15 of 15 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 ❯

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 ❯

Key Responsibilities Lead development of data pipelines and solutions using Databricks, Python, and SQL Design and maintain data models supporting analytics and business intelligence Build and optimise ELT/ETL processes on AWS or Azure Collaborate closely with analysts, architects, and stakeholders to deliver high-quality data products Champion best practices in testing, CI/CD, version control, and infrastructure More ❯

Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/ELT development in AWS preferred Experience is building a Data Lake as well as building CI/CD data pipelines Excellent communication and problem-solving skills. What's on More ❯

and ensure technical delivery aligns with business needs Translate business requirements into logical and physical data models that support scalable, high-performance analytics and reporting solutions Build and automate ETL/ELT pipelines using tools such as Azure Data Factory, as well as scripting with Python and PowerShell Use Power BI to create dashboards and data visualisations, focusing on usability More ❯

Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data migration. Exposure to DBT, Docker, or Microsoft BI stack is a More ❯

Brilliant team culture + socials What you'll need: Strong SQL skills - you'll be optimising queries and managing complex financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing solutions - Snowflake experience would be brilliant More ❯

complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of SQL (SQL Performance Tuning) and ETL Experience of data warehousing and data lake solutions. Experience working in an Agile environment. This is an excellent opportunity to join a company as it continues to grow and expand 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 ❯

in data engineering at a senior level Strong hands-on knowledge of Databricks Experience with AWS cloud platforms inlcuding S3, Redshift, Glue or Lambda Expertise in data warehousing and ETL processes Ability to work both independently and as part of a collaborative team Why join us? £60,000 salary Flexible hybrid working (2 days a week in our Leeds office More ❯

to a range of modern technologies including some of the below: Cloud platforms (GCP, AWS, Azure) and hybrid hosting architectures APIs, microservices, and modular applications Data strategies (data lifecycle, ETL, data modelling, governance) Cybersecurity Technology sustainability Payments, digital transformation, retail banking Collaboration & Communication Strong communication and storytelling skills Ability to build trusted relationships across engineering, product, and business teams Continuous 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 ❯

about turning raw data into actionable insights.. You will play a key role in supporting business intelligence initiatives, developing and maintaining SQL reports and ensuring the smooth operation of ETL processes connected to my clients data warehouse. Key experience: Proven experience in a data focused SQL development role strong command of T-SQL with a track record of writing efficient More ❯

including c-level You should have experience working in an Agile delivery environment, ideally using Scrum and\or Kanban. Working knowledge of Python, Tableau, SQL, any cloud platform, and ETL process To find out more and explore this opportunity further, please apply! We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race More ❯

scalable data solutions Define data architecture patterns and standards that support high-quality, governed data and efficient analytics across the organisation Guide and oversee the development of data pipelines, ETL/ELT processes, and data automation strategies to improve data delivery and reduce manual processes Ensure data architecture aligns with industry best practices, data governance standards, and Homes England's … platforms, ideally including Microsoft Azure, Databricks, and associated tools (e.g., Azure Data Factory, Azure SQL, Synapse) Familiarity with modern data engineering practices including the use of automated data pipelines, ETL/ELT processes, and DevOps for data Strong interpersonal and communication skills, with the ability to influence stakeholders and explain complex concepts to both technical and non-technical audiences Understanding More ❯