23 of 23 Data Pipeline Jobs in Milton Keynes

technologies to improve safety and the ease of use - they have introduced several industry-first products and maintain a strong focus on research and development. As a Junior Data Engineer, you will play a crucial role in developing the data infrastructure that supports the analytics and operational functions of our business enterprise. Role & Responsibilities: Data Infrastructure & Support: Provide first-line support for data engineering tasks, such as managing and monitoring data pipelines, resolving issues, and ensuring data integrity. Work with both structured and unstructured datasets to design and implement data models, perform data cleansing, transformation, and validation. Maintain accurate documentation of data … resources and troubleshooting data-related errors. Collaborate with business stakeholders to identify data requirements and deliver sustainable solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist More ❯

EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 10.06.2025 Expiry Date: 25.07.2025 col-wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting … throughout the development lifecycle. Collaborate with multidisciplinary teams, including a wide range of other roles, to shape solutions that meet both technical and business requirements. Mentor and support data engineering teams, fostering a culture of continuous improvement, knowledge sharing, and technical excellence. Support testing activities by ensuring pipelines are testable, observable, and reliable; work with QA and analysts … to define test strategies, implement automated tests, and validate data quality and integrity. Contribute to technical planning, including estimation, risk assessment, and defining delivery approaches for client engagements and new opportunities. Engage with clients and stakeholders, translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development More ❯

Lead Data Scientist (Equity Only) - 1% Job Description: As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data and provide insights. Collaborate with cross-functional teams to develop data-driven solutions that support business growth. Responsibilities: Work with teams to understand data needs and … analytics goals. Use AWS tools like Amazon Redshift, Athena, EMR, and QuickSight for data analysis. Create data pipelines and ETL processes for data integration. Apply statistical and machine learning techniques for analysis and modeling. Develop KPIs and dashboards to aid decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate … on data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS tools like Redshift, Athena, EMR, QuickSight. Knowledge of data modeling, ETL, data warehousing. Skills in statistical analysis, machine More ❯

As a Tech Manager – Data Engineer with AWS experience, you will play a crucial role in the design, development, and maintenance of our data infrastructure. Your work will empower data-driven decision-making and contribute to the success of our data-driven initiatives. Key Responsibilities: Data Integration: Develop and maintain … data pipelines to extract, transform, and load (ETL) data from various sources into AWS data stores for both batch and streaming data ingestion. AWS Expertise: Utilize your expertise in AWS services such as Amazon EMR, S3, AWS Glue, Amazon Redshift, AWS Lambda, and more to build and optimize data solutions. … Data Modeling: Design and implement data models to support analytical and reporting needs, ensuring data accuracy and performance. Data Quality: Implement data quality and data governance best practices to maintain data integrity. Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and storage More ❯

AWS Data Engineer Support | S2 | Data Centre of Excellence Country: United Kingdom Interested in part-time, job-share or flexible working? We want to talk to you! Join our community. We have an exciting opportunity for an AWS Data Engineer Support to join our team of analysts to create the data and … insights which support the functional areas of the bank. You'll play a key role understanding the types of models and data frameworks that support the business strategies around our data assets. This will require excellent communication skills, functional awareness and an excellent analytical capability. The difference you'll make: Driving and maintaining our AWS-hosted … the design, development and maintenance of systems Ensuring stable deployment, debugging and execution of various initiatives Collaborating with others and analysing to source and build understanding of relevant data Working in an agile manner, ensuring the outputs required are in line with stakeholder expectations and delivered on-time What you'll bring: These are the essential requirements you More ❯

we're breaking new ground, it often means that we're working on new technological challenges. We are building in-house banking products using modern technologies. Role Description Data is a key asset to Allica and is deeply embedded in all our teams and products. With data, we assist and work with Finance, Operations, Credit Risk … Product, and Management. We are looking for ambitious and curious people who can help us understand our data better, contribute to building robust data pipelines, and help model our data so that stakeholders and team members can extract better insights from it. You will be an integral part of the data engineering … team, building and developing the tooling and pipelines that form our data ingestion and modelling machine for our partnership agreements. Principal Accountabilities Understand our data landscape and architecture. Strong skillset in data modelling. Build and maintain data pipelines. Work with the team to engineer tools based on data requirements, manage More ❯

officially designated Posts. Our UK-based staff work in King Charles Street, London, Abercrombie House in East Kilbride and in Milton Keynes. These roles contribute to FCDOs Data Strategy to improve insights to the business by provisioning it with reliable and trustworthy data sources and improving theirdeliveryin a secure manner in compliance with Data regulations. The team is primarily Azure focused but other Cloud technologies such as Oracle andAmazon Web Services (AWS) are usedin FCDO. The successful candidates will build complex data pipelines (both Extract Transform and Load ETL and Extract Load and Transform ELT ) in the Azure cloud platforms. You will work with structured and unstructured data, data lakes, data warehouses to service operational and analytical business needs. The successful candidates will: Work collaboratively with Enterprise Data Colleagues to develop pipelines and data product that aligns with data architecture and engineering best practice. Develop data assets and products that assist Power Business Intelligence (BI) colleagues to More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and … policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development More ❯

Social network you want to login/join with: Head of Data Engineering & Governance, milton keynes col-narrow-left Client: Data Science Talent Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide Job Description: Head of Data Engineering & Governance Investment & Wealth … client began to focus solely on wealth management. But now? This company – a trusted name in the UK financial services sector – fully recognise this. They understand that embracing data and AI is what will continue to position them at the forefront of the UK’s investment management sector. This isn’t a dalliance with data. It’s a … debate about the direction, fighting for investment or dragging people with you. Now, following a recent acquisition, they’re ready to embark on the next phase – transforming the data and harnessing its power. And that’s where you come in. Where you fit in As one of three new leaders in the newly established Group Data More ❯

rail network companies operating with rail infrastructure and asset management has a need to develop and support enterprise-level information systems. To act as the design authority for data-centric projects and programmes, responsible for shaping high-level data architecture aligned with strategic business and technology goals. This role focuses on designing solutions for Route Services … Information Technology (RSIT) customers, with an emphasis on graph-based data modelling and network management, ensuring alignment with both current and target-state infrastructure. Responsibilities Architect and design data solutions that support route services, asset management, and operations across the rail domain—ensuring scalability, quality, and performance. Develop data architectures and models (especially graph … based) that support seamless integration of infrastructure, operational data, and business intelligence. Define and enforce data solution standards, ensuring technical consistency and reuse across programmes. Collaborate with RSIT colleagues and enterprise architects to ensure proposed designs align with existing and future infrastructure strategies. Manage stakeholder engagement to translate complex data requirements into clear, actionable More ❯

recognition and inclusivity and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world … Vault), and telemetry via Application Insights or Log Analytics. KEY RESPONSIBILITIES: Have 5+ years of technical consulting or a similar chronology of demonstrable success in coding and deploying Data and AI models onto Azure environments. At least one year using Azure Fabric Create scalable and reliable data pipelines for data processing, transformation, and storage. … Establish and enforce data governance policies and be ‘hands-on’ in exploratory data analysis to identify and measure quality gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and More ❯

/join with: Largely remote - 1 day per month in the office Salary up to £55,000 + Bonus + Benefits We are looking for a hands-on Data Engineer/Migration Engineer to support the migration of CRM data from various OpCo's, using a variety of legacy source systems, into the Microsoft Dynamics … Customer Engagement (CE) platform. You will be responsible for extracting, transforming, cleansing, and loading data , ensuring quality and consistency throughout the process. This role is ideal for someone with a strong technical background in data engineering and experience with Microsoft/Azure data tools, particularly in a CRM or Dynamics/D365 environment. In … the medium term, there will be scope and opportunity to build modern, cloud-native data solutions using Azure Synapse or Microsoft Fabric. Key Responsibilities As the sole Data Engineer for this programme of work, perform ETL (Extract, Transform, Load) processes to migrate data into D365 CE modules (e.g., Sales, Customer Service, Field Service). More ❯

experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer More ❯

Social network you want to login/join with: Location: Remote (UK-based) with occasional client site visits This position sits within the Solution Consulting function of a data-focused consultancy, supporting the delivery of data projects across a range of strategic clients. The role involves working both remotely and on-site to lead analysis efforts … and engage with business stakeholders to define and document data-driven requirements. Key Responsibilities: - Lead business and data analysis activities across multiple clients. - Gather, analyse, and document requirements for data pipelines, system migrations, and reporting needs. - Work closely with both client stakeholders and internal engineering teams to ensure accurate and actionable specifications. - Facilitate workshops … and discovery sessions to identify business and data requirements. - Support the development and curation of business glossaries and manage associated processes. - Maintain up-to-date specifications and advocate for solutions that drive client value. Key Experience & Skills: - 5+ years in a business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem More ❯

rail network companies operating with rail infrastructure and asset management has a need to develop and support enterprise-level information systems. To act as the design authority for data-centric projects and programmes, responsible for shaping high-level data architecture aligned with strategic business and technology goals. This role focuses on designing solutions for Route Services … Information Technology (RSIT) customers, with an emphasis on graph-based data modelling and network management, ensuring alignment with both current and target-state infrastructure. Responsibilities Architect and design data solutions that support route services, asset management, and operations across the rail domain—ensuring scalability, quality, and performance. Develop data architectures and models (especially graph … based) that support seamless integration of infrastructure, operational data, and business intelligence. Define and enforce data solution standards, ensuring technical consistency and reuse across programmes. Collaborate with RSIT colleagues and enterprise architects to ensure proposed designs align with existing and future infrastructure strategies. Manage stakeholder engagement to translate complex data requirements into clear, actionable More ❯

One of the biggest UK rail network companies operating with rail infrastructure and asset management has a need to develop and support enterprise-level information systems. Align the data science initiatives with the overall business goals. This could range from improving customer satisfaction, enhancing operational efficiency, to driving sales growth. Responsibilities DWH … development Data modelling Requirements clarification Customer communications Skills Must have Data Modelling Azure Data Lake Azure Data Factory Data Pipeline development Postgres, MySQL and SQLite Nice to have Machine learning Python More ❯

the biggest UK rail network companies, specializing in rail infrastructure and asset management, is seeking to develop and support enterprise-level information systems. The goal is to align data science initiatives with overall business objectives, such as improving customer satisfaction, enhancing operational efficiency, and driving sales growth. Responsibilities DWH … development Data modelling Requirements clarification Customer communications Skills Must have Data Modelling Azure Data Lake Azure Data Factory Data Pipeline development Postgres, MySQL, and SQLite Nice to have Machine learning Python #J-18808-Ljbffr More ❯

Social network you want to login/join with: Data & AI Solutions Deployment Architect, milton keynes col-narrow-left Client: Bytes Software Services Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Bytes is a top provider of premium IT solutions and services … foster a culture of innovation, collaboration, recognition and inclusivity and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: The Data & AI Solutions Deployment Architect will be instrumental in architecting and deploying Azure Data & AI Solutions. A solid, technical, ‘hands-on’ (not just the theory) grasp of Azure … Fabric is essential as we navigate clients through all of the infrastructure, coding, and product development lifecycle challenges around successful Data and AI implementation and deployment. This customer-centric position involves delivering projects, conducting workshops and physically working on client’s environments via Python, and C#. This role would suit an experienced Data platform engineer or More ❯

Social network you want to login/join with: A leading Financial Services client in the City of London is now seeking an experienced Data Engineering Manager to join on a permanent basis. This role is offering a base of £85,000 + a strong benefits package and flexible working. The ideal Data Engineering Manager will … come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will need the following: Experience designing, improving and maintaining robust … data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps More ❯

want to login/join with: South Manchester – Remote (On-site just once a month MAX) Up to £60,000 + Bonus + Benefits Are you a skilled Data Engineer ready to shape the future of data in a rapidly scaling tech business? This is a great opportunity to join a leading SaaS provider generating close … platform supports millions of users across sectors including the NHS, logistics, public safety, and retail. With their tech function now fully in-house, they’re investing heavily in data—and you’ll be at the forefront of that transformation. You’ll work directly with the CTO and Head of Engineering, helping define the company’s data architecture, pipelines, and reporting solutions from the ground up. What You’ll Be Doing: Designing, building, and optimising scalable data pipelines, data warehouse structures, and integration processes. Implementing robust ETL solutions to consolidate data from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem More ❯

Social network you want to login/join with: ZONTAL is revolutionizing data management and digital transformation for the life sciences industry. Our cutting-edge platform enables seamless data integration, standardization, and accessibility—empowering scientists and organizations to drive innovation, enhance compliance, and accelerate breakthroughs in healthcare and biotechnology. ZONTAL has offices in the US, Europe … the job. Your Responsibilities: Be a subject matter expert in the ZONTAL Platform and its customer use-cases. Analyze business requirements for customer-facing projects, with emphasis on data flows and data formats as they feed into & out of the ZONTAL Platform. Create functional and design specifications for the proposed solution, focusing on overall Platform architecture … sciences data acquisition software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker More ❯

looking for a Legal AI Engineer who’s passionate about building intelligent systems at the intersection of law and machine learning. You’ll work closely with legal experts, data scientists, and product managers to develop AI features that tackle real legal challenges through the use of agentic GenAI. As Legal AI Engineer you will: Design and implement AI … data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model performance, ensuring accuracy, fairness, and compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience More ❯

permit required: Yes col-narrow-right Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Actian is transforming how enterprises discover, understand, and govern their data assets through our innovative data catalog and intelligence platform. Our customers rely on us to provide a seamless and scalable experience, and we’re looking for a … strategic thinking, and strong project management skills to ensure customers see long-term success with Actian solutions. Responsibilities: Technical Implementation & Onboarding Lead technical onboarding process for new Zeenea Data Intelligence Platform customers Develop and execute customer implementation plans ensuring smooth deployment and adoption Manage the technical setup, configuration, and deployment of Zeenea, ensuring seamless integration into customer environments … reinforce business impact Contribute to case studies showcasing innovative metadata implementations Skills and Expertise: 5+ years in technical implementation, consulting, professional services, or customer success in a SaaS, data management, or cloud-based environment Excellent ability to translate customer needs into actionable technical requirements Experience managing multiple concurrent implementation projects with enterprise customers Knowledge of APIs & software development More ❯