101 to 125 of 578 ETL Jobs in the UK

solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc, Informatica, etc.) Implement governance & quality frameworks (Unity Catalog, Profisee, Alation, DQ Pro) Engage clients at C-suite level to shape roadmaps & business cases Mentor More ❯

SSIS Developer London- Hybrid- 3 days on-site per week 6 months + UMBRELLA only- Inside IR35 Experienced SSIS Developer to design, develop, and maintain robust ETL processes using SQL Server Integration Services (SSIS) . The ideal candidate will work closely with business analysts … data architects, and stakeholders to ensure reliable data integration, transformation, and delivery across enterprise systems. Key Responsibilities Design, develop, test, and deploy ETL packages using SSIS to extract, transform, and load data from multiple sources into data warehouses, data marts, or operational systems. Optimize and troubleshoot existing SSIS packages for performance, scalability, and reliability. Develop and maintain SQL queries, stored … procedures, functions, and views to support ETL and reporting processes. Implement error handling, logging, and auditing within SSIS packages. Schedule and automate ETL jobs using SQL Server Agent or equivalent job schedulers. Collaborate with data architects and business analysts to understand business requirements and translate them into technical solutions. Perform data validation and quality checks to ensure integrity and accuracy More ❯

able to work effectively with both business and technical teams. Even better if you have Experience working with retail, FMCG or other operational data environments. Exposure to data pipelines, ETL processes or data modelling. Hands on experience using data to drive operational change or performance improvement. Familiarity with how data flows from source systems into BI tools. A track record More ❯

or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You’ll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why Apply? Modern tech stack, fast-paced environment Direct impact on data strategy Quick 2-stage process + excellent More ❯

or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You’ll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why Apply? Modern tech stack, fast-paced environment Direct impact on data strategy Quick 2-stage process + excellent More ❯

or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You’ll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why Apply? Modern tech stack, fast-paced environment Direct impact on data strategy Quick 2-stage process + excellent More ❯

or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You’ll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why Apply? Modern tech stack, fast-paced environment Direct impact on data strategy Quick 2-stage process + excellent More ❯

or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You’ll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why Apply? Modern tech stack, fast-paced environment Direct impact on data strategy Quick 2-stage process + excellent More ❯

or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You'll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why Apply? Modern tech stack, fast-paced environment Direct impact on data strategy Quick 2-stage process + excellent More ❯

in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity, and a mindset that thrives in fast-moving environments Why You’ll Love It Work on meaningful data challenges that directly impact their products Small, high More ❯

in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity, and a mindset that thrives in fast-moving environments Why You’ll Love It Work on meaningful data challenges that directly impact their products Small, high More ❯

in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity, and a mindset that thrives in fast-moving environments Why You’ll Love It Work on meaningful data challenges that directly impact their products Small, high More ❯

10+ years in BI/Data Warehousing, including 4+ years in solution/technical architecture Strong hands-on expertise in Databricks and cloud platforms (Azure, AWS, GCP) Experience with ETL/ELT tooling (Databricks, ADF, Informatica, SSIS, IBM DataStage) Proficiency in enterprise data modelling (ERwin, ER/Studio, Power Designer) Skilled with BI/reporting tools (Power BI, Tableau, QlikView More ❯

10+ years in BI/Data Warehousing, including 4+ years in solution/technical architecture Strong hands-on expertise in Databricks and cloud platforms (Azure, AWS, GCP) Experience with ETL/ELT tooling (Databricks, ADF, Informatica, SSIS, IBM DataStage) Proficiency in enterprise data modelling (ERwin, ER/Studio, Power Designer) Skilled with BI/reporting tools (Power BI, Tableau, QlikView More ❯

10+ years in BI/Data Warehousing, including 4+ years in solution/technical architecture Strong hands-on expertise in Databricks and cloud platforms (Azure, AWS, GCP) Experience with ETL/ELT tooling (Databricks, ADF, Informatica, SSIS, IBM DataStage) Proficiency in enterprise data modelling (ERwin, ER/Studio, Power Designer) Skilled with BI/reporting tools (Power BI, Tableau, QlikView More ❯

and resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

10+ years in BI/Data Warehousing, including 4+ years in solution/technical architecture Strong hands-on expertise in Databricks and cloud platforms (Azure, AWS, GCP) Experience with ETL/ELT tooling (Databricks, ADF, Informatica, SSIS, IBM DataStage) Proficiency in enterprise data modelling (ERwin, ER/Studio, Power Designer) Skilled with BI/reporting tools (Power BI, Tableau, QlikView More ❯

and resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

10+ years in BI/Data Warehousing, including 4+ years in solution/technical architecture Strong hands-on expertise in Databricks and cloud platforms (Azure, AWS, GCP) Experience with ETL/ELT tooling (Databricks, ADF, Informatica, SSIS, IBM DataStage) Proficiency in enterprise data modelling (ERwin, ER/Studio, Power Designer) Skilled with BI/reporting tools (Power BI, Tableau, QlikView More ❯

and presentation skills. Preferred Skills Knowledge of FP&A, supply chain, workforce, or sales planning processes. Experience with data visualization tools (Power BI, Tableau, or similar). Familiarity with ETL tools, APIs, or middleware for system integrations. Anaplan Solution Architect certification (a plus for senior roles). More ❯

with strong hands-on Snowflake expertise. Proven experience with SQL (advanced query writing, optimisation, performance tuning). Strong Python skills for data transformation, automation, and pipeline development. Experience with ETL/ELT tools (e.g., dbt, Matillion, Talend, or similar). Exposure to cloud platforms (AWS preferred, Azure/GCP also considered). Familiarity with Git/version control and CI 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 ❯

with strong hands-on Snowflake expertise. Proven experience with SQL (advanced query writing, optimisation, performance tuning). Strong Python skills for data transformation, automation, and pipeline development. Experience with ETL/ELT tools (e.g., dbt, Matillion, Talend, or similar). Exposure to cloud platforms (AWS preferred, Azure/GCP also considered). Familiarity with Git/version control and CI More ❯

in data engineering with proven delivery in cloud platforms (AWS, Azure, or GCP). Expertise in Snowflake development and optimisation. Strong skills in Python and SQL for ELT/ETL and transformation workflows. Experience with cloud native storage and compute tools: S3, Data Lake, ADF, Redshift, Synapse, etc. Familiarity with CI/CD pipelines, test automation, and DevOps practices in More ❯

ASAP. Key Requirements: Proven expertise in Data Architecture working on large, complex Data Programmes Strong Data Modelling experience (especially Conceptual Data Models) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven More ❯