14 of 14 ETL Jobs in Leeds

work as part of a collaborative team to solve problems and assist other colleagues. - Ability to learn new technologies, programs and procedures. Technical Essentials: - Expertise across data warehouse and ETL/ELT development in AWS preferred with experience in the following: - Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation More ❯

work as part of a collaborative team to solve problems and assist other colleagues. Ability to learn new technologies, programs and procedures. Technical Essentials Expertise across data warehouse and ETL/ELT development in AWS preferred with experience in the following: Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation More ❯

scalable data pipelines and infrastructure in AWS. Strong expertise with AWS services, including Glue, Redshift, Data Catalog, and large-scale data storage solutions such as data lakes. Proficiency in ETL/ELT tools (e.g. Apache Spark, Airflow, dbt). Skilled in data processing languages such as Python, Java, and SQL. Strong knowledge of data warehousing, data lakes, and data lakehouse More ❯

insights. Support the move toward a more automated, analytics-led environment. Skills & Experience Proven experience as a Data Engineer within a modern data or cloud environment. Strong knowledge of ETL/ELT pipeline design and data modelling. Experience with Snowflake (or similar cloud-based data warehouse solutions). Familiarity with integration and automation tools such as Boomi, Celigo, or equivalent. More ❯

process from conception through to completion and launch.SQL Developer Key skills:* SQL Server* Cloud platforms, ideally Azure* Data pipeline tools, SSIS/Spark* Data warehousing and data modelling principles* ETL* MS Fabric* PythonYou will be a motivated SQL Developer with good communication skills and have prior experience within a similar position. The successful SQL Developer should have strong problem solving More ❯

throughout delivery. As a Data Engineer, you will: Digest data requirements, gather and analyse large scale structured data and validates by profiling in a data environment Design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and clean data Implement data quality procedures on data sources and preparation to visualize data and synthesize insights for business value Support More ❯

setting standards for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science More ❯

tasked with building and enhancing a modern Azure data platform, with an expertise in Databricks. About the Role: In this role, you will play a key part in developing ETL pipelines, optimizing data integration processes, and supporting data-driven decision-making across the business. You'll collaborate with stakeholders to understand data requirements, contribute to architectural decisions, and support the … migration of reporting services to Azure. Key Responsibilities: Design, build, and maintain ETL pipelines using Azure Data Factory , Azure Data Lake , Synapse , and Databricks . Design and build a greenfield Azure data platform to support business-critical data needs. Collaborate with stakeholders across the organization to gather and define data requirements. Assist in the migration of reporting services from on More ❯

throughout delivery. As a Data Engineer, you will: Digest data requirements, gather and analyse large scale structured data and validates by profiling in a data environment Design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and clean data Implement data quality procedures on data sources and preparation to visualize data and synthesize insights for business value Support More ❯

firm, playing a key role in SAP S/4HANA migration projects. You will work closely with functional and technical teams to ensure the successful extraction, transformation, and loading (ETL) of data from legacy systems into SAP environments. This role will focus on delivering high-quality data migration solutions using SAP Migration Cockpit, SAP Data Services (BODS), and other SAP More ❯

to-end data pipelines within the AWS ecosystem Build reliable data solutions using Databricks, Python, and SQL Integrate and optimise data from diverse sources, including MongoDB Develop and maintain ETL processes for analytical and operational use Implement data quality, governance, and testing frameworks Collaborate with analysts, scientists, and delivery teams to ensure accessible, trusted data Contribute to the evolution of … scalable, cloud-native data architectures Foster team alignment and positive collaboration across technical and non-technical stakeholders What You’ll Bring Strong hands-on experience with Python for ETL and data engineering Proven expertise in AWS Data Services (Glue, Redshift, S3, Lambda, Databricks) Advanced SQL skills across data modelling, optimisation, and stored procedures Familiarity with MongoDB or other NoSQL databases More ❯

models, and systems that enable smarter insights, improved efficiency, and enhanced decision-making across the business. Key Responsibilities Design, develop, and maintain scalable and efficient data pipelines, integrations, and ETL processes to support analytics and reporting. Architect and optimize data models and database structures, ensuring scalability, consistency, and business alignment. Collaborate with data scientists, analysts, and business stakeholders to translate … architecture. Proven proficiency in SQL and experience with relational databases. Practical experience with big data technologies such as Hadoop or Spark. In-depth understanding of data warehousing concepts and ETL frameworks. Familiarity with cloud platforms including AWS, Azure, or GCP. Strong analytical and problem-solving skills, with the ability to communicate technical concepts effectively. More ❯

from multiple sources Creating advanced Power BI dashboards and reports to support strategic decisions Conducting statistical and trend analysis to drive operational improvements Data Warehouse Management Designing and maintaining ETL processes and scalable data models Collaborating with IT and engineering teams to ensure seamless data integration Collaboration & Strategy Partnering with stakeholders to understand analytical needs and deliver solutions Contributing to … innovative techniques and staying ahead of BI trends What You’ll Bring Advanced Power BI skills (including DAX, Power Query) Strong SQL and data warehousing experience Solid understanding of ETL pipelines and data modelling Minimum 2–3 years in data analytics or BI roles Bonus points for Python or R knowledge Education & Certifications: Bachelor’s or Master’s in Data More ❯

QA Lead (ETL, Data Migration, NHS) Leeds (Hybrid when required) 5 Month Contract £(Apply online only)/day (Inside IR35) QA Lead with NHS Experience on ETL and Data Migration experience . Need candidates Start ASAP in November 2025 . The ideal candidate will have a strong background in ETL and Data migration experience . A chance to work with … Government client. Hybrid Working: remote (WFH), and Leeds week working on-site in when required Leeds office. Key Responsibilities & Experience: Lead QA activities with strong hands-on experience in ETL testing and data migration. Work within an Agile environment and a rainbow team structure, ensuring collaboration across multiple squads. Apply estimation techniques and adhere to established quality processes throughout testing More ❯