101 to 125 of 683 Data Engineer Jobs

Purpose of the Job: Design, build, and maintain robust data systems and pipelines that support data storage, processing, and analysis on the Cloud. Work with large datasets, ensuring data quality, scalability, and performance, while collaborating. closely with data scientists, analysts, and other engineering teams to understand their data needs and provide them with high-quality … accessible data. They are responsible for ensuring that the underlying data infrastructure supports the organizations broader data and business goals, enabling more effective data-driven decision-making. Key Accountabilities: • Design and implement scalable, efficient, and secure data architectures, ensuring optimal data flow across systems in order to achieve high service levels of support, maintenance and … development. • You will own development and change projects to ensure requirements are met in the most cost-effective manner while minimising associated risk to expected standards. • Responsibly for cloud data platform development, data modelling, shaping and technical planning • You will be a mentor among the owning decision making and evaluation of requirement suitability, facilitate reliable estimates, technical project More ❯

An exciting opportunity has arisen to join a well established organisation in the insurance space, in a challenging Data Engineer role. There will be a lot of stakeholder engagement, so the ideal candidate will have both hands on and business facing experience. Preferably in the insurance sector. Key responsibilities: Design Data Lake and Data Warehouse solutions. … Design Data Models using Data Vault and Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known solutions to data issues are optimised Work closely with other data specialists and technicians in the organisation, such … as Actuarial and Finance, to help with their data presentation requirements and help deliver data for visualisation solutions, such as Power BI Key skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong knowledge of Power BI Strong SQL experience. Familiarity More ❯

An exciting opportunity has arisen to join a well established organisation in the insurance space, in a challenging Data Engineer role. There will be a lot of stakeholder engagement, so the ideal candidate will have both hands on and business facing experience. Preferably in the insurance sector. Key responsibilities: Design Data Lake and Data Warehouse solutions. … Design Data Models using Data Vault and Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known solutions to data issues are optimised Work closely with other data specialists and technicians in the organisation, such … as Actuarial and Finance, to help with their data presentation requirements and help deliver data for visualisation solutions, such as Power BI Key skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong knowledge of Power BI Strong SQL experience. Familiarity More ❯

benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth … flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing … aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data More ❯

benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth … flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing … aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data More ❯

benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth … flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing … aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data More ❯

benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth … flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing … aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data More ❯

benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth … flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing … aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data More ❯

benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth … flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing … aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data More ❯

benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth … flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing … aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data More ❯

benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth … flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing … aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data More ❯

benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth … flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing … aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data More ❯

Data Engineer - Journeyman Job Name: Data Engineer (Ops) Cert Requirement: None LCAT Requirements - Must Haves: Bachelor's degree in Computer Science, Data Engineering, or related field; 4-6 years of experience in data engineering or database development; proficiency in SQL or PL/SQL, and data pipeline development; experience with data remediation … Experience supporting 24/7 operations or shift-based environments; familiarity with Agile and DevSecOps environments; experience with interface control documents (ICDs), EHF monitoring, and automated reporting; knowledge of data archiving, backup, and recovery strategies; exposure to audit frameworks and segregation of duties (SoD) controls; experience with AI/ML. What will the candidate do in this role?: Design … and maintain data pipelines supporting interface and operational data flows; analyze and resolve data integrity issues across Oracle EBS and external systems; support root cause analysis (RCA) and develop data remediation scripts; collaborate with interface and audit teams to ensure data traceability and compliance; develop and maintain automated reports and dashboards for operational visibility; support More ❯

AI & Data Engineer - Must have an Active DV Clearance - Hybrid Location: Bristol, London, Manchester or Cambridge Salary: £55,000 - £75,000 (depending on experience and clearance) Our client is looking for an AI & Data Engineer to join their team. As a practitioner, you are responsible for bridging the gap between our customers' needs and technical solutions. … Your primary responsibility is to make data valuable for our clients, by developing pipelines that ingest, transform, and enrich high volume and variety data into accessible, trusted information assets that can be used to derive actionable insights. In your role, you will have responsibility for deliverables and client stakeholder relationships and will be delivering solutions for our clients … greatly and your responsibility as a consultant will differ based on the focus of the client engagement and your skillset, but could include and may require you to: Apply data engineering tools, integration frameworks, and query engines to create high quality, standardised data for downstream use cases, such as for AI and reporting. Design and implement high quality More ❯

Artificial Intelligence Engineer/Data Scientist £50k - £90k dependant on experience bonus good bens. Flexible Working Location opportunity. This role may suit individuals who have previously held roles such as Data Engineer, Data Architect, Big Data Consultant, Data Scientist, Data Modeller, Big Data Analyst, or AI Engineer. We are assisting in … recruiting AI Engineers/Data Scientists to join an innovative and growing team within the data practice of a prestigious global technology consulting firm. The client offers excellent career growth, professional development, and a personalized benefits package. Candidates must ideally have UK security clearance and be fully flexible regarding working location. The successful candidate will be a key … team member designing modern analytical data solutions, engaging in the full project lifecycle. The role offers a diverse range of exciting work. Key Skills We are recruiting at various levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data More ❯

Huntingdon (depending on your location) and home working (expectation is 2 days in the office) Permanent Full time, 37 hours per week Do you have prior experience of Enterprise Data Engineering, dimensional modelling? Do you have experience of working within an Agile environment or are keen to work in one? Do you like to always explore, learn, challenge yourself … and are a good team player? If you can answer yes to the above we have an exciting opportunity for you with our expanding team! The Data and Digital Services team will transform the way data and digital services are provided in Anglian Water, moving from an order-taker service to a trusted, informed partner. The data service will go beyond the traditional data warehouse to provide a modern business intelligence capability that supports distributed (crowd-sourced) reporting and analytics, allowing business SMEs and data and analytics SMEs to work hand in hand to deliver insight to drive business performance. The team will keep the BI service in step with emerging technologies and practices More ❯

Senior Data Engineer Birmingham (hybrid) £65,000 to £75,000 per annum Permanent I am seeking a Senior Data Engineer to join a market leading organisation to play a pivotal role in managing and optimising their data infrastructure. You will be at the heart of a collaborative team that values knowledge sharing and offers exposure … to every facet of the business. Senior Data Engineer - What will you be doing? * Oversee the end-to-end management of Azure Data Factory (ADF), ensuring robust pipeline creation, maintenance, and optimisation for reliable data movement throughout the organisation. * Collaborate closely with stakeholders from various divisions to understand their data needs and deliver tailored solutions … Utilise Power BI to create insightful dashboards and reports that empower teams across the business to make informed decisions based on real-time analytics. * Maintain comprehensive documentation for all data processes, ensuring transparency and ease of knowledge transfer within the team. * Troubleshoot issues related to data integration or pipeline failures promptly, minimising downtime and maintaining high standards of More ❯

Job Title: Graduate Data Engineer Location: Brighton, UK About Us: We are a dynamic and innovative technology consultancy based in Brighton. We specialise in providing cutting-edge solutions to our clients, enabling them to leverage data for strategic decision-making and operational efficiency. Our team is composed of talented professionals who are passionate about technology and committed … to delivering exceptional results. Job Description: Position Overview: We are seeking a highly motivated and enthusiastic Graduate Data Engineer to join our team. As a Graduate Data Engineer, you will be an integral part of our data engineering team, working on a variety of projects that involve data collection, transformation, and analysis. This is … an excellent opportunity for a recent graduate to kick-start their career in data engineering within a supportive and collaborative environment. Key Responsibilities: Assist in the design, development, and maintenance of data pipelines and ETL processes. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs. Work More ❯

Senior Data Engineer Hybrid 2x per week (Leeds, West Yorkshire) Salary to £60,000 + benefits About the Role: Our client, a tech for good organisation, is investing heavily in digital transformation and building a cloud-first, data-led approach to support major environmental goals. Think scalable pipelines, secure platforms, and data systems that directly contribute … to a greener future. As a Senior Data Engineer, you'll play a key role in designing and delivering robust, cloud-based data infrastructure. You'll work with large datasets, build scalable pipelines, and help ensure data is high quality, secure, and accessible, while mentoring more junior engineers and working closely with stakeholders across the business. … Key Responsibilities: Develop scalable and secure data architectures ensuring optimal data flow Cloud data platform development, data modelling, shaping and technical planning Implementing best practices around data security, governance, privacy, and compliance Ensure company data is secure, accurate, maintained and available. Mentor data engineers and support their growth. Implement best practices for data More ❯

Vacancy for Data Engineer at The UK National Archives Vacancy for Data Engineer at The UK National Archives London Full-Time The National Archives is looking for an experienced Data Engineer with in-depth experience in data design and engineering to help build the next generation of digital archiving services. We are currently … creating new digital services to help our users send public data and records to the archive and preserve this nationally important resource for the future. We have the ambition to do more to structure, enrich and analyse that data to make it easier to find, use and understand and open up new access routes for a wider range … build your understanding of developing technologies that can be applied to enhance understanding of archival content and enable access and re-use of public data. ABOUT YOU: As our Data Engineer, you will have a strong background in creating models and schemas, managing and enriching data, constructing data products and services, and integrating them into systems More ❯

Position: Data Engineer Overview of the Role An established organisation is currently undergoing a data transformation and is seeking a skilled Data Engineer to join its growing data team. This role plays a key part in building and deploying modern data solutions based on Azure Databricks, enabling faster and more informed business decisions. … You'll work hands-on with Azure Databricks, Azure Data Factory, Delta Lake, and Power BI to design scalable data pipelines, implement efficient data models, and ensure high-quality data delivery. This is a great opportunity to shape the future of data within the organisation while working with advanced cloud technologies. Key Responsibilities and Deliverables … Design, develop, and optimise end-to-end data pipelines (batch & streaming) using Azure Databricks, Spark, and Delta Lake. Implement Medallion Architecture to structure raw, enriched, and curated data layers efficiently. Build scalable ETL/ELT processes with Azure Data Factory and PySpark. Support data governance initiatives using tools like Azure Purview and Unity Catalog for metadata More ❯

Description Continuing Defleet's data led journey and recognising the importance the Data & Analytics team performs in this regard, we are looking for a skilled Lead Data Engineer who is passionate about exploiting data and searching for improvements in our existing processes and technology; can work closely with business teams; drives solutions with a focused … mentality on business value and can lead, influence and drive collaboration across teams and stakeholders. It will focus on expanding the existing mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake … and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no direction and developing their own solution Looks at the existing tech landscape and identifies improvements without prompting Desire and ability to continuously learn new technologies and practices More ❯

Description Continuing Defleet's data led journey and recognising the importance the Data & Analytics team performs in this regard, we are looking for a skilled Lead Data Engineer who is passionate about exploiting data and searching for improvements in our existing processes and technology; can work closely with business teams; drives solutions with a focused … mentality on business value and can lead, influence and drive collaboration across teams and stakeholders. It will focus on expanding the existing mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake … and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no direction and developing their own solution Looks at the existing tech landscape and identifies improvements without prompting Desire and ability to continuously learn new technologies and practices More ❯

Senior Data Engineer Location: London, UK (3 days in the office) SC Cleared: Required Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and … data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. Experience with SQL and NoSQL … databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices More ❯

Data Engineer Location: UK - remote Length: 3 months Start Date: October 2025 Rate: 41.35 per hour Hours: 9am-6pm Job Description: This is a Data Engineer role in the Central Integrity & Support organization, responsible for performing day-to-day data engineering tasks to support the High Touch Support space. The focus is on improving user … experience and customer satisfaction by designing, developing, and maintaining scalable data pipelines, architectures, and solutions that enable data-driven decision-making and drive business outcomes. Role and Teams: There are multiple teams within the Central Integrity & Support organization. One team supports the customer communication tool, and another works on the best tools to resolve customer queries. The Data Engineer will support both teams. The team consists of 7 FTEs supporting the AI high touch support space. Day-to-Day Activities: Data Visualization Work mostly autonomously, with interactions with Engineers, Data Scientists, and Product Managers to gather insights. Define metrics with Data Scientists; Product Managers provide insights into what good looks like and the More ❯