326 to 350 of 727 ETL Jobs in the UK

in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering More ❯

in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering More ❯

in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering More ❯

hands-on development (C# and/or Python) Strong background in hedge fund, asset management , or financial markets Solid DevOps skills: CI/CD, containerisation, source control (e.g. Git) ETL experience with financial data (including tick data) SQL and database systems knowledge Familiarity with cloud (Azure ideal, others acceptable) Excellent communication skills - confident with stakeholders and leadership What You'll More ❯

hands-on development (C# and/or Python) Strong background in hedge fund, asset management , or financial markets Solid DevOps skills: CI/CD, containerisation, source control (e.g. Git) ETL experience with financial data (including tick data) SQL and database systems knowledge Familiarity with cloud (Azure ideal, others acceptable) Excellent communication skills - confident with stakeholders and leadership What You'll More ❯

Python experience in a collaborative, version-controlled production environment. Familiarity with financial markets and instruments, especially derivatives and fixed income products. Exposure to systems involving data movement or transformation (ETL processes) is beneficial though not central to the role. Strong verbal and written communication skills, with a track record of collaborating across both technical and non-technical teams. Practical knowledge More ❯

Python experience in a collaborative, version-controlled production environment. Familiarity with financial markets and instruments, especially derivatives and fixed income products. Exposure to systems involving data movement or transformation (ETL processes) is beneficial though not central to the role. Strong verbal and written communication skills, with a track record of collaborating across both technical and non-technical teams. Practical knowledge More ❯

Proven track record leading multi-million-pound projects within consulting or enterprise-level engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud data lake architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or More ❯

Proven track record leading multi-million-pound projects within consulting or enterprise-level engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud data lake architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or More ❯

using .NET framework backend services and React frontends. You'll utilise tools such as Terraform for infrastructure-as-code ( IaC ), AWS (Lambda, EC2, EKS, Step Functions, VPC etc.) for ETL, Airflow pipelines, Snowflake, and ensure architectural alignment with AI/ML initiatives and data-driven services. You will serve as the go-to engineer for: End-to-end data migration … environments using AWS and our bespoke Conversion Framework. Build new and maintain existing bespoke systems. Implement .NET-based microservices with strong observability and integration with data platforms. Develop custom ETL pipelines using AWS, Python, and MySQL. Implement governance, lineage, and monitoring to ensure high availability and traceability. AI & Advanced Analytics Integration: Collaborate with AI/ML teams to enable model More ❯

role: The Data Engineer will help drive the build of effortless, digital first customer experiences, simplifying the organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design, inspiring to be commercially successful through insight and keep customers and the organisation's data safe and secure. What you'll do: Build advanced automation of data engineering pipelines More ❯

using .NET framework backend services and React frontends. You'll utilise tools such as Terraform for infrastructure-as-code ( IaC ), AWS (Lambda, EC2, EKS, Step Functions, VPC etc.) for ETL, Airflow pipelines, Snowflake, and ensure architectural alignment with AI/ML initiatives and data-driven services. You will serve as the go-to engineer for: End-to-end data migration … environments using AWS and our bespoke Conversion Framework. Build new and maintain existing bespoke systems. Implement .NET-based microservices with strong observability and integration with data platforms. Develop custom ETL pipelines using AWS, Python, and MySQL. Implement governance, lineage, and monitoring to ensure high availability and traceability. AI & Advanced Analytics Integration: Collaborate with AI/ML teams to enable model More ❯

experience in a Data Engineer role and a strong academic background Python & SQL: Advanced-level Python for data applications and high proficiency SQL for complex querying and performance tuning. ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud More ❯

experience in a Data Engineer role and a strong academic background Python & SQL: Advanced-level Python for data applications and high proficiency SQL for complex querying and performance tuning. ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud More ❯

You must be a highly effective communicator, both written and verbally. Desirable Experience Experience with property management software MRI Qube, Yardi or similar. Experience with Microsoft SQL. Experience with ETL Tools and Data Migration. Experience with Data Analysis, Data mapping and UML. Experience with programming languages (Python, Ruby, C++, PHP, etc). Hybrid: 2-4 days onsite (the business work More ❯

Solid understanding of Azure Services including: Azure Data Factory Azure Storage Containers Lakehouse architecture Expertise in PySpark for big data processing In-depth knowledge of data migration processes, including ETL and data mapping Excellent verbal and written communication skills Experience Experience with CI/CD pipelines for deployment automation Familiarity with COSMOS DB Proficiency in Python beyond PySpark Working knowledge More ❯

AWS data services . Strong proficiency in DataOps methodologies and tools, including experience with CI/CD pipelines, containerized applications , and workflow orchestration using Apache Airflow . Familiar with ETL frameworks, and bonus experience with Big Data processing (Spark, Hive, Trino), and data streaming. Proven track record - You've made a demonstrable impact in your previous roles, standing out from More ❯

that will allow you, and colleagues, which include Business Intelligence Engineers and Data Engineers to make sense of the vast datasets we possess. BASIC QUALIFICATIONS - Experience with SQL or ETL - Experience with reporting and Data Visualization tools such as Quick Sight/Tableau/Power BI or other BI packages - Experience writing business requirements documents, functional specifications, and use cases More ❯

preferred). Solid understanding of cloud platforms (Azure preferred; AWS/GCP a plus). Experience in automated deployment of SQL instances and server configuration. Familiarity with data modeling , ETL pipelines, and data synchronization. Soft Skills: Strong problem-solving and troubleshooting skills. Ability to work independently and manage multiple tasks. Excellent communication and documentation skills. Package Our package offers a More ❯

Platform Implementation: Lead the design and development of a new global data platform (PaaS) Ensure scalable storage solutions (data lakes, data warehouses) to handle structured and unstructured data. Implement ETL/ELT pipelines using Dagster, Airflow, or similar tools. Optimize performance and scalability for large data volumes. Govern data security, compliance, and access controls. Development & DevOps: Strong programming and scripting More ❯

are searching for someone who can bring a range of skills and experiences to enhance the team. As such, there are a few essential skills we are looking for: ETL processes and methodologies Power Apps/Power Automate APIs and related data formats (JSON, XML,etc.) Strong SQL writing skills Strong understanding of data and data modelling Experience of developing More ❯

Amazon Music engages fans, artists, and creators on a global scale. Learn more at BASIC QUALIFICATIONS - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience managing a data or BI team - Experience leading and influencing the data or BI strategy of your team or organization - Experience in at least one More ❯

preferred) Nice to have Experience: Familiarity with Streamlit or other lightweight internal tooling UIs Exposure to LLMs , OpenAI tools , or agent-based systems Experience using Google Analytics or reverse ETL tools like Hightouch Building and scaling data products from scratch Prior experience in startup or scale-up environments Benefits: Competitive Salary: We offer pay that reflects your skills and the More ❯

role, you will: Partner closely with engineers and business leaders to design and build Relay's core data models Take ownership of Relay's data infrastructure, including our ingestion, ETL, data quality monitoring and data catalogue. Collaborate with team members across every function and business area at Relay. Regularly spend time in the field understanding how your data models match More ❯

areas, from day-to-day operations to high-impact projects. What you will be doing as the Senior Data Analyst : You’ll be responsible for extracting, transforming and loading (ETL) data, as well as organising, visualising, analysing and presenting insights in a clear and compelling manner. A key aspect of this role will involve contributing to the successful migration of More ❯