an open mindset on choice of tools Strong proficiency in Python and SQL, with a focus on writing clean, performant code to process and manage large volumes of data Experience designing and implementing complex data-matching, reconciliation, and entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform or Kubernetes Experience building scalable backend applications Understanding of distributed systems and software architecture. Ability to test and troubleshoot data products with a track record of improving data reliability and quality Excellent communication skills and the ability to work effectively and openly within a team-based environment Self-motivated, detail-oriented, and eager to learn new technologies and methodologies This is an excellent opportunity to join a leading business that only employs exceptional, collaborative and passionate people. This rapid expansion phase is the ideal time to be joining such a prestigious business.
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. Overview We're looking for an AI Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows into working, usable features that integrate with the department's existing services. You'll work inside a collaborative "Rainbow Team" alongside civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect. Key Responsibilities Build & Integrate Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department's Legacy and multi-cloud systems. Prompt Engineering & Evaluation Design, test, and iterate on prompts and retrieval strategies; run structured evaluations to track answer quality, retrieval accuracy, and hallucination rate over time. Responsible AI in Practice Implement the specific guardrails and human-in-the-loop checkpoints defined by the leads - this is an execution role, not a policy-setting one. Documentation & Handover Contribute to "Docs-as-Code" artifacts supporting the OKUA knowledge-transfer framework, so the features you build can be understood and maintained by internal government engineers. Required Skills & Experience Practical experience building applications using LLMs or other foundation models, via API or self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks and multi-step AI workflows Comfortable working within secure, regulated environments and handling sensitive data appropriately Desirable Experience Experience delivering digital services within UK central government or the wider public sector Familiarity with GOV.UK Service Standard expectations Exposure to open-source LLM tooling or communities Familiarity with AI/ML tooling on AWS, Azure, or GCP Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance - please flag in your application if you already hold clearance.
24/07/2026
Full time
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. Overview We're looking for an AI Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows into working, usable features that integrate with the department's existing services. You'll work inside a collaborative "Rainbow Team" alongside civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect. Key Responsibilities Build & Integrate Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department's Legacy and multi-cloud systems. Prompt Engineering & Evaluation Design, test, and iterate on prompts and retrieval strategies; run structured evaluations to track answer quality, retrieval accuracy, and hallucination rate over time. Responsible AI in Practice Implement the specific guardrails and human-in-the-loop checkpoints defined by the leads - this is an execution role, not a policy-setting one. Documentation & Handover Contribute to "Docs-as-Code" artifacts supporting the OKUA knowledge-transfer framework, so the features you build can be understood and maintained by internal government engineers. Required Skills & Experience Practical experience building applications using LLMs or other foundation models, via API or self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks and multi-step AI workflows Comfortable working within secure, regulated environments and handling sensitive data appropriately Desirable Experience Experience delivering digital services within UK central government or the wider public sector Familiarity with GOV.UK Service Standard expectations Exposure to open-source LLM tooling or communities Familiarity with AI/ML tooling on AWS, Azure, or GCP Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance - please flag in your application if you already hold clearance.
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments.Our work has positively influenced the lives of over 40 million UK citizens. Overview We're looking for an MLOps Engineer to build the operational backbone that lets models move safely and reliably from experimentation into production, at scale, across a central government department's multi-cloud, Legacy-integrated environment. Where the MLEngineer trains models and the AI Engineer builds features on top of them, you own the pipeline, infrastructure, and monitoring that keeps everything running in production. You'll work inside a collaborative "Rainbow Team" alongside civil servants, translating the Architect's platform decisions into reproducible, auditable infrastructure. Key Responsibilities ML/AI Pipeline Engineering - Design CI/CD pipelines specific to ML/AI workloads, covering data versioning, training, testing, packaging, and deployment. Production Reliability - Implement monitoring, logging, alerting, and automated rollback for AI services in production, tuned for the availability and sensitivity requirements of public-sector systems. Infrastructure-as-Code - Build reproducible, auditable infrastructure for AI workloads - compute, storage, networking - using IaC tooling appropriate to the department's multi-cloud environment. Model Governance in Operation - Implement model registries, versioning, and lineage tracking so every production model can be traced back to its training data, code, and evaluation results - directly supporting the programme's ATRS transparency obligations. Cost & Sustainability Optimisation - Right-size infrastructure and monitor resource usage to keep the platform's footprint down, in line with the programme's Green AI and Net Zero Commitments. Required Skills & Experience - Strong DevOps background extended into ML/AI-specific tooling (model registries, feature stores, experiment tracking) - Infrastructure-as-code and CI/CD pipeline design and build experience - Experience with observability and monitoring for production systems at scale - Understanding of containerisation and orchestration for ML workloads - Comfortable working across multi-cloud, Legacy-integrated environments - Secure-by-design engineering practices appropriate to sensitive public-sector data Desirable Experience - AWS/Azure/GCP infrastructure certifications - Experience building MLOps platforms within regulated or public-sector environments - Familiarity with model governance/traceability requirements such as ATRS - Prior delivery within UK central government or the wider public sector Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance - please flag in your application if you already hold clearance.
24/07/2026
Full time
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments.Our work has positively influenced the lives of over 40 million UK citizens. Overview We're looking for an MLOps Engineer to build the operational backbone that lets models move safely and reliably from experimentation into production, at scale, across a central government department's multi-cloud, Legacy-integrated environment. Where the MLEngineer trains models and the AI Engineer builds features on top of them, you own the pipeline, infrastructure, and monitoring that keeps everything running in production. You'll work inside a collaborative "Rainbow Team" alongside civil servants, translating the Architect's platform decisions into reproducible, auditable infrastructure. Key Responsibilities ML/AI Pipeline Engineering - Design CI/CD pipelines specific to ML/AI workloads, covering data versioning, training, testing, packaging, and deployment. Production Reliability - Implement monitoring, logging, alerting, and automated rollback for AI services in production, tuned for the availability and sensitivity requirements of public-sector systems. Infrastructure-as-Code - Build reproducible, auditable infrastructure for AI workloads - compute, storage, networking - using IaC tooling appropriate to the department's multi-cloud environment. Model Governance in Operation - Implement model registries, versioning, and lineage tracking so every production model can be traced back to its training data, code, and evaluation results - directly supporting the programme's ATRS transparency obligations. Cost & Sustainability Optimisation - Right-size infrastructure and monitor resource usage to keep the platform's footprint down, in line with the programme's Green AI and Net Zero Commitments. Required Skills & Experience - Strong DevOps background extended into ML/AI-specific tooling (model registries, feature stores, experiment tracking) - Infrastructure-as-code and CI/CD pipeline design and build experience - Experience with observability and monitoring for production systems at scale - Understanding of containerisation and orchestration for ML workloads - Comfortable working across multi-cloud, Legacy-integrated environments - Secure-by-design engineering practices appropriate to sensitive public-sector data Desirable Experience - AWS/Azure/GCP infrastructure certifications - Experience building MLOps platforms within regulated or public-sector environments - Familiarity with model governance/traceability requirements such as ATRS - Prior delivery within UK central government or the wider public sector Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance - please flag in your application if you already hold clearance.
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference - and we're now scaling that expertise into large, high-stakes AI adoption programmes across the public sector. Overview We're looking for a Lead AI Engineer to be the hands-on technical builder at the core of a large-scale AI Operating Model programme for a central government department. Where the Lead Technical Architect sets direction, you turn it into working, production-grade systems - semantic search, RAG pipelines, and broader generative AI capability - integrated into complex Legacy and multi-cloud environments handling high-volume, sensitive public sector data. You'll work inside a collaborative "Rainbow Team" alongside civil servants and the wider delivery team, staying close to the code while also mentoring engineers and helping build the internal capability the department needs to eventually run these systems without long-term reliance on external suppliers. Key Responsibilities Hands-On Build & Delivery Design, build, and ship production AI components - RAG pipelines, retrieval and embedding infrastructure, orchestration logic, and integration layers - writing high-quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. Responsible AI in Practice Implement the guardrails the Architect designs - bias mitigation checks, evaluation harnesses, human-in-the-loop review points - so that Responsible AI principles (ATRS alignment, NCSC "Secure by Design, " meaningful human control) are enforced in the running system, not just on paper. Reliability, Security & Observability Build AI services to be secure-by-default and observable in production: logging, monitoring, alerting, and rollback paths appropriate for sensitive public-sector data and high-availability requirements. Knowledge Transfer & Capability Uplift Work within the OKUA (Ownership, Knowledge, Understanding, Awareness) framework and "Docs-as-Code" practices to pair with and upskill internal government engineers, so capability genuinely transfers rather than staying locked in the consultancy team. Efficient, Sustainable Engineering Favour low-modality, resource-efficient designs where they meet the need - right-sizing models and infrastructure rather than defaulting to the largest/most expensive option - in line with the programme's Green AI and Net Zero commitments. Required Skills & Experience Loosely mapped to the Government Digital and Data (DDaT) framework, at Lead Engineer level: - Coding and Scripting (Expert) - writing production-grade, well-tested code; setting standards for others; comfortable owning components end-to-end. - Systems Design (Practitioner) - designing components that integrate cleanly into a wider, architect-defined system; understanding trade-offs across the stack. - Data Engineering (Practitioner) - building reliable pipelines to ingest, clean, and prepare data (including unstructured/Legacy sources) for AI consumption. - DevOps/Continuous Delivery (Practitioner) - CI/CD pipelines, infrastructure-as-code, and automated deployment for AI workloads specifically (not just conventional web services). - Testing & Evaluation (Practitioner) - beyond conventional unit/integration testing, building evaluation harnesses for AI system quality: retrieval accuracy, hallucination rate, bias/fairness checks. - Problem Solving (Practitioner) - diagnosing and resolving complex, ambiguous technical issues under production pressure. - Agile Working (Practitioner) - delivering iteratively within a blended, multidisciplinary team including civil servants. Given the scale of this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) - Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) - LLMOps/MLOps - model versioning, deployment, monitoring, and rollback for AI services in production - Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling - Containerisation and infrastructure-as-code for repeatable, auditable deployments - Secure-by-design engineering appropriate to sensitive public-sector data Desirable Experience - AWS/Azure/GCP certifications (associate or professional level) - Prior delivery of AI or digital services within UK central government or wider public sector - Experience fine-tuning or adapting open-source/foundation models for a specific domain - Open-source contributions or active engagement in AI/ML engineering communities - Experience designing for sustainability/Green IT commitments - The technological capabilities can span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/technologies. Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: - Collaboration - we are stronger as a team than as individuals; we tackle problems and celebrate wins together. - Create Value Early - we find the quickest route from idea to product, because our clients rely on us to do what's best. - Integrity - teamwork requires trust; we can always be relied upon to uphold the highest standards. - Commitment - no matter what, no matter how, we give our 100% to keeping our promises and achieving our goals. - Diversity and Inclusion - we believe diversity drives innovation and better outcomes, and we're committed to an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment to ensure equal opportunity for all. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS (Baseline Personnel Security Standard) clearance - please flag in your application if you already hold clearance.
24/07/2026
Full time
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference - and we're now scaling that expertise into large, high-stakes AI adoption programmes across the public sector. Overview We're looking for a Lead AI Engineer to be the hands-on technical builder at the core of a large-scale AI Operating Model programme for a central government department. Where the Lead Technical Architect sets direction, you turn it into working, production-grade systems - semantic search, RAG pipelines, and broader generative AI capability - integrated into complex Legacy and multi-cloud environments handling high-volume, sensitive public sector data. You'll work inside a collaborative "Rainbow Team" alongside civil servants and the wider delivery team, staying close to the code while also mentoring engineers and helping build the internal capability the department needs to eventually run these systems without long-term reliance on external suppliers. Key Responsibilities Hands-On Build & Delivery Design, build, and ship production AI components - RAG pipelines, retrieval and embedding infrastructure, orchestration logic, and integration layers - writing high-quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. Responsible AI in Practice Implement the guardrails the Architect designs - bias mitigation checks, evaluation harnesses, human-in-the-loop review points - so that Responsible AI principles (ATRS alignment, NCSC "Secure by Design, " meaningful human control) are enforced in the running system, not just on paper. Reliability, Security & Observability Build AI services to be secure-by-default and observable in production: logging, monitoring, alerting, and rollback paths appropriate for sensitive public-sector data and high-availability requirements. Knowledge Transfer & Capability Uplift Work within the OKUA (Ownership, Knowledge, Understanding, Awareness) framework and "Docs-as-Code" practices to pair with and upskill internal government engineers, so capability genuinely transfers rather than staying locked in the consultancy team. Efficient, Sustainable Engineering Favour low-modality, resource-efficient designs where they meet the need - right-sizing models and infrastructure rather than defaulting to the largest/most expensive option - in line with the programme's Green AI and Net Zero commitments. Required Skills & Experience Loosely mapped to the Government Digital and Data (DDaT) framework, at Lead Engineer level: - Coding and Scripting (Expert) - writing production-grade, well-tested code; setting standards for others; comfortable owning components end-to-end. - Systems Design (Practitioner) - designing components that integrate cleanly into a wider, architect-defined system; understanding trade-offs across the stack. - Data Engineering (Practitioner) - building reliable pipelines to ingest, clean, and prepare data (including unstructured/Legacy sources) for AI consumption. - DevOps/Continuous Delivery (Practitioner) - CI/CD pipelines, infrastructure-as-code, and automated deployment for AI workloads specifically (not just conventional web services). - Testing & Evaluation (Practitioner) - beyond conventional unit/integration testing, building evaluation harnesses for AI system quality: retrieval accuracy, hallucination rate, bias/fairness checks. - Problem Solving (Practitioner) - diagnosing and resolving complex, ambiguous technical issues under production pressure. - Agile Working (Practitioner) - delivering iteratively within a blended, multidisciplinary team including civil servants. Given the scale of this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) - Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) - LLMOps/MLOps - model versioning, deployment, monitoring, and rollback for AI services in production - Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling - Containerisation and infrastructure-as-code for repeatable, auditable deployments - Secure-by-design engineering appropriate to sensitive public-sector data Desirable Experience - AWS/Azure/GCP certifications (associate or professional level) - Prior delivery of AI or digital services within UK central government or wider public sector - Experience fine-tuning or adapting open-source/foundation models for a specific domain - Open-source contributions or active engagement in AI/ML engineering communities - Experience designing for sustainability/Green IT commitments - The technological capabilities can span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/technologies. Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: - Collaboration - we are stronger as a team than as individuals; we tackle problems and celebrate wins together. - Create Value Early - we find the quickest route from idea to product, because our clients rely on us to do what's best. - Integrity - teamwork requires trust; we can always be relied upon to uphold the highest standards. - Commitment - no matter what, no matter how, we give our 100% to keeping our promises and achieving our goals. - Diversity and Inclusion - we believe diversity drives innovation and better outcomes, and we're committed to an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment to ensure equal opportunity for all. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS (Baseline Personnel Security Standard) clearance - please flag in your application if you already hold clearance.
Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets in a modern, cloud-native environment. About Scrumconnect Scrumconnect is a leading UK technology consultancy delivering digital transformation across public and private sectors, contributing to over 20% of the UK's major citizen-facing public services. We specialise in cloud engineering, data platforms, and agile delivery, helping clients build scalable, secure, and user-centred digital solutions that create real impact. Active SC clearance is a mandatory, non-negotiable requirement. Candidates must hold current, in-date Security Check (SC) clearance at the time of application. Sponsorship is not available. Applications without active SC clearance will not be considered. Working arrangement: This role is hybrid. Candidates must be willing and able to travel to the Newcastle office three days per week. Remaining days may be worked remotely from anywhere in the UK. About the role You will work as a Data Engineer on a complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets to downstream users. You will apply strong data analysis skills to identify root causes of data issues, work with dimensional data models and slowly changing dimensions, and implement infrastructure as code using Terraform. Familiarity with engineering best practices and the ability to translate customer expectations into applied technical functionality are key to success in this role. Key responsibilitiesData pipeline development Build and maintain scalable data pipelines using Apache Spark and PySpark, processing and transforming large datasets across distributed cloud infrastructure. Workflow orchestration Configure and manage Apache Airflow DAGs for task orchestration, ensuring reliable scheduling, monitoring, and execution of data processing workflows. Root cause analysis Perform data analysis to identify and resolve root causes of pipeline failures and data quality issues - including reviewing EMR output logs and CloudWatch metrics. Data modelling Apply understanding of dimensional data models and slowly changing dimensions (SCD) to design and maintain well-structured, analytically trusted data assets. Infrastructure as code Provision and manage cloud infrastructure using Terraform. Containerise solutions using Docker and manage deployments through GitLab CI/CD pipelines and release tagging. Security & encryption Apply understanding of both Server Side and client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. Technical skills requiredLanguages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures for constructing robust, scalable solutions Data processing & orchestration Apache Spark - understanding of distributed data processing architecture and execution Apache Airflow - configuring DAGs and managing task orchestration at scale Jupyter Notebooks - for exploratory data analysis and pipeline prototyping Understanding of dimensional data models and slowly changing dimensions (SCD Types 1, 2, 3) Data analysis skills to identify root cause of issues within pipelines and data assets AWS services Amazon EMR - running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring services Understanding of Server Side and client-side encryption within AWS Infrastructure, DevOps & delivery Terraform - Infrastructure as Code for provisioning and managing AWS environments Docker - containerisation of data engineering solutions GitLab - source code management, CI/CD pipeline configuration, release tagging, and component versioning Familiarity with engineering best practices Ability to translate customer expectations into applied, functional technical solutions Technology stack at a glance PythonPySparkSQLApache SparkApache AirflowJupyter NotebooksDimensional modelling/SCDAWS EMRAmazon AthenaAWS S3AWS IAMAWS CloudWatchAWS EC2/ECRAmazon TextractAmazon ComprehendTerraformDockerGitLab CI/CDGitLab Tags
24/07/2026
Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets in a modern, cloud-native environment. About Scrumconnect Scrumconnect is a leading UK technology consultancy delivering digital transformation across public and private sectors, contributing to over 20% of the UK's major citizen-facing public services. We specialise in cloud engineering, data platforms, and agile delivery, helping clients build scalable, secure, and user-centred digital solutions that create real impact. Active SC clearance is a mandatory, non-negotiable requirement. Candidates must hold current, in-date Security Check (SC) clearance at the time of application. Sponsorship is not available. Applications without active SC clearance will not be considered. Working arrangement: This role is hybrid. Candidates must be willing and able to travel to the Newcastle office three days per week. Remaining days may be worked remotely from anywhere in the UK. About the role You will work as a Data Engineer on a complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets to downstream users. You will apply strong data analysis skills to identify root causes of data issues, work with dimensional data models and slowly changing dimensions, and implement infrastructure as code using Terraform. Familiarity with engineering best practices and the ability to translate customer expectations into applied technical functionality are key to success in this role. Key responsibilitiesData pipeline development Build and maintain scalable data pipelines using Apache Spark and PySpark, processing and transforming large datasets across distributed cloud infrastructure. Workflow orchestration Configure and manage Apache Airflow DAGs for task orchestration, ensuring reliable scheduling, monitoring, and execution of data processing workflows. Root cause analysis Perform data analysis to identify and resolve root causes of pipeline failures and data quality issues - including reviewing EMR output logs and CloudWatch metrics. Data modelling Apply understanding of dimensional data models and slowly changing dimensions (SCD) to design and maintain well-structured, analytically trusted data assets. Infrastructure as code Provision and manage cloud infrastructure using Terraform. Containerise solutions using Docker and manage deployments through GitLab CI/CD pipelines and release tagging. Security & encryption Apply understanding of both Server Side and client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. Technical skills requiredLanguages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures for constructing robust, scalable solutions Data processing & orchestration Apache Spark - understanding of distributed data processing architecture and execution Apache Airflow - configuring DAGs and managing task orchestration at scale Jupyter Notebooks - for exploratory data analysis and pipeline prototyping Understanding of dimensional data models and slowly changing dimensions (SCD Types 1, 2, 3) Data analysis skills to identify root cause of issues within pipelines and data assets AWS services Amazon EMR - running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring services Understanding of Server Side and client-side encryption within AWS Infrastructure, DevOps & delivery Terraform - Infrastructure as Code for provisioning and managing AWS environments Docker - containerisation of data engineering solutions GitLab - source code management, CI/CD pipeline configuration, release tagging, and component versioning Familiarity with engineering best practices Ability to translate customer expectations into applied, functional technical solutions Technology stack at a glance PythonPySparkSQLApache SparkApache AirflowJupyter NotebooksDimensional modelling/SCDAWS EMRAmazon AthenaAWS S3AWS IAMAWS CloudWatchAWS EC2/ECRAmazon TextractAmazon ComprehendTerraformDockerGitLab CI/CDGitLab Tags
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference; and we're now scaling that expertise into large, high-stakes AI adoption programmes across the public sector. Overview We're looking for a Lead Technical Architect (AI) to act as the technical authority for a full-scale AI Operating Model and Responsible AI Governance Framework at a central government department. This is a large, high-visibility AI adoption and scale-up programme covering systems and services handling high-volume, sensitive public sector data. You'll work as part of a collaborative "Rainbow Team" alongside civil servants, with a mission that goes beyond delivery: build sustainable internal capability so the department can eventually operate and govern its own AI capability without long-term reliance on external suppliers. Key Responsibilities Architectural Leadership & Integration Design and implement enterprise-grade AI platforms - including semantic search, Retrieval-Augmented Generation (RAG), and broader generative AI/agentic capabilities - integrating cleanly with the department's complex Legacy and multi-cloud environments. Responsible AI Governance Embed end-to-end responsible AI controls across the full life cycle: alignment with the Algorithmic Transparency Recording Standard (ATRS), NCSC "Secure by Design" principles, and active mitigation of algorithmic bias. Ensure every system operates as a decision-support tool that enforces meaningful human control. Risk & Value Management Navigate trade-offs between value, risk, pace, and quality using HM Treasury Orange Book and Technology-Organisation-Environment (ToE) frameworks. Identify and resolve systemic risks via Joint Risk Registers. Zero-Dependency Handover & Capability Uplift Co-deliver within blended agile teams. Drive knowledge transfer using the OKUA (Ownership, Knowledge, Understanding, Awareness) framework and "Docs-as-Code" practices so internal staff can independently operate and govern AI capability long after the engagement ends. Environmental Sustainability (Green AI) Design low-modality, energy-efficient AI architectures aligned with "Circularity Performance Requirements" (Buy Better, Use Better, Use Longer), supporting Net Zero 2030/2040 commitments. Required Skills & Experience Mapped to the Government Digital and Data (DDaT) framework: Technical Design Throughout the Life Cycle (Expert) : technical designs for high-risk, high-impact, high-complexity systems; leading others toward organisational objectives; refining standards from feedback. Architecture Communication (Expert): communicating complex or contentious architecture to technical and non-technical stakeholders at all levels; mediating difficult discussions; securing executive buy-in. Making Architectural Decisions (Practitioner): medium-to-high-risk design decisions spanning multiple domains; active contribution to architectural governance and assurance boards. Architect for the Whole Context (Practitioner): tracking emerging AI and technology trends; influencing colleagues across the organisation to solve or mitigate problems. Strategy Design (Practitioner): defining architectural principles, AI patterns, and strategic vision aligned to wider government objectives; building implementation roadmaps. Community Collaboration (Practitioner): proactive networking, resolving team-dynamics issues, using Agile health checks to strengthen the multidisciplinary delivery team. Alongside the DDaT competencies, given the scale of this programme, hands-on depth across the modern AI engineering stack is essential, not just RAG in isolation: Semantic search, vector/embedding infrastructure, and retrieval architecture design LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) LLM evaluation, guardrails, and red-teaming tooling (hallucination detection, safety/bias testing) LLMOps/MLOps: model versioning, deployment pipelines, monitoring, and rollback for AI services in production Fine-tuning and parameter-efficient adaptation techniques where appropriate to use case Data engineering for AI: ingestion, cleaning, and lineage across Legacy and multi-cloud sources Infrastructure-as-Code and CI/CD practices adapted for AI workloads, with strong observability Secure-by-design engineering appropriate to sensitive public-sector data (identity, access control, data protection) Desirable Experience AWS/Azure/GCP architecture certifications, AI related certifications most desirable. Experience contributing to GOV.UK Service Standard Alpha or beta assessments Prior delivery of AI or digital services within UK central government or wider public sector Familiarity with ATRS submissions, HM Treasury Orange Book, or equivalent public-sector risk/assurance frameworks Open-source contributions or active engagement in engineering/AI communities Experience designing for sustainability/Green IT commitments Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production systems and data access must be performed solely from within the UK. How We Work Our values: Collaboration: we are stronger as a team than as individuals; we tackle problems and celebrate wins together. Create Value Early: we find the quickest route from idea to product, because our clients rely on us to do what's best. Integrity: teamwork requires trust; we can always be relied upon to uphold the highest standards. Commitment: no matter what, no matter how, we give our 100% to keeping our promises and achieving our goals. Diversity and Inclusion: we believe diversity drives innovation and better outcomes, and we're committed to an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment to ensure equal opportunity for all.
24/07/2026
Full time
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference; and we're now scaling that expertise into large, high-stakes AI adoption programmes across the public sector. Overview We're looking for a Lead Technical Architect (AI) to act as the technical authority for a full-scale AI Operating Model and Responsible AI Governance Framework at a central government department. This is a large, high-visibility AI adoption and scale-up programme covering systems and services handling high-volume, sensitive public sector data. You'll work as part of a collaborative "Rainbow Team" alongside civil servants, with a mission that goes beyond delivery: build sustainable internal capability so the department can eventually operate and govern its own AI capability without long-term reliance on external suppliers. Key Responsibilities Architectural Leadership & Integration Design and implement enterprise-grade AI platforms - including semantic search, Retrieval-Augmented Generation (RAG), and broader generative AI/agentic capabilities - integrating cleanly with the department's complex Legacy and multi-cloud environments. Responsible AI Governance Embed end-to-end responsible AI controls across the full life cycle: alignment with the Algorithmic Transparency Recording Standard (ATRS), NCSC "Secure by Design" principles, and active mitigation of algorithmic bias. Ensure every system operates as a decision-support tool that enforces meaningful human control. Risk & Value Management Navigate trade-offs between value, risk, pace, and quality using HM Treasury Orange Book and Technology-Organisation-Environment (ToE) frameworks. Identify and resolve systemic risks via Joint Risk Registers. Zero-Dependency Handover & Capability Uplift Co-deliver within blended agile teams. Drive knowledge transfer using the OKUA (Ownership, Knowledge, Understanding, Awareness) framework and "Docs-as-Code" practices so internal staff can independently operate and govern AI capability long after the engagement ends. Environmental Sustainability (Green AI) Design low-modality, energy-efficient AI architectures aligned with "Circularity Performance Requirements" (Buy Better, Use Better, Use Longer), supporting Net Zero 2030/2040 commitments. Required Skills & Experience Mapped to the Government Digital and Data (DDaT) framework: Technical Design Throughout the Life Cycle (Expert) : technical designs for high-risk, high-impact, high-complexity systems; leading others toward organisational objectives; refining standards from feedback. Architecture Communication (Expert): communicating complex or contentious architecture to technical and non-technical stakeholders at all levels; mediating difficult discussions; securing executive buy-in. Making Architectural Decisions (Practitioner): medium-to-high-risk design decisions spanning multiple domains; active contribution to architectural governance and assurance boards. Architect for the Whole Context (Practitioner): tracking emerging AI and technology trends; influencing colleagues across the organisation to solve or mitigate problems. Strategy Design (Practitioner): defining architectural principles, AI patterns, and strategic vision aligned to wider government objectives; building implementation roadmaps. Community Collaboration (Practitioner): proactive networking, resolving team-dynamics issues, using Agile health checks to strengthen the multidisciplinary delivery team. Alongside the DDaT competencies, given the scale of this programme, hands-on depth across the modern AI engineering stack is essential, not just RAG in isolation: Semantic search, vector/embedding infrastructure, and retrieval architecture design LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) LLM evaluation, guardrails, and red-teaming tooling (hallucination detection, safety/bias testing) LLMOps/MLOps: model versioning, deployment pipelines, monitoring, and rollback for AI services in production Fine-tuning and parameter-efficient adaptation techniques where appropriate to use case Data engineering for AI: ingestion, cleaning, and lineage across Legacy and multi-cloud sources Infrastructure-as-Code and CI/CD practices adapted for AI workloads, with strong observability Secure-by-design engineering appropriate to sensitive public-sector data (identity, access control, data protection) Desirable Experience AWS/Azure/GCP architecture certifications, AI related certifications most desirable. Experience contributing to GOV.UK Service Standard Alpha or beta assessments Prior delivery of AI or digital services within UK central government or wider public sector Familiarity with ATRS submissions, HM Treasury Orange Book, or equivalent public-sector risk/assurance frameworks Open-source contributions or active engagement in engineering/AI communities Experience designing for sustainability/Green IT commitments Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production systems and data access must be performed solely from within the UK. How We Work Our values: Collaboration: we are stronger as a team than as individuals; we tackle problems and celebrate wins together. Create Value Early: we find the quickest route from idea to product, because our clients rely on us to do what's best. Integrity: teamwork requires trust; we can always be relied upon to uphold the highest standards. Commitment: no matter what, no matter how, we give our 100% to keeping our promises and achieving our goals. Diversity and Inclusion: we believe diversity drives innovation and better outcomes, and we're committed to an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment to ensure equal opportunity for all.
Newcastle upon Tyne, United Kingdom Posted on 17/07/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. Overview We're looking for an AI Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows into working, usable features that integrate with the department's existing services. You'll work inside a collaborative "Rainbow Team" alongside civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect. Key Responsibilities Build & Integrate Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department's legacy and multi-cloud systems. Prompt Engineering & Evaluation Design, test, and iterate on prompts and retrieval strategies; run structured evaluations to track answer quality, retrieval accuracy, and hallucination rate over time. Responsible AI in Practice Implement the specific guardrails and human-in-the-loop checkpoints defined by the leads - this is an execution role, not a policy-setting one. Documentation & Handover Contribute to "Docs-as-Code" artifacts supporting the OKUA knowledge-transfer framework, so the features you build can be understood and maintained by internal government engineers. Required Skills & Experience Practical experience building applications using LLMs or other foundation models, via API or self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks and multi-step AI workflows Comfortable working within secure, regulated environments and handling sensitive data appropriately Experience delivering digital services within UK central government or the wider public sector Familiarity with GOV.UK Service Standard expectations Exposure to open-source LLM tooling or communities Familiarity with AI/ML tooling on AWS, Azure, or GCP Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance - please flag in your application if you already hold clearance.
24/07/2026
Full time
Newcastle upon Tyne, United Kingdom Posted on 17/07/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. Overview We're looking for an AI Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows into working, usable features that integrate with the department's existing services. You'll work inside a collaborative "Rainbow Team" alongside civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect. Key Responsibilities Build & Integrate Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department's legacy and multi-cloud systems. Prompt Engineering & Evaluation Design, test, and iterate on prompts and retrieval strategies; run structured evaluations to track answer quality, retrieval accuracy, and hallucination rate over time. Responsible AI in Practice Implement the specific guardrails and human-in-the-loop checkpoints defined by the leads - this is an execution role, not a policy-setting one. Documentation & Handover Contribute to "Docs-as-Code" artifacts supporting the OKUA knowledge-transfer framework, so the features you build can be understood and maintained by internal government engineers. Required Skills & Experience Practical experience building applications using LLMs or other foundation models, via API or self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks and multi-step AI workflows Comfortable working within secure, regulated environments and handling sensitive data appropriately Experience delivering digital services within UK central government or the wider public sector Familiarity with GOV.UK Service Standard expectations Exposure to open-source LLM tooling or communities Familiarity with AI/ML tooling on AWS, Azure, or GCP Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance - please flag in your application if you already hold clearance.
Neptune North was founded in 2024 as a joint venture between Oliver Wyman, a global leader in management consulting and part of the NYSE-listed Marsh, and Rokos Capital Management, a global alternative investment fund manager. Our people are exceptional technical experts, who thrive on exploiting leading edge technologies to solve the most complex problems. We provide bespoke technology solutions to businesses operating in the banking and financial services, private capital and defence industries. Our working environment is founded on principles of trust, collaboration and shared purpose. We pride ourselves both on the high calibre of our people, and on the supportive workplace they create, where each individual is given autonomy to grow and thrive. From our headquarters in Newcastle upon Tyne, UK, we operate across our international office network. We are expanding rapidly, building teams in key markets to stay close to our clients and talent. Our Culture We are looking for exceptional talent with excellent communication skills Collaboration is key, both internally and with our clients. We believe we do our best work when we are together and working hand in hand with business users Curiosity is something we embrace and value highly We want people who are positive and passionate, have proven problem solving capabilities, can work quickly to find solutions to complex challenges and unlock big opportunities People need to be able to take ownership and be trusted to deliver, going the extra mile We want people who are highly motivated and have a high desire to learn Responsibilities We are seeking an experienced Data Engineer for our client's Data Analytics Team. This role involves building data pipelines to the firm's central data platform as well as development, testing and maintenance of said platform to ensure the availability, reliability, and integrity of data critical to the investment process. Data Pipeline Development: Design and develop sophisticated data pipelines to import data from external vendors, sell side partners, and other providers seamlessly into our central data platform. Platform Development & Testing: Contribute to the ongoing enhancement of our platform to ensure it aligns with ever changing business requirements. Test the system regularly to confirm its effectiveness and perform troubleshooting when necessary. Platform Maintenance & Data Reliability: Ensure our platform is well maintained, enabling uninterrupted access to crucial data points. Continuously verify data quality and integrity essential for our investment process. Continuous Improvement & Collaboration: Collaborate with internal stakeholders to streamline data accessibility and usability. Drive innovation by adopting advanced analytics technologies and methodologies. What makes a great candidate All levels of experience will be considered Expertise in designing and building data pipelines Proficient in SQL, Python, AWS and other data management technologies Familiarity with version control systems like Git and orchestration tools like Airflow Ability to test and troubleshoot data platforms reliably. A track record of improving data reliability and quality Excellent communication skills and the ability to work effectively within a team based environment Self starter, detail oriented, and open to learning new technologies and methodologies An Undergraduate Degree in a relevant subject Make an impact from day one: we empower and trust our people to leverage and extend their skill sets Work on a wide variety of projects alongside exceptionally talented people, often closely correlated to world events and trends Deliver demonstrable business value working hand in hand with the customer Learn from industry experts on how financial markets and world economies work
24/07/2026
Full time
Neptune North was founded in 2024 as a joint venture between Oliver Wyman, a global leader in management consulting and part of the NYSE-listed Marsh, and Rokos Capital Management, a global alternative investment fund manager. Our people are exceptional technical experts, who thrive on exploiting leading edge technologies to solve the most complex problems. We provide bespoke technology solutions to businesses operating in the banking and financial services, private capital and defence industries. Our working environment is founded on principles of trust, collaboration and shared purpose. We pride ourselves both on the high calibre of our people, and on the supportive workplace they create, where each individual is given autonomy to grow and thrive. From our headquarters in Newcastle upon Tyne, UK, we operate across our international office network. We are expanding rapidly, building teams in key markets to stay close to our clients and talent. Our Culture We are looking for exceptional talent with excellent communication skills Collaboration is key, both internally and with our clients. We believe we do our best work when we are together and working hand in hand with business users Curiosity is something we embrace and value highly We want people who are positive and passionate, have proven problem solving capabilities, can work quickly to find solutions to complex challenges and unlock big opportunities People need to be able to take ownership and be trusted to deliver, going the extra mile We want people who are highly motivated and have a high desire to learn Responsibilities We are seeking an experienced Data Engineer for our client's Data Analytics Team. This role involves building data pipelines to the firm's central data platform as well as development, testing and maintenance of said platform to ensure the availability, reliability, and integrity of data critical to the investment process. Data Pipeline Development: Design and develop sophisticated data pipelines to import data from external vendors, sell side partners, and other providers seamlessly into our central data platform. Platform Development & Testing: Contribute to the ongoing enhancement of our platform to ensure it aligns with ever changing business requirements. Test the system regularly to confirm its effectiveness and perform troubleshooting when necessary. Platform Maintenance & Data Reliability: Ensure our platform is well maintained, enabling uninterrupted access to crucial data points. Continuously verify data quality and integrity essential for our investment process. Continuous Improvement & Collaboration: Collaborate with internal stakeholders to streamline data accessibility and usability. Drive innovation by adopting advanced analytics technologies and methodologies. What makes a great candidate All levels of experience will be considered Expertise in designing and building data pipelines Proficient in SQL, Python, AWS and other data management technologies Familiarity with version control systems like Git and orchestration tools like Airflow Ability to test and troubleshoot data platforms reliably. A track record of improving data reliability and quality Excellent communication skills and the ability to work effectively within a team based environment Self starter, detail oriented, and open to learning new technologies and methodologies An Undergraduate Degree in a relevant subject Make an impact from day one: we empower and trust our people to leverage and extend their skill sets Work on a wide variety of projects alongside exceptionally talented people, often closely correlated to world events and trends Deliver demonstrable business value working hand in hand with the customer Learn from industry experts on how financial markets and world economies work
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.
Job Description: Your impact At Leonardo, you won't just be working on radar systems - you'll be helping to define what comes next. Join a team at the forefront of phased array radar technology, where innovation, expertise and ambition come together to shape capabilities that matter. We're seeking talented, driven and experienced Senior/Principal Microwave Engineers to become part of our growing hardware engineering community within our world class radar division. Based at our Edinburgh site, you'll collaborate with some of the brightest minds in the industry, turning cutting edge ideas into real world solutions. You will: Create high quality and robust MMIC designs using Gallium Nitride (GaN) or Gallium Arsenide (GaAs) semiconductor technologies. Perform circuit design including High Power Amplifiers, Low Noise Amplifiers, Attenuators, Phase Shifters, Switches, Oscillators etc. Prepare robust manufacturing data packs and provide technical support to sub-contracts and engineering interface with external foundries. Ensure design reviews are planned, executed and completed successfully. Conduct RF on wafer and "chip on board" testing of your designs including debugging, and performance verification to ensure the requirements are met. Collaborate with cross-disciplinary teams - mechanical, systems, test and manufacture - to ensure seamless integration of your MMIC designs into our larger systems. Mentor early career engineers and contribute to technical reviews and design standards. What you'll bring To excel in this role, you'll bring a strong command of RF circuit design, microwave engineering, and electromagnetic theory, paired with the problem solving mindset and attention to detail needed to tackle complex technical challenges. A curiosity for emerging technologies, enthusiasm for the defence and space sectors, and adaptability to new methods and tools will also help you thrive as part of our team. Qualifications: first or second degree (BSc, BEng, MEng, MSc, PhD, EngD) in Electrical & Electronic Engineering (preferable) or related science (e.g. Physics) Proven experience (3 years +) in MMIC circuit design and a strong understanding of microwave techniques and electromagnetic theory. Proficiency in using commercial software tools for RF analysis /simulation such as Keysight ADS, AWR Microwave Office & CST Microwave Studio Hands-on experience in RF & Microwave measurement techniques such as Vector Network Analysis, Spectrum Analysis etc. Awareness of requirements management, ideally using tools such as IBM Doors. 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. 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! Primary Location: GB - Edinburgh Additional Locations: GB - Newcastle Contract Type: Permanent Hybrid Working: Hybrid
23/07/2026
Full time
Job Description: Your impact At Leonardo, you won't just be working on radar systems - you'll be helping to define what comes next. Join a team at the forefront of phased array radar technology, where innovation, expertise and ambition come together to shape capabilities that matter. We're seeking talented, driven and experienced Senior/Principal Microwave Engineers to become part of our growing hardware engineering community within our world class radar division. Based at our Edinburgh site, you'll collaborate with some of the brightest minds in the industry, turning cutting edge ideas into real world solutions. You will: Create high quality and robust MMIC designs using Gallium Nitride (GaN) or Gallium Arsenide (GaAs) semiconductor technologies. Perform circuit design including High Power Amplifiers, Low Noise Amplifiers, Attenuators, Phase Shifters, Switches, Oscillators etc. Prepare robust manufacturing data packs and provide technical support to sub-contracts and engineering interface with external foundries. Ensure design reviews are planned, executed and completed successfully. Conduct RF on wafer and "chip on board" testing of your designs including debugging, and performance verification to ensure the requirements are met. Collaborate with cross-disciplinary teams - mechanical, systems, test and manufacture - to ensure seamless integration of your MMIC designs into our larger systems. Mentor early career engineers and contribute to technical reviews and design standards. What you'll bring To excel in this role, you'll bring a strong command of RF circuit design, microwave engineering, and electromagnetic theory, paired with the problem solving mindset and attention to detail needed to tackle complex technical challenges. A curiosity for emerging technologies, enthusiasm for the defence and space sectors, and adaptability to new methods and tools will also help you thrive as part of our team. Qualifications: first or second degree (BSc, BEng, MEng, MSc, PhD, EngD) in Electrical & Electronic Engineering (preferable) or related science (e.g. Physics) Proven experience (3 years +) in MMIC circuit design and a strong understanding of microwave techniques and electromagnetic theory. Proficiency in using commercial software tools for RF analysis /simulation such as Keysight ADS, AWR Microwave Office & CST Microwave Studio Hands-on experience in RF & Microwave measurement techniques such as Vector Network Analysis, Spectrum Analysis etc. Awareness of requirements management, ideally using tools such as IBM Doors. 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. 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! Primary Location: GB - Edinburgh Additional Locations: GB - Newcastle Contract Type: Permanent Hybrid Working: Hybrid
Version 1 London, Birmingham, Manchester, Newcastle upon Tyne, Edinburgh, Belfast Job Description We are seeking an experienced AI Solution Architect to lead the design, architecture, and delivery of AI-powered solutions across client and internal projects. This role bridges business requirements, data science, software engineering, and cloud infrastructure to create scalable, secure, and production ready AI systems. The ideal candidate combines strong technical expertise with stakeholder management skills and can translate business challenges into practical AI solutions that deliver measurable value. Key Responsibilities Lead discovery workshops and requirements gathering with stakeholders. Design end to end AI solution architectures for Generative AI, Machine Learning, and Intelligent Automation initiatives. Define system integration patterns across enterprise applications, APIs, databases, and cloud services. Create technical architecture diagrams, solution designs, and implementation roadmaps. Evaluate AI technologies, platforms, and frameworks to recommend best fit solutions. AI Strategy & Advisory Advise clients and internal stakeholders on AI adoption strategies and use cases. Conduct AI feasibility assessments, proof of concepts, and technology evaluations. Develop responsible AI frameworks covering bias evaluation, model explainability, data privacy, and regulatory compliance including the EU AI Act. Identify opportunities for process optimisation through AI and automation. Delivery Leadership Provide technical leadership throughout project lifecycles. Collaborate with AI/ML Engineers, Data Scientists, Software Engineers, and Product Teams. Review solution designs and ensure alignment with enterprise architecture standards. Support deployment planning, risk management, and solution scalability across full delivery lifecycle. Stakeholder Management Present technical concepts to both technical and non technical audiences. Engage with executive stakeholders to align AI initiatives with business objectives. Produce solution proposals, statements of work, and technical documentation. Qualifications Technical Skills Strong understanding of Machine Learning and Generative AI architectures. Experience with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG). Knowledge of AI orchestration frameworks such as: LangChain LlamaIndex Semantic Kernel CrewAI Cloud platform expertise in one or more of these areas: AWS Microsoft Azure Google Cloud Platform API design and microservices architecture. Data architecture and integration experience. Familiarity with knowledge graphs, vector databases and knowledge management systems. Generative AI Experience Design and scale LLM based applications, including multi model routing, context management, and cost/latency optimisation. Prompt engineering strategies. Agentic AI systems. RAG design patterns, including chunking strategies, re ranking, hybrid search, and evaluation. Evaluation and monitoring frameworks covering hallucination detection, relevance scoring, and production drift monitoring. AI safety, governance, and compliance. Human Centred AI Design Trust architecture: design confidence scoring and uncertainty communication frameworks so users understand when AI is offering a recommendation versus a definitive answer; implement explainability mechanisms that build trust through transparency whilst maintaining appropriate scepticism about AI outputs. Human oversight: define clear automation boundaries distinguishing fully automated processes from human in the loop workflows; mandate human review pathways for high risk decisions in line with EU AI Act requirements. Feedback and control: design mechanisms enabling users to challenge, correct, or escalat Professional Experience 7+ years in software engineering, solution architecture, data engineering, or AI related roles. 3+ years designing enterprise AI or ML solutions. Experience leading cross functional teams and client engagements. Additional Information Benefits Share in our success with our Quarterly Performance Related Profit Share Scheme. Strong career progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme. Flexible/remote working and support for life events and individual circumstances. Financial wellbeing initiatives including pension, private healthcare cover, life assurance, financial advice and an employee discount scheme. Employee wellbeing schemes including gym discounts, bike to work, fitness classes, mindfulness workshops, employee assistance programme and more; generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies. Educational assistance, incentivised certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Reward schemes including Version 1's Annual Excellence Awards & 'Call Out' platform. Environment, Social and Community First initiatives allowing involvement in local fundraising and development opportunities. Version 1 is an equal opportunities employer. We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring. If you need reasonable adjustments at any stage of the process, please contact . We will consider all requests carefully, respectfully and confidentially.
22/07/2026
Full time
Version 1 London, Birmingham, Manchester, Newcastle upon Tyne, Edinburgh, Belfast Job Description We are seeking an experienced AI Solution Architect to lead the design, architecture, and delivery of AI-powered solutions across client and internal projects. This role bridges business requirements, data science, software engineering, and cloud infrastructure to create scalable, secure, and production ready AI systems. The ideal candidate combines strong technical expertise with stakeholder management skills and can translate business challenges into practical AI solutions that deliver measurable value. Key Responsibilities Lead discovery workshops and requirements gathering with stakeholders. Design end to end AI solution architectures for Generative AI, Machine Learning, and Intelligent Automation initiatives. Define system integration patterns across enterprise applications, APIs, databases, and cloud services. Create technical architecture diagrams, solution designs, and implementation roadmaps. Evaluate AI technologies, platforms, and frameworks to recommend best fit solutions. AI Strategy & Advisory Advise clients and internal stakeholders on AI adoption strategies and use cases. Conduct AI feasibility assessments, proof of concepts, and technology evaluations. Develop responsible AI frameworks covering bias evaluation, model explainability, data privacy, and regulatory compliance including the EU AI Act. Identify opportunities for process optimisation through AI and automation. Delivery Leadership Provide technical leadership throughout project lifecycles. Collaborate with AI/ML Engineers, Data Scientists, Software Engineers, and Product Teams. Review solution designs and ensure alignment with enterprise architecture standards. Support deployment planning, risk management, and solution scalability across full delivery lifecycle. Stakeholder Management Present technical concepts to both technical and non technical audiences. Engage with executive stakeholders to align AI initiatives with business objectives. Produce solution proposals, statements of work, and technical documentation. Qualifications Technical Skills Strong understanding of Machine Learning and Generative AI architectures. Experience with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG). Knowledge of AI orchestration frameworks such as: LangChain LlamaIndex Semantic Kernel CrewAI Cloud platform expertise in one or more of these areas: AWS Microsoft Azure Google Cloud Platform API design and microservices architecture. Data architecture and integration experience. Familiarity with knowledge graphs, vector databases and knowledge management systems. Generative AI Experience Design and scale LLM based applications, including multi model routing, context management, and cost/latency optimisation. Prompt engineering strategies. Agentic AI systems. RAG design patterns, including chunking strategies, re ranking, hybrid search, and evaluation. Evaluation and monitoring frameworks covering hallucination detection, relevance scoring, and production drift monitoring. AI safety, governance, and compliance. Human Centred AI Design Trust architecture: design confidence scoring and uncertainty communication frameworks so users understand when AI is offering a recommendation versus a definitive answer; implement explainability mechanisms that build trust through transparency whilst maintaining appropriate scepticism about AI outputs. Human oversight: define clear automation boundaries distinguishing fully automated processes from human in the loop workflows; mandate human review pathways for high risk decisions in line with EU AI Act requirements. Feedback and control: design mechanisms enabling users to challenge, correct, or escalat Professional Experience 7+ years in software engineering, solution architecture, data engineering, or AI related roles. 3+ years designing enterprise AI or ML solutions. Experience leading cross functional teams and client engagements. Additional Information Benefits Share in our success with our Quarterly Performance Related Profit Share Scheme. Strong career progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme. Flexible/remote working and support for life events and individual circumstances. Financial wellbeing initiatives including pension, private healthcare cover, life assurance, financial advice and an employee discount scheme. Employee wellbeing schemes including gym discounts, bike to work, fitness classes, mindfulness workshops, employee assistance programme and more; generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies. Educational assistance, incentivised certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Reward schemes including Version 1's Annual Excellence Awards & 'Call Out' platform. Environment, Social and Community First initiatives allowing involvement in local fundraising and development opportunities. Version 1 is an equal opportunities employer. We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring. If you need reasonable adjustments at any stage of the process, please contact . We will consider all requests carefully, respectfully and confidentially.
