A leading software organization in London seeks a Senior Data Engineer to design and implement a modern cloud-based data platform. The role involves architecting data pipelines, ensuring data security, and collaborating with data teams. Candidates should have at least 5 years' experience in data engineering, with a strong background in Azure Databricks, Python, and data troubleshooting. This position offers a competitive salary, 25 days annual leave, and additional benefits in a hybrid work environment.
29/07/2026
Full time
A leading software organization in London seeks a Senior Data Engineer to design and implement a modern cloud-based data platform. The role involves architecting data pipelines, ensuring data security, and collaborating with data teams. Candidates should have at least 5 years' experience in data engineering, with a strong background in Azure Databricks, Python, and data troubleshooting. This position offers a competitive salary, 25 days annual leave, and additional benefits in a hybrid work environment.
Data Engineer Hybrid South Wales 3 months initially Outside IR35 IntaPeople are excited to be appointed to recruit an experienced Data Engineer for a team that needs additional project resource for an interim period of time. You will be joining a small data team in this area of the business which will work with external partners to build out the organisations data capability offering. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data -driven decisions. You ll work closely with the Head of Data Engineering to grow out this data function with the recruitment of further data engineering colleagues. You ll be exposed to a wide range of projects that include internal and external suppliers. Essential Skills Proven experience as a Data Engineer Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience with Microsoft Fabric Experience of using programming languages such as Python, Scala and SQL. Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure. Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Robust understanding of data governance, data quality, and metadata management. Experience of communicating technical information and data to a non-technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs. Key Responsibilities (at a glance): Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls. Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance, scalable storage, and robust integration and delivers adaptable and resource -efficient data processing, meeting the organisation s evolving analytical and operational demands. Work closely with data analysts, architects, devops Engineers, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs. Transform raw data into meaningful insights by developing and maintaining tailored ETL (Extract, Transform, Load) processes enabling customised processes, empowering stakeholders to make informed decisions based on high-quality, processed information Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs. Role overview Senior Data Engineer To come in and hit the ground running and start delivering quickly Expected to be initally 3months To be based in their modern offices 1 day per week with the wider team A chance to truly contribute to large scale digitalisation projects within Wales. Start date asap Virtual 1 stage interview IR35 status outside Please note, remote candidate or those living further afield will not be considered due to some office presence in South Wales. For more information click APPLY now or for a confidential chat call Nathan Handley on (phone number removed). This role is commutable from Swansea, Bridgend, Cardiff, Newport and Bristol.
29/07/2026
Contractor
Data Engineer Hybrid South Wales 3 months initially Outside IR35 IntaPeople are excited to be appointed to recruit an experienced Data Engineer for a team that needs additional project resource for an interim period of time. You will be joining a small data team in this area of the business which will work with external partners to build out the organisations data capability offering. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data -driven decisions. You ll work closely with the Head of Data Engineering to grow out this data function with the recruitment of further data engineering colleagues. You ll be exposed to a wide range of projects that include internal and external suppliers. Essential Skills Proven experience as a Data Engineer Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience with Microsoft Fabric Experience of using programming languages such as Python, Scala and SQL. Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure. Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Robust understanding of data governance, data quality, and metadata management. Experience of communicating technical information and data to a non-technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs. Key Responsibilities (at a glance): Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls. Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance, scalable storage, and robust integration and delivers adaptable and resource -efficient data processing, meeting the organisation s evolving analytical and operational demands. Work closely with data analysts, architects, devops Engineers, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs. Transform raw data into meaningful insights by developing and maintaining tailored ETL (Extract, Transform, Load) processes enabling customised processes, empowering stakeholders to make informed decisions based on high-quality, processed information Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs. Role overview Senior Data Engineer To come in and hit the ground running and start delivering quickly Expected to be initally 3months To be based in their modern offices 1 day per week with the wider team A chance to truly contribute to large scale digitalisation projects within Wales. Start date asap Virtual 1 stage interview IR35 status outside Please note, remote candidate or those living further afield will not be considered due to some office presence in South Wales. For more information click APPLY now or for a confidential chat call Nathan Handley on (phone number removed). This role is commutable from Swansea, Bridgend, Cardiff, Newport and Bristol.
London Hybrid (2-3 Days in Office) Full-Time The Opportunity A growing and well-funded software organisation is seeking a Senior Data Engineer to help design, build and secure its modern data platform. The business delivers technology solutions that support public sector and regulated organisations in improving operational efficiency and compliance. Following significant investment and expansion, the company is focused on strengthening its data infrastructure and scaling advanced analytics capabilities. This is an opportunity to play a key role in shaping a scalable, secure and high-performing data environment, working closely with engineering, analytics and product teams. The Role You will design, implement and secure a modern cloud-based data platform (Databricks, pipelines and governance frameworks), ensuring that data is: Accurate Accessible Secure and compliant Cost-effective at scale This is a hands on engineering role with architectural input, suited to someone comfortable building platforms from the ground up in production environments handling large scale datasets. Key Responsibilities Architect and build end to end data pipelines, data lakes and warehouses on Databricks (Azure environment) Integrate ETL/ELT tools and cloud services to create scalable data workflows Establish standardised processes for: Data modelling Quality assurance Versioning Orchestration (e.g. dbt, Airflow, Unity Catalog) Security & Governance Implement security best practices including: Role based access control (RBAC) Data encryption and masking Compliance with GDPR and relevant standards Support governance frameworks ensuring integrity and compliance at scale Performance & Optimisation Optimise platform performance, cost efficiency and scalability Support real time and large scale data processing Automate monitoring, alerting and recovery processes Drive CI/CD adoption for data pipelines and infrastructure as code Work closely with data scientists, analysts and business stakeholders to define data requirements and SLAs Contribute to proof of concept reporting where required Translate business needs into robust technical solutions Experience & Technical Skills 5+ years' experience in data engineering At least 2 years operating in a senior or lead capacity Proven experience building data platforms from scratch in production environments Strong experience with Azure Databricks, Spark and Python Experience with MySQL, PostgreSQL and MSSQL Strong experience troubleshooting complex data issues and optimising queries Experience working in agile, fast paced tech or data driven environments Experience with dbt, Airflow or similar orchestration tools Experience building basic reports for proof of concept work Personal Attributes Security first mindset with strong ethical data handling principles Comfortable operating in ambiguity and owning end to end delivery Strong analytical and problem solving skills Collaborative team player with strong communication skills Eager to stay current with emerging data technologies Committed to continuous improvement What's on Offer Competitive market salary 25 days annual leave Additional "Moments in Time" days Life assurance (4x base salary) Additional leave linked to length of service Diversity & Inclusion The organisation is an equal opportunities employer and makes recruitment decisions based on skills, qualifications and experience. Applications are welcomed from all suitably qualified candidates. Please note that applicants must have the right to work in the UK. Send us an email or give us a call to discuss your recruitment needs
29/07/2026
Full time
London Hybrid (2-3 Days in Office) Full-Time The Opportunity A growing and well-funded software organisation is seeking a Senior Data Engineer to help design, build and secure its modern data platform. The business delivers technology solutions that support public sector and regulated organisations in improving operational efficiency and compliance. Following significant investment and expansion, the company is focused on strengthening its data infrastructure and scaling advanced analytics capabilities. This is an opportunity to play a key role in shaping a scalable, secure and high-performing data environment, working closely with engineering, analytics and product teams. The Role You will design, implement and secure a modern cloud-based data platform (Databricks, pipelines and governance frameworks), ensuring that data is: Accurate Accessible Secure and compliant Cost-effective at scale This is a hands on engineering role with architectural input, suited to someone comfortable building platforms from the ground up in production environments handling large scale datasets. Key Responsibilities Architect and build end to end data pipelines, data lakes and warehouses on Databricks (Azure environment) Integrate ETL/ELT tools and cloud services to create scalable data workflows Establish standardised processes for: Data modelling Quality assurance Versioning Orchestration (e.g. dbt, Airflow, Unity Catalog) Security & Governance Implement security best practices including: Role based access control (RBAC) Data encryption and masking Compliance with GDPR and relevant standards Support governance frameworks ensuring integrity and compliance at scale Performance & Optimisation Optimise platform performance, cost efficiency and scalability Support real time and large scale data processing Automate monitoring, alerting and recovery processes Drive CI/CD adoption for data pipelines and infrastructure as code Work closely with data scientists, analysts and business stakeholders to define data requirements and SLAs Contribute to proof of concept reporting where required Translate business needs into robust technical solutions Experience & Technical Skills 5+ years' experience in data engineering At least 2 years operating in a senior or lead capacity Proven experience building data platforms from scratch in production environments Strong experience with Azure Databricks, Spark and Python Experience with MySQL, PostgreSQL and MSSQL Strong experience troubleshooting complex data issues and optimising queries Experience working in agile, fast paced tech or data driven environments Experience with dbt, Airflow or similar orchestration tools Experience building basic reports for proof of concept work Personal Attributes Security first mindset with strong ethical data handling principles Comfortable operating in ambiguity and owning end to end delivery Strong analytical and problem solving skills Collaborative team player with strong communication skills Eager to stay current with emerging data technologies Committed to continuous improvement What's on Offer Competitive market salary 25 days annual leave Additional "Moments in Time" days Life assurance (4x base salary) Additional leave linked to length of service Diversity & Inclusion The organisation is an equal opportunities employer and makes recruitment decisions based on skills, qualifications and experience. Applications are welcomed from all suitably qualified candidates. Please note that applicants must have the right to work in the UK. Send us an email or give us a call to discuss your recruitment needs
Description Our Senior Data Engineers enable public sector organisations to embrace a data driven approach by providing data platforms and services that are high quality, cost efficient, and tailored to clients' needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders. Your role at Made Tech As a Senior Data Engineer, you may play one or more roles according to our clients' needs. The role is very hands on and you'll support as a senior contributor for a project, focusing on both delivering engineering work as well as upskilling members of the client team. At other points, you might play more of a technical architect role and work with the larger MadeTech team to identify growth opportunities within the account. You'll need to have a drive to deliver outcomes for users. You'll make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria. Enthusiasm for learning and self development Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies Gathering and meeting the requirements of both clients and users on a data project Strong experience in IaC and able to guide how one could deploy infrastructure into different environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines, with an understanding how to create reusable libraries to encourage uniformity of approach across multiple data pipelines Able to document and present an end to end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.) To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics Experience in improving resilience in a project by checking for software vulnerabilities and implement appropriate testing strategies (unit, integration, data quality etc.) Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project Agile practices such as Scrum, XP, and/or Kanban Designing and implementing efficient data transformation processes at scale, both in batch and streaming use cases Owning the cloud infrastructure underpinning data systems through a DevOps approach Agile practices such as Scrum, XP, and/or Kanban People skills such as mentoring, supportive team player and performing line management duties To be able to demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders Desirable experience Experience in the following things isn't essential, but it's highly desirable! Working at a technology consultancy Working with Docker and virtual environments as part of the development and CI/CD process Working with senior stakeholders to gather requirements and keep them engaged Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Job Benefits Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates. We're committed to building a happy, inclusive and diverse workforce. Here are some of our most popular benefits listed below: 30 days Holiday - we offer 30 days of paid annual leave + bank holidays! Flexible Parental Leave - we offer flexible parental leave options Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' of continuous UK residency. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. About Made Tech Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world class digital products and services. Today, you can see our services (and people!) in action, such as the design and build of the Homes for Ukraine service, delivered in 2 weeks. We're helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services we're making it more accessible, such as children needing mental health support. All this great experience is enabling us to support new areas, like energy. We're helping to drive better environmental outcomes by improving network performance through real time asset monitoring, which means less wasted energy. We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards. This is a recognition of our many great initiatives, such as our open access employee handbook that we launched five years ago.
28/07/2026
Full time
Description Our Senior Data Engineers enable public sector organisations to embrace a data driven approach by providing data platforms and services that are high quality, cost efficient, and tailored to clients' needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders. Your role at Made Tech As a Senior Data Engineer, you may play one or more roles according to our clients' needs. The role is very hands on and you'll support as a senior contributor for a project, focusing on both delivering engineering work as well as upskilling members of the client team. At other points, you might play more of a technical architect role and work with the larger MadeTech team to identify growth opportunities within the account. You'll need to have a drive to deliver outcomes for users. You'll make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria. Enthusiasm for learning and self development Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies Gathering and meeting the requirements of both clients and users on a data project Strong experience in IaC and able to guide how one could deploy infrastructure into different environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines, with an understanding how to create reusable libraries to encourage uniformity of approach across multiple data pipelines Able to document and present an end to end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.) To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics Experience in improving resilience in a project by checking for software vulnerabilities and implement appropriate testing strategies (unit, integration, data quality etc.) Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project Agile practices such as Scrum, XP, and/or Kanban Designing and implementing efficient data transformation processes at scale, both in batch and streaming use cases Owning the cloud infrastructure underpinning data systems through a DevOps approach Agile practices such as Scrum, XP, and/or Kanban People skills such as mentoring, supportive team player and performing line management duties To be able to demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders Desirable experience Experience in the following things isn't essential, but it's highly desirable! Working at a technology consultancy Working with Docker and virtual environments as part of the development and CI/CD process Working with senior stakeholders to gather requirements and keep them engaged Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Job Benefits Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates. We're committed to building a happy, inclusive and diverse workforce. Here are some of our most popular benefits listed below: 30 days Holiday - we offer 30 days of paid annual leave + bank holidays! Flexible Parental Leave - we offer flexible parental leave options Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' of continuous UK residency. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. About Made Tech Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world class digital products and services. Today, you can see our services (and people!) in action, such as the design and build of the Homes for Ukraine service, delivered in 2 weeks. We're helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services we're making it more accessible, such as children needing mental health support. All this great experience is enabling us to support new areas, like energy. We're helping to drive better environmental outcomes by improving network performance through real time asset monitoring, which means less wasted energy. We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards. This is a recognition of our many great initiatives, such as our open access employee handbook that we launched five years ago.
JOB DESCRIPTION Are you passionate about transforming data into actionable insights? Join our Transformation & Innovation team, where you'll help shape the future of financial analysis at J.P. Morgan Chase. You'll have the opportunity to grow your career, collaborate with talented colleagues, and make a real impact by building data products that empower our Planning & Analysis community. We value your curiosity, creativity, and drive to deliver solutions that make data accessible and meaningful. Overview As a Planning and Analysis Data Modeler - Senior Associate within the Corporate Financial Analysis team, you will design and implement end to end data models that enhance accessibility and understanding for a diverse range of users. You will work closely with finance, analytics, and technology teams to build and refine data models, making information easier to use and standardizing data across the organization. Your role is central to improving data pipelines and supporting innovation, helping us deliver high quality solutions that drive business performance. Job responsibilities Design, develop, test, and refine data models and analytic prototypes Solve complex data challenges at the intersection of finance and technology Support the development of cloud based data lakehouse solutions for Planning & Analysis Guide and support data consumers in leveraging data products for analytics and planning Utilize AI assisted coding tools to accelerate development and optimize SQL Identify opportunities to embed AI into Planning & Analysis workflows Work with diverse data sets to support various Planning & Analysis processes Collaborate with senior team members on solution design Inspire innovation and champion change across teams within J.P. Morgan Chase Required qualifications, capabilities, and skills Strong analytical and problem solving skills with attention to detail Hands on experience building and prototyping data models to address user needs Proficient in SQL and Python for data analysis, engineering, and transformation Relevant experience developing, testing, and refining data models using dimensional and relational approaches Curious mindset with a drive for continuous improvement Familiarity with prompt engineering principles and LLM based tools Effective communication skills to present data findings and support users Experience with ETL/ELT processes and architecture in data pipelines Experience building models for dashboard or cube consumption Familiarity with cloud based data lake platforms such as AWS, Azure, or Google Cloud Bachelor's degree in computer science, data science, information systems, business analytics, or related discipline Preferred qualifications, capabilities, and skills Experience with Databricks and notebook based development Experience working with financial and workforce datasets Equal Employment Opportunity We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
28/07/2026
Full time
JOB DESCRIPTION Are you passionate about transforming data into actionable insights? Join our Transformation & Innovation team, where you'll help shape the future of financial analysis at J.P. Morgan Chase. You'll have the opportunity to grow your career, collaborate with talented colleagues, and make a real impact by building data products that empower our Planning & Analysis community. We value your curiosity, creativity, and drive to deliver solutions that make data accessible and meaningful. Overview As a Planning and Analysis Data Modeler - Senior Associate within the Corporate Financial Analysis team, you will design and implement end to end data models that enhance accessibility and understanding for a diverse range of users. You will work closely with finance, analytics, and technology teams to build and refine data models, making information easier to use and standardizing data across the organization. Your role is central to improving data pipelines and supporting innovation, helping us deliver high quality solutions that drive business performance. Job responsibilities Design, develop, test, and refine data models and analytic prototypes Solve complex data challenges at the intersection of finance and technology Support the development of cloud based data lakehouse solutions for Planning & Analysis Guide and support data consumers in leveraging data products for analytics and planning Utilize AI assisted coding tools to accelerate development and optimize SQL Identify opportunities to embed AI into Planning & Analysis workflows Work with diverse data sets to support various Planning & Analysis processes Collaborate with senior team members on solution design Inspire innovation and champion change across teams within J.P. Morgan Chase Required qualifications, capabilities, and skills Strong analytical and problem solving skills with attention to detail Hands on experience building and prototyping data models to address user needs Proficient in SQL and Python for data analysis, engineering, and transformation Relevant experience developing, testing, and refining data models using dimensional and relational approaches Curious mindset with a drive for continuous improvement Familiarity with prompt engineering principles and LLM based tools Effective communication skills to present data findings and support users Experience with ETL/ELT processes and architecture in data pipelines Experience building models for dashboard or cube consumption Familiarity with cloud based data lake platforms such as AWS, Azure, or Google Cloud Bachelor's degree in computer science, data science, information systems, business analytics, or related discipline Preferred qualifications, capabilities, and skills Experience with Databricks and notebook based development Experience working with financial and workforce datasets Equal Employment Opportunity We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Tower (tower.dev) is a Python-native serverless data platform company. Data teams write plain Python, and Tower handles packaging, dependency resolution, scheduling, and execution across a serverless runtime built on Apache Iceberg. The product aims to let local Python scripts run in production at scale without a Databricks detour. The team is small and senior, split between London and Berlin. Senior Backend / Platform Engineer (Hybrid) will work on deep systems including scheduling, distributed
28/07/2026
Full time
Tower (tower.dev) is a Python-native serverless data platform company. Data teams write plain Python, and Tower handles packaging, dependency resolution, scheduling, and execution across a serverless runtime built on Apache Iceberg. The product aims to let local Python scripts run in production at scale without a Databricks detour. The team is small and senior, split between London and Berlin. Senior Backend / Platform Engineer (Hybrid) will work on deep systems including scheduling, distributed
Introduction Join us to shape the future of AI/ML data platforms, where your expertise will help create resilient and market leading solutions. You will have the opportunity to collaborate with innovators across our global network, driving strategic change and mentoring others. We value your skills in solving complex challenges and fostering a culture of reliability and growth. At JPMorganChase, your impact will reach far beyond your team, opening doors to career advancement and meaningful relationships. Job Overview As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building scalable and resilient data solutions. You will engage in root cause analysis, production changes, and operational improvements, while supporting budgetary and staffing decisions. You will mentor team members and partner with colleagues across the organization to drive strategic change. Your contributions will help shape a collaborative, innovative, and high performing team culture. Job Responsibilities Demonstrate expertise in application development and support across technologies such as Databricks, Snowflake, AWS, and Kubernetes. Coordinate incident management coverage to ensure effective resolution of application issues. Collaborate with cross functional teams to perform root cause analysis and implement production changes. Develop and support AI/ML solutions for troubleshooting and incident resolution. Mentor and guide team members to foster growth and drive strategic change. Build and maintain scalable, resilient, and market leading data solutions. Support budgetary and staffing considerations to optimize team performance. Engage in operational stability and disaster recovery planning. Implement automation tools to reduce toil and improve efficiency. Ensure compliance with risk controls and company wide standards. Build meaningful relationships across teams to achieve common goals. Required Qualifications Proficient in site reliability culture and principles, with experience implementing site reliability within applications or platforms. Skilled in running production incident calls and managing incident resolution. Experienced in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk. Strong understanding of SLI/SLO/SLA and Error Budgets. Proficient in Python or PySpark for AI/ML modeling. Able to reduce toil by building automation tools for repeated tasks. Hands on experience in system design, resiliency, testing, operational stability, and disaster recovery. Awareness of risk controls and compliance with departmental and company wide standards. Collaborative team player with the ability to build meaningful relationships. Preferred Qualifications Experience in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies. AWS and Databricks certifications. Advanced knowledge of AI/ML troubleshooting and incident resolution. Familiarity with budgetary and staffing optimization. Experience mentoring and guiding team members. Strong communication and interpersonal skills. Demonstrated ability to drive strategic change across teams. Benefits We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
28/07/2026
Full time
Introduction Join us to shape the future of AI/ML data platforms, where your expertise will help create resilient and market leading solutions. You will have the opportunity to collaborate with innovators across our global network, driving strategic change and mentoring others. We value your skills in solving complex challenges and fostering a culture of reliability and growth. At JPMorganChase, your impact will reach far beyond your team, opening doors to career advancement and meaningful relationships. Job Overview As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building scalable and resilient data solutions. You will engage in root cause analysis, production changes, and operational improvements, while supporting budgetary and staffing decisions. You will mentor team members and partner with colleagues across the organization to drive strategic change. Your contributions will help shape a collaborative, innovative, and high performing team culture. Job Responsibilities Demonstrate expertise in application development and support across technologies such as Databricks, Snowflake, AWS, and Kubernetes. Coordinate incident management coverage to ensure effective resolution of application issues. Collaborate with cross functional teams to perform root cause analysis and implement production changes. Develop and support AI/ML solutions for troubleshooting and incident resolution. Mentor and guide team members to foster growth and drive strategic change. Build and maintain scalable, resilient, and market leading data solutions. Support budgetary and staffing considerations to optimize team performance. Engage in operational stability and disaster recovery planning. Implement automation tools to reduce toil and improve efficiency. Ensure compliance with risk controls and company wide standards. Build meaningful relationships across teams to achieve common goals. Required Qualifications Proficient in site reliability culture and principles, with experience implementing site reliability within applications or platforms. Skilled in running production incident calls and managing incident resolution. Experienced in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk. Strong understanding of SLI/SLO/SLA and Error Budgets. Proficient in Python or PySpark for AI/ML modeling. Able to reduce toil by building automation tools for repeated tasks. Hands on experience in system design, resiliency, testing, operational stability, and disaster recovery. Awareness of risk controls and compliance with departmental and company wide standards. Collaborative team player with the ability to build meaningful relationships. Preferred Qualifications Experience in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies. AWS and Databricks certifications. Advanced knowledge of AI/ML troubleshooting and incident resolution. Familiarity with budgetary and staffing optimization. Experience mentoring and guiding team members. Strong communication and interpersonal skills. Demonstrated ability to drive strategic change across teams. Benefits We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
DraftKings is looking for a Senior Data Platform Engineer to enhance our data capabilities. In this role, you will own and operate the Databricks infrastructure, ensuring its performance and reliability. You'll build cloud infrastructure with AWS and Terraform while leading engineering projects from design to implementation. The ideal candidate should have 3+ years of relevant experience, strong skills in Python, and knowledge of ML libraries. Join us and shape the technology driving our gaming experiences.
27/07/2026
Full time
DraftKings is looking for a Senior Data Platform Engineer to enhance our data capabilities. In this role, you will own and operate the Databricks infrastructure, ensuring its performance and reliability. You'll build cloud infrastructure with AWS and Terraform while leading engineering projects from design to implementation. The ideal candidate should have 3+ years of relevant experience, strong skills in Python, and knowledge of ML libraries. Join us and shape the technology driving our gaming experiences.
Req ID: FEQ126R19 Location: London The Opportunity: Shaping The Future of Data & AI With Our Largest Customers Data & AI are the engine driving transformation across our customer base. We are seeking a strategic technical leader to collaborate with our most significant, complex enterprise customers to accelerate that transformation across the UK & Ireland. As a Lead Solutions Architect in the UKI Field Engineering practice, you will be an expert in driving organisational transformation through technology, data and AI. You will work with Databricks UKI leadership to identify and engage a select group of customers at the executive level to advise on and drive Databricks adoption to achieve their business objectives. You will demonstrate our builder culture to the highest standards. At Databricks, we believe in "show, not tell", and you will leverage the latest in Data & AI technologies to inspire customer CTOs, VPs and senior leaders to think bigger and go further in democratising Data & AI across their organisations. You will act as a peer leader for the Databricks UKI technical communities, demonstrating thought leadership, working to establish and maintain best practices and collaborating across our leadership teams to drive collective success and develop the next generation of solutions architecture talent. Why You'll Love This Role How You Will Make an Impact Trusted Advisory: You will build authentic partnerships with stakeholders-from developers to C-suite executives-helping them understand the vision of the Databricks Data Intelligence Platform. Strategic Planning: Partner closely with Account Executives & UKI Leadership to design engagement strategies that address the specific needs of our largest customers. Team Coaching: Act as a mentor for the wider practice, guiding them on how to approach complex customer scenarios and engage at an executive level with credibility. Ecosystem Integration: Solution complex engagements involving the broader cloud ecosystem (AWS, Azure, GCP) and third-party tools to ensure a seamless experience for the customer. Thought Leadership: Elevate your profile by leading executive engagement, creating customer-facing content, and speaking at industry events. What We Are Looking For Enterprise Architecture: Experience influencing technology change at a global-scale enterprise level, with a particular focus on Data & AI strategy and implementation. Commercial Awareness: Deep appreciation of customer and vendor commercial motivations and sales cycles. Market Familiarity: Understanding and experience of key Data & AI technology market players, including the major hyperscalers (AWS, Azure, GCP) and key ISVs. Builder Mentality: A bias towards "showing" rather than "telling", preferring to inspire stakeholders through built examples. Technical Expertise: Deep experience in core data & AI technologies, including languages (Python, SQL), frameworks (Apache Spark) and platforms (Databricks, etc). Collaboration: You can orchestrate diverse teams to achieve a common goal and explain complex tech to non-technical leaders. Travel: This role requires travel to customer sites in the UK and London offices (approx. 20-30%). We support flexible scheduling to help manage this travel alongside your personal life. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
27/07/2026
Full time
Req ID: FEQ126R19 Location: London The Opportunity: Shaping The Future of Data & AI With Our Largest Customers Data & AI are the engine driving transformation across our customer base. We are seeking a strategic technical leader to collaborate with our most significant, complex enterprise customers to accelerate that transformation across the UK & Ireland. As a Lead Solutions Architect in the UKI Field Engineering practice, you will be an expert in driving organisational transformation through technology, data and AI. You will work with Databricks UKI leadership to identify and engage a select group of customers at the executive level to advise on and drive Databricks adoption to achieve their business objectives. You will demonstrate our builder culture to the highest standards. At Databricks, we believe in "show, not tell", and you will leverage the latest in Data & AI technologies to inspire customer CTOs, VPs and senior leaders to think bigger and go further in democratising Data & AI across their organisations. You will act as a peer leader for the Databricks UKI technical communities, demonstrating thought leadership, working to establish and maintain best practices and collaborating across our leadership teams to drive collective success and develop the next generation of solutions architecture talent. Why You'll Love This Role How You Will Make an Impact Trusted Advisory: You will build authentic partnerships with stakeholders-from developers to C-suite executives-helping them understand the vision of the Databricks Data Intelligence Platform. Strategic Planning: Partner closely with Account Executives & UKI Leadership to design engagement strategies that address the specific needs of our largest customers. Team Coaching: Act as a mentor for the wider practice, guiding them on how to approach complex customer scenarios and engage at an executive level with credibility. Ecosystem Integration: Solution complex engagements involving the broader cloud ecosystem (AWS, Azure, GCP) and third-party tools to ensure a seamless experience for the customer. Thought Leadership: Elevate your profile by leading executive engagement, creating customer-facing content, and speaking at industry events. What We Are Looking For Enterprise Architecture: Experience influencing technology change at a global-scale enterprise level, with a particular focus on Data & AI strategy and implementation. Commercial Awareness: Deep appreciation of customer and vendor commercial motivations and sales cycles. Market Familiarity: Understanding and experience of key Data & AI technology market players, including the major hyperscalers (AWS, Azure, GCP) and key ISVs. Builder Mentality: A bias towards "showing" rather than "telling", preferring to inspire stakeholders through built examples. Technical Expertise: Deep experience in core data & AI technologies, including languages (Python, SQL), frameworks (Apache Spark) and platforms (Databricks, etc). Collaboration: You can orchestrate diverse teams to achieve a common goal and explain complex tech to non-technical leaders. Travel: This role requires travel to customer sites in the UK and London offices (approx. 20-30%). We support flexible scheduling to help manage this travel alongside your personal life. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Data Platform Engineer You'll help build the backbone of DraftKings' machine learning capabilities. You'll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering - working shoulder to shoulder with Data Science, ML Engineering, and Infrastructure teams to deliver tools and systems that enable data driven decision making at scale. What you'll do as a Senior Data Platform Engineer Own and operate our Databricks infrastructure to ensure performance, reliability, and cost efficiency. Build and manage cloud infrastructure using AWS and infrastructure as code tools like Terraform. Architect and document scalable systems that support reproducible and automated ML workflows. Collaborate with Data Scientists, Data Engineers, ML Engineers, and Infra partners to align platform features with business needs. Lead complex engineering projects from design through implementation and long term support. Continuously assess and improve platform usability, efficiency, and scalability based on industry best practices. Champion technical excellence through peer reviews, mentorship, and deep documentation. What you'll bring At least 3+ years of experience in ML Platform, Data Platform, Infrastructure, or Data Engineering roles. Proven hands on experience with Databricks in a production environment. Strong knowledge of infrastructure as code, especially with Terraform or Pulumi. Proficiency with AWS and container technologies such as Docker and Kubernetes. Solid Python skills and familiarity with ML libraries and tooling (e.g., MLflow, pandas, scikit learn). A track record of owning and operating complex systems at scale. Strong communication skills with the ability to produce clear, technical documentation. Experience working cross functionally in fast paced, collaborative environments. Company Overview DraftKings Inc. (Nasdaq: DKNG) is a digital sports entertainment and gaming company headquartered in Boston. We are a publicly traded technology company committed to responsibly creating the world's favorite games and betting experiences.
27/07/2026
Full time
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Data Platform Engineer You'll help build the backbone of DraftKings' machine learning capabilities. You'll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering - working shoulder to shoulder with Data Science, ML Engineering, and Infrastructure teams to deliver tools and systems that enable data driven decision making at scale. What you'll do as a Senior Data Platform Engineer Own and operate our Databricks infrastructure to ensure performance, reliability, and cost efficiency. Build and manage cloud infrastructure using AWS and infrastructure as code tools like Terraform. Architect and document scalable systems that support reproducible and automated ML workflows. Collaborate with Data Scientists, Data Engineers, ML Engineers, and Infra partners to align platform features with business needs. Lead complex engineering projects from design through implementation and long term support. Continuously assess and improve platform usability, efficiency, and scalability based on industry best practices. Champion technical excellence through peer reviews, mentorship, and deep documentation. What you'll bring At least 3+ years of experience in ML Platform, Data Platform, Infrastructure, or Data Engineering roles. Proven hands on experience with Databricks in a production environment. Strong knowledge of infrastructure as code, especially with Terraform or Pulumi. Proficiency with AWS and container technologies such as Docker and Kubernetes. Solid Python skills and familiarity with ML libraries and tooling (e.g., MLflow, pandas, scikit learn). A track record of owning and operating complex systems at scale. Strong communication skills with the ability to produce clear, technical documentation. Experience working cross functionally in fast paced, collaborative environments. Company Overview DraftKings Inc. (Nasdaq: DKNG) is a digital sports entertainment and gaming company headquartered in Boston. We are a publicly traded technology company committed to responsibly creating the world's favorite games and betting experiences.
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
27/07/2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
27/07/2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
JOB DESCRIPTION Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Software Engineer II at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. Job Responsibilities Execute well defined components of cloud native platform services, AI applications, and supporting tooling with minimal guidance. Contribute to reusable platform components, libraries, and templates that other teams across ICB compose into their own AI use cases. Apply established resilient patterns within your services; elevate risks or gaps to senior engineers. Develop secure code to protect our customers and ourselves from malicious actors. Investigate and remediate issues within your scope; elevate appropriately; contribute to preventing recurrence. Support release processes aiming for zero downtime, following team standards. Contribute to observability for the platform components and applications you work on; raise anomalies for squad resolution. Contribute to ensuring the platform components and applications you work on meet the needs of the developers and teams who use them, within your scope. Maintain and continuously improve the platform components and AI applications you ship. Embed controls, compliance, and security into the components and applications you build, so that teams adopting them meet their obligations by default. Provide well structured, timely updates on Jira stories to keep the squad informed of progress and issues. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and applied experience. Recent hands on professional experience as a back end software engineer. Experience coding in recent versions of Java and Python programming languages. Experience designing and implementing effective tests (unit, component, integration, end to end, performance, etc.). Excellent written and verbal communication skills in English. Familiarity with advanced AI and ML concepts, such as model serving, feature retrieval, Retrieval Augmented Generation (RAG), and Model Context Protocol (MCP). Strong interest in building generative AI applications and tooling. Experience with cloud technologies and distributed systems, RESTful APIs, and web technologies. Preferred Qualifications, Capabilities, And Skills Background in STEM with exposure to machine learning systems. Experience with MLOps frameworks and platforms like MLflow, Amazon SageMaker, Databricks, BentoML, or Arize is a plus. Experience with AI frameworks like LangChain, LangGraph, or Pydantic AI is a plus. Hands on experience with cloud computing platforms like AWS, Azure, or GCP. Experience working in a highly regulated environment or industry. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
27/07/2026
Full time
JOB DESCRIPTION Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Software Engineer II at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. Job Responsibilities Execute well defined components of cloud native platform services, AI applications, and supporting tooling with minimal guidance. Contribute to reusable platform components, libraries, and templates that other teams across ICB compose into their own AI use cases. Apply established resilient patterns within your services; elevate risks or gaps to senior engineers. Develop secure code to protect our customers and ourselves from malicious actors. Investigate and remediate issues within your scope; elevate appropriately; contribute to preventing recurrence. Support release processes aiming for zero downtime, following team standards. Contribute to observability for the platform components and applications you work on; raise anomalies for squad resolution. Contribute to ensuring the platform components and applications you work on meet the needs of the developers and teams who use them, within your scope. Maintain and continuously improve the platform components and AI applications you ship. Embed controls, compliance, and security into the components and applications you build, so that teams adopting them meet their obligations by default. Provide well structured, timely updates on Jira stories to keep the squad informed of progress and issues. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and applied experience. Recent hands on professional experience as a back end software engineer. Experience coding in recent versions of Java and Python programming languages. Experience designing and implementing effective tests (unit, component, integration, end to end, performance, etc.). Excellent written and verbal communication skills in English. Familiarity with advanced AI and ML concepts, such as model serving, feature retrieval, Retrieval Augmented Generation (RAG), and Model Context Protocol (MCP). Strong interest in building generative AI applications and tooling. Experience with cloud technologies and distributed systems, RESTful APIs, and web technologies. Preferred Qualifications, Capabilities, And Skills Background in STEM with exposure to machine learning systems. Experience with MLOps frameworks and platforms like MLflow, Amazon SageMaker, Databricks, BentoML, or Arize is a plus. Experience with AI frameworks like LangChain, LangGraph, or Pydantic AI is a plus. Hands on experience with cloud computing platforms like AWS, Azure, or GCP. Experience working in a highly regulated environment or industry. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Senior Data Engineer Who We Are Simple Machines is a global, independent technology consultancy operating across Sydney, New Zealand, London, and Poland. We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of Data Engineering, Software Engineering and AI. We work with enterprises, scale-ups, and government to turn messy, high-value data into products, platforms, and decisions that actually move the needle. We don't do generic. We build things that matter - We engineer data to life . The Role This is a hands on senior engineering role, not an architecture only seat and not a support function. You'll be responsible for technical direction, platform design and architectural decision making. You'll design and build greenfield data platforms, real-time pipelines, and data products for clients who are serious about using data properly. You'll work in small, high calibre teams and operate close to both the problem and the client. If you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes - this is your lane. What You'll Be Doing Lead Platform & Architecture Design Own the end-to-end architecture of modern, cloud native data platforms Design scalable data ecosystems using data mesh, data products, and data contracts Make high impact architectural decisions across ingestion, storage, processing, and access layers Ensure platforms are secure, compliant, and production grade by design Build Modern Data Platforms Design and deliver cloud native data platforms using Databricks, Snowflake, AWS, and GCP Apply modern architectural patterns: data mesh, data products, and data contracts Integrate deeply with client systems to enable scalable, consumer oriented data access Develop High-Performance Pipelines Build and optimise batch and real time pipelines Work with streaming and event driven tech such as Kafka, Flink, Kinesis, Pub/Sub Orchestrate workflows using Airflow, Dataflow, Glue Work at Scale Process and transform large datasets using Spark and Flink Design systems that perform in production - not just on paper Own Data Storage & Performance Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB) Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro) Cloud, Security & Governance Implement secure, compliant data solutions with security by design Embed governance without killing developer velocity Consult and Influence Work directly with clients to understand problems and shape solutions Translate business needs into pragmatic engineering decisions Act as a trusted technical advisor, not just an order taker Technical Leadership & Quality Set engineering standards, patterns, and best practices across teams Review designs and code, providing clear technical direction and mentorship Raise the bar on data quality, testing, observability, and operational excellence What We're Looking For Core Engineering Strength Strong Python and SQL Deep experience with Spark and modern data platforms (Databricks / Snowflake) Solid grasp of cloud data services (AWS or GCP) Architecture & Design Judgement Demonstrated ownership of large-scale data platform architectures Strong data modelling skills and architectural decision making ability Comfortable balancing trade offs between performance, cost, and complexity Data Platform Experience Built and operated large scale data pipelines in production Strong data modelling capability and architectural judgement Comfortable with multiple storage technologies and formats Engineering Discipline Infrastructure-as-code experience (Terraform, Pulumi) CI/CD pipelines using tools like GitHub Actions, ArgoCD Data testing and quality frameworks (dbt, Great Expectations, Soda) Delivery & Consulting Mindset Experience in consulting or professional services environments Strong consulting instincts - able to challenge assumptions and guide clients toward better outcomes Comfortable mentoring senior engineers and influencing technical culture Why Simple Machines You'll work on interesting, high-impact problems You'll build modern platforms, not maintain legacy mess You'll be surrounded by senior engineers who actually know their craft You'll have autonomy, influence, and room to grow If you're a senior data engineer who wants to build properly, think clearly, and deliver real outcomes - we should talk.
27/07/2026
Full time
Senior Data Engineer Who We Are Simple Machines is a global, independent technology consultancy operating across Sydney, New Zealand, London, and Poland. We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of Data Engineering, Software Engineering and AI. We work with enterprises, scale-ups, and government to turn messy, high-value data into products, platforms, and decisions that actually move the needle. We don't do generic. We build things that matter - We engineer data to life . The Role This is a hands on senior engineering role, not an architecture only seat and not a support function. You'll be responsible for technical direction, platform design and architectural decision making. You'll design and build greenfield data platforms, real-time pipelines, and data products for clients who are serious about using data properly. You'll work in small, high calibre teams and operate close to both the problem and the client. If you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes - this is your lane. What You'll Be Doing Lead Platform & Architecture Design Own the end-to-end architecture of modern, cloud native data platforms Design scalable data ecosystems using data mesh, data products, and data contracts Make high impact architectural decisions across ingestion, storage, processing, and access layers Ensure platforms are secure, compliant, and production grade by design Build Modern Data Platforms Design and deliver cloud native data platforms using Databricks, Snowflake, AWS, and GCP Apply modern architectural patterns: data mesh, data products, and data contracts Integrate deeply with client systems to enable scalable, consumer oriented data access Develop High-Performance Pipelines Build and optimise batch and real time pipelines Work with streaming and event driven tech such as Kafka, Flink, Kinesis, Pub/Sub Orchestrate workflows using Airflow, Dataflow, Glue Work at Scale Process and transform large datasets using Spark and Flink Design systems that perform in production - not just on paper Own Data Storage & Performance Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB) Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro) Cloud, Security & Governance Implement secure, compliant data solutions with security by design Embed governance without killing developer velocity Consult and Influence Work directly with clients to understand problems and shape solutions Translate business needs into pragmatic engineering decisions Act as a trusted technical advisor, not just an order taker Technical Leadership & Quality Set engineering standards, patterns, and best practices across teams Review designs and code, providing clear technical direction and mentorship Raise the bar on data quality, testing, observability, and operational excellence What We're Looking For Core Engineering Strength Strong Python and SQL Deep experience with Spark and modern data platforms (Databricks / Snowflake) Solid grasp of cloud data services (AWS or GCP) Architecture & Design Judgement Demonstrated ownership of large-scale data platform architectures Strong data modelling skills and architectural decision making ability Comfortable balancing trade offs between performance, cost, and complexity Data Platform Experience Built and operated large scale data pipelines in production Strong data modelling capability and architectural judgement Comfortable with multiple storage technologies and formats Engineering Discipline Infrastructure-as-code experience (Terraform, Pulumi) CI/CD pipelines using tools like GitHub Actions, ArgoCD Data testing and quality frameworks (dbt, Great Expectations, Soda) Delivery & Consulting Mindset Experience in consulting or professional services environments Strong consulting instincts - able to challenge assumptions and guide clients toward better outcomes Comfortable mentoring senior engineers and influencing technical culture Why Simple Machines You'll work on interesting, high-impact problems You'll build modern platforms, not maintain legacy mess You'll be surrounded by senior engineers who actually know their craft You'll have autonomy, influence, and room to grow If you're a senior data engineer who wants to build properly, think clearly, and deliver real outcomes - we should talk.
Internetwork Expert is looking for a Senior Data Engineer who will take charge of designing and implementing scalable data platforms. You'll work closely with clients to craft solutions that drive real business outcomes. Your role encompasses leading architecture design, optimizing data pipelines, and ensuring platforms remain secure and compliant. The ideal candidate will have deep expertise in Python and SQL, a solid understanding of cloud services such as AWS or GCP, and experience with modern data platforms including Databricks and Snowflake. This role offers an opportunity to work on high-impact projects in a collaborative environment.
27/07/2026
Full time
Internetwork Expert is looking for a Senior Data Engineer who will take charge of designing and implementing scalable data platforms. You'll work closely with clients to craft solutions that drive real business outcomes. Your role encompasses leading architecture design, optimizing data pipelines, and ensuring platforms remain secure and compliant. The ideal candidate will have deep expertise in Python and SQL, a solid understanding of cloud services such as AWS or GCP, and experience with modern data platforms including Databricks and Snowflake. This role offers an opportunity to work on high-impact projects in a collaborative environment.
Cacheflow, based in London, is seeking a skilled Data Solutions Architect to engage with complex customers, driving the adoption of the Databricks Data Intelligence Platform. In this role, you will develop customer engagement strategies, influence stakeholders, and act as a trusted advisor for significant data analytics architecture. Requires technical expertise in Data Engineering or AI, excellent customer interaction skills, and the ability to thrive in challenging environments. Pyton and SQL knowledge preferred. Up to 60% travel is expected.
27/07/2026
Full time
Cacheflow, based in London, is seeking a skilled Data Solutions Architect to engage with complex customers, driving the adoption of the Databricks Data Intelligence Platform. In this role, you will develop customer engagement strategies, influence stakeholders, and act as a trusted advisor for significant data analytics architecture. Requires technical expertise in Data Engineering or AI, excellent customer interaction skills, and the ability to thrive in challenging environments. Pyton and SQL knowledge preferred. Up to 60% travel is expected.
Job ID: FEQ427R333 Location: London, United Kingdom Industry: Retail/CPG (UKI Enterprise) Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have Databricks or other relevant Cloud/Data certifications. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please consult your local HR representative. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
27/07/2026
Full time
Job ID: FEQ427R333 Location: London, United Kingdom Industry: Retail/CPG (UKI Enterprise) Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have Databricks or other relevant Cloud/Data certifications. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please consult your local HR representative. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Job Description Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement. As a Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems Develop secure, high-quality production code for data-intensive applications and review code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Drive communities of practice across Software Engineering to promote new and leading-edge technologies Foster a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands on experience designing, implementing, testing, and ensuring operational stability of large scale enterprise data platforms Advanced skills in one or more programming languages such as Java, Python, C/C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Demonstrated experience leading effective use of enterprise authorized AI assist ed software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems Equal Opportunity We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
27/07/2026
Full time
Job Description Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement. As a Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems Develop secure, high-quality production code for data-intensive applications and review code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Drive communities of practice across Software Engineering to promote new and leading-edge technologies Foster a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands on experience designing, implementing, testing, and ensuring operational stability of large scale enterprise data platforms Advanced skills in one or more programming languages such as Java, Python, C/C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Demonstrated experience leading effective use of enterprise authorized AI assist ed software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems Equal Opportunity We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Senior Cloud Platform EngineerApplylocations: Cannon Street, Londontime type: Full timeposted on: Posted 24 Days Agojob requisition id: R\_17210 Job Title Senior Cloud Platform Engineer Job Description About IG GroupIG Group (LSEG: IGG) is a leading global fintech company, established in 1974 and headquartered in London. As an innovative member of the FTSE 100, IG Group provides dynamic online trading platforms and a robust educational ecosystem, empowering ambitious individuals worldwide in their pursuit of financial freedom. With operations spanning eighteen countries across Europe, Africa, Asia-Pacific, the Middle East and North America, IG Group offers clients access to approximately 19,000 financial markets, including shares, forex, indices, commodities and crypto.IG is at a pivotal moment. We are moving with real pace and ambition rethinking how we serve clients, how we operate, and how we use technology to do both better. For people who want to be part of building something, rather than maintaining it, this is an unusually good time to join. Your Team You'll be joining a small, close-knit Data platform engineering team of three to five engineers. We're a team that takes quality seriously, looks out for each other, and gets things done without a lot of ceremony. Everyone brings something different across cloud infrastructure, data platform, and developer tooling and we rely on that range to solve problems well.We work across time zones with colleagues in Bengaluru and Kraków, so clear communication and good async habits matter. You won't be siloed into a narrow lane in a team of this size, everyone gets exposure to the breadth of what we do, and everyone's opinion on how we do it counts. Your role in the Team's Success In a small team, a senior hire has an outsized impact - and this role is no different. Here's what success looks like: You raise the floor. Your experience with GCP and AWS means the team spends less time firefighting and more time building. You bring rigour to how we design and review infrastructure, and your instinct for security and reliability makes the whole platform better. You unblock people. Data engineers, ML engineers, and Data teams depend on the platform to move fast. You're the person who understands what they need, builds the right foundations, and makes sure the platform is something people trust rather than work around. You make the IDP real. An IDP is only useful if it's kept alive and relevant. You'll be one of the people who makes sure it reflects reality - that services are catalogued, templates are current, and engineers across the business can actually find what they're looking for. You help the team get smarter. Whether it's sharing a better way to use AI tooling, writing a clearer runbook, or spotting a pattern we've been missing - you make the people around you better at their jobs. You own your outcomes. This isn't a team with heavy process or close supervision. You'll be trusted to take work end-to-end, flag when something's wrong, and drive improvements without being asked twice. You speak the business's language. The platform only matters if it delivers something the business can use. You'll spend real time with stakeholders across finance, compliance, BI and data science, understanding what they're trying to achieve, framing the trade-offs in language they can act on, and translating that back into platform decisions.The best person in this role won't just be technically strong - they'll care about the team's success as much as their own, and they'll leave the platform in a better state than they found it. What you'll do Responsibilities . Design and architect scalable cloud infrastructure, developing IaC solutions using Terraform and standardisation initiatives Build, optimise, and maintain CI/CD pipelines for infrastructure deployment, supporting DevOps and DevSecOps best practices across the organisation Operate and evolve GCP data platform services - BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub - in close collaboration with data and ML engineering teams Support IAM, service account design, and security posture across the platform, enforcing least-privilege principles Lead incident response and root cause analysis for platform issues, and drive improvements to reduce recurrence Participate in an on-call rota as the platform's operational coverage matures. Contribute to the development and maintenance of our IDP - adding catalog entries, improving scaffolder templates, and keeping TechDocs accurate Work with data engineering and ML engineering teams to onboard their services and pipelines into the catalog, ensuring ownership and metadata are correctly represented Use AI-assisted engineering tools - including Claude Code - as part of your daily workflow for infrastructure authoring, code review, and documentation Share effective AI patterns and prompting approaches with the team, helping build a culture of thoughtful, safe AI-augmented engineering What you'll need for this role You'll need solid experience in: Cloud Infrastructure & Experience: 4+ years in cloud infrastructure engineering with hands-on experience designing and administering complex platforms in GCP including working knowledge of networking (VPC, VPCSC, Direct Connect) and IaaS/PaaS architectural patterns. Exp Designing and operating Google Cloud Platform - BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub - at production scale Infrastructure-as-Code using Terraform, with real hands-on experience of multi-environment configuration management across cloud providers GitLab CI/CD - building and maintaining pipelines, runners, and merge request workflows Cloud IAM and access control design, with a clear understanding of least-privilege and security best practices Working collaboratively with data or ML engineering teams as a platform provider - not just building infrastructure, but making it usable A consultative approach. You're comfortable working with non-technical stakeholders, interpreting requirements, challenging assumptions where needed, and influencing outcomes without retreating into jargon. It would be a bonus if you have: AWS exposure Backstage experience - software catalog configuration, scaffolder templates, or plugin development Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt Exposure managing Databricks Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context Experience working in regulated financial services environments The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Competitive salary Flexible Benefits Package on top of your salary (12%) Private medical cover for you and your family Life insurance Contribution to gym memberships 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total The option to buy or sell holiday days. Unlimited access to the LinkedIn Learning Platform A comprehensive global and local onboarding process Employee-led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture Option to participate and create ESG initiatives based on IG Brighter Future Fund Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents
27/07/2026
Full time
Senior Cloud Platform EngineerApplylocations: Cannon Street, Londontime type: Full timeposted on: Posted 24 Days Agojob requisition id: R\_17210 Job Title Senior Cloud Platform Engineer Job Description About IG GroupIG Group (LSEG: IGG) is a leading global fintech company, established in 1974 and headquartered in London. As an innovative member of the FTSE 100, IG Group provides dynamic online trading platforms and a robust educational ecosystem, empowering ambitious individuals worldwide in their pursuit of financial freedom. With operations spanning eighteen countries across Europe, Africa, Asia-Pacific, the Middle East and North America, IG Group offers clients access to approximately 19,000 financial markets, including shares, forex, indices, commodities and crypto.IG is at a pivotal moment. We are moving with real pace and ambition rethinking how we serve clients, how we operate, and how we use technology to do both better. For people who want to be part of building something, rather than maintaining it, this is an unusually good time to join. Your Team You'll be joining a small, close-knit Data platform engineering team of three to five engineers. We're a team that takes quality seriously, looks out for each other, and gets things done without a lot of ceremony. Everyone brings something different across cloud infrastructure, data platform, and developer tooling and we rely on that range to solve problems well.We work across time zones with colleagues in Bengaluru and Kraków, so clear communication and good async habits matter. You won't be siloed into a narrow lane in a team of this size, everyone gets exposure to the breadth of what we do, and everyone's opinion on how we do it counts. Your role in the Team's Success In a small team, a senior hire has an outsized impact - and this role is no different. Here's what success looks like: You raise the floor. Your experience with GCP and AWS means the team spends less time firefighting and more time building. You bring rigour to how we design and review infrastructure, and your instinct for security and reliability makes the whole platform better. You unblock people. Data engineers, ML engineers, and Data teams depend on the platform to move fast. You're the person who understands what they need, builds the right foundations, and makes sure the platform is something people trust rather than work around. You make the IDP real. An IDP is only useful if it's kept alive and relevant. You'll be one of the people who makes sure it reflects reality - that services are catalogued, templates are current, and engineers across the business can actually find what they're looking for. You help the team get smarter. Whether it's sharing a better way to use AI tooling, writing a clearer runbook, or spotting a pattern we've been missing - you make the people around you better at their jobs. You own your outcomes. This isn't a team with heavy process or close supervision. You'll be trusted to take work end-to-end, flag when something's wrong, and drive improvements without being asked twice. You speak the business's language. The platform only matters if it delivers something the business can use. You'll spend real time with stakeholders across finance, compliance, BI and data science, understanding what they're trying to achieve, framing the trade-offs in language they can act on, and translating that back into platform decisions.The best person in this role won't just be technically strong - they'll care about the team's success as much as their own, and they'll leave the platform in a better state than they found it. What you'll do Responsibilities . Design and architect scalable cloud infrastructure, developing IaC solutions using Terraform and standardisation initiatives Build, optimise, and maintain CI/CD pipelines for infrastructure deployment, supporting DevOps and DevSecOps best practices across the organisation Operate and evolve GCP data platform services - BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub - in close collaboration with data and ML engineering teams Support IAM, service account design, and security posture across the platform, enforcing least-privilege principles Lead incident response and root cause analysis for platform issues, and drive improvements to reduce recurrence Participate in an on-call rota as the platform's operational coverage matures. Contribute to the development and maintenance of our IDP - adding catalog entries, improving scaffolder templates, and keeping TechDocs accurate Work with data engineering and ML engineering teams to onboard their services and pipelines into the catalog, ensuring ownership and metadata are correctly represented Use AI-assisted engineering tools - including Claude Code - as part of your daily workflow for infrastructure authoring, code review, and documentation Share effective AI patterns and prompting approaches with the team, helping build a culture of thoughtful, safe AI-augmented engineering What you'll need for this role You'll need solid experience in: Cloud Infrastructure & Experience: 4+ years in cloud infrastructure engineering with hands-on experience designing and administering complex platforms in GCP including working knowledge of networking (VPC, VPCSC, Direct Connect) and IaaS/PaaS architectural patterns. Exp Designing and operating Google Cloud Platform - BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub - at production scale Infrastructure-as-Code using Terraform, with real hands-on experience of multi-environment configuration management across cloud providers GitLab CI/CD - building and maintaining pipelines, runners, and merge request workflows Cloud IAM and access control design, with a clear understanding of least-privilege and security best practices Working collaboratively with data or ML engineering teams as a platform provider - not just building infrastructure, but making it usable A consultative approach. You're comfortable working with non-technical stakeholders, interpreting requirements, challenging assumptions where needed, and influencing outcomes without retreating into jargon. It would be a bonus if you have: AWS exposure Backstage experience - software catalog configuration, scaffolder templates, or plugin development Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt Exposure managing Databricks Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context Experience working in regulated financial services environments The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Competitive salary Flexible Benefits Package on top of your salary (12%) Private medical cover for you and your family Life insurance Contribution to gym memberships 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total The option to buy or sell holiday days. Unlimited access to the LinkedIn Learning Platform A comprehensive global and local onboarding process Employee-led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture Option to participate and create ESG initiatives based on IG Brighter Future Fund Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents
Tower (tower.dev) is a Python-native serverless data platform company. Data teams write plain Python, and Tower handles packaging, dependency resolution, scheduling, and execution across a serverless runtime built on Apache Iceberg. The product aims to let local Python scripts run in production at scale without a Databricks detour. The team is small and senior, split between London and Berlin. Senior Backend / Platform Engineer (Hybrid) The work is deep systems work including scheduling, distributed execution, and performance. Stack includes Go and Rust for the platform, Python everywhere it matters, Kubernetes (EKS + Karpenter) on AWS, RDS Postgres, ElastiCache Redis, S3 / Iceberg, and WorkOS for auth. Looking for: strong distributed-systems fundamentals comfort owning a system end to end taste for correctness under load Bonus: data-platform, query-engine, or Iceberg experience async Rust Kubernetes internals
27/07/2026
Full time
Tower (tower.dev) is a Python-native serverless data platform company. Data teams write plain Python, and Tower handles packaging, dependency resolution, scheduling, and execution across a serverless runtime built on Apache Iceberg. The product aims to let local Python scripts run in production at scale without a Databricks detour. The team is small and senior, split between London and Berlin. Senior Backend / Platform Engineer (Hybrid) The work is deep systems work including scheduling, distributed execution, and performance. Stack includes Go and Rust for the platform, Python everywhere it matters, Kubernetes (EKS + Karpenter) on AWS, RDS Postgres, ElastiCache Redis, S3 / Iceberg, and WorkOS for auth. Looking for: strong distributed-systems fundamentals comfort owning a system end to end taste for correctness under load Bonus: data-platform, query-engine, or Iceberg experience async Rust Kubernetes internals
