51 to 75 of 579 ETL Jobs in the UK

end-to-end data solutions, including acquisition, engineering, modelling, analysis, and visualisation. Lead client workshops to gather requirements and communicate effectively across technical and business stakeholders. Design and implement ETL/ELT pipelines using Microsoft Fabric, Azure Synapse, or Databricks - experience with at least one of these platforms is essential. Build scalable data lake solutions using medallion architecture principles. Migrate More ❯

T-SQL), Python, and BI/data platform engineering. Strong hands-on experience with AWS analytics stack and Power BI. Proven track record in designing and deploying production-grade ETL/ELT pipelines. Experience supporting and integrating operational systems (TMS/WMS/FMS). Solid understanding of data modelling, performance tuning, and infrastructure as code. Desirable Skills & Certifications AWS More ❯

as required Key Skills: T-SQL and SQL Server (2016 or later preferred). Python for scripting, data processing, and automation. Experience of SQL Database Administrator. Experience of SSIS ETL concepts and data warehouse design principles. Experience of Microsoft SSRS and PowerBI (or similar Reporting Technology). Understanding of Datawarehouse Principles. Excellent problem-solving skills and attention to detail. Strong More ❯

WFHDuration: 3 months rolling contractType of contract : Freelance, Inside IR35Level: mid-Senior Duties and Tasks: Develop and optimize data pipelines using Databricks and Spark.Design and implement data models and ETL processes in Snowflake.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.Ensure data quality, integrity, and security across platforms.Monitor and troubleshoot data workflows and performance issues. Requirements: Proven More ❯

database platforms Cloud Architecture: Experience with Azure data services (Azure Data Factory, Azure Synapse, Azure Data Lake) Data Governance: Understanding of data quality, data lineage, and metadata management principles. ETL/ELT Processes: Experience designing and implementing data integration workflows. Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Data Warehousing: Experience with dimensional modelling and More ❯

Databricks Engineer London- hybrid- 3 days per week on-site 6 Months + UMBRELLA only- Inside IR35 Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Airflow for orchestration and scheduling. Build and manage data transformation workflows in DBT running on Databricks . Optimize data models in Delta Lake for performance, scalability, and cost efficiency. Collaborate with analytics More ❯

Extensive experience in designing cloud data platforms using Azure, AWS, or exceptional on-premise design expertise. - At least 5 years in data engineering or business intelligence roles. - Proficiency in ETL and data pipeline design, with a technology-agnostic approach. - A solid understanding of data warehouse and data lake principles. - Expert SQL skills and demonstrable data modelling capabilities. About the Company More ❯

Extensive experience in designing cloud data platforms using Azure, AWS, or exceptional on-premise design expertise. - At least 5 years in data engineering or business intelligence roles. - Proficiency in ETL and data pipeline design, with a technology-agnostic approach. - A solid understanding of data warehouse and data lake principles. - Expert SQL skills and demonstrable data modelling capabilities. About the Company More ❯

Extensive experience in designing cloud data platforms using Azure, AWS, or exceptional on-premise design expertise. - At least 5 years in data engineering or business intelligence roles. - Proficiency in ETL and data pipeline design, with a technology-agnostic approach. - A solid understanding of data warehouse and data lake principles. - Expert SQL skills and demonstrable data modelling capabilities. About the Company More ❯

Extensive experience in designing cloud data platforms using Azure, AWS, or exceptional on-premise design expertise. - At least 5 years in data engineering or business intelligence roles. - Proficiency in ETL and data pipeline design, with a technology-agnostic approach. - A solid understanding of data warehouse and data lake principles. - Expert SQL skills and demonstrable data modelling capabilities. About the Company More ❯

focus on Snowflake and Power BI. Strong expertise in data modelling, query optimisation, and Power BI development (DAX, dashboards). Hands-on with dbt, SQL, Python, and ELT/ETL pipeline development. Experience with Azure Data Factory (ADF), and migrating legacy data platforms to cloud solutions. Financial services exposure, ideally with market or credit risk analytics. Ability to produce technical More ❯

are looking for experience in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design Working knowledge of Power BI or similar More ❯

are looking for experience in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design Working knowledge of Power BI or similar More ❯

are looking for experience in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design Working knowledge of Power BI or similar More ❯

are looking for experience in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design Working knowledge of Power BI or similar More ❯

are looking for experience in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design Working knowledge of Power BI or similar More ❯

all areas of the business. Over time, this role will evolve to include in-depth customer analytics and segmentation to drive enhanced business performance. Responsibilities: Design, build, and maintain ETL pipelines, ensuring data is structured and accessible to support all areas of the business. Integrate datasets from various sources to provide a unified customer and activity-level view. Collaborate with More ❯

all areas of the business. Over time, this role will evolve to include in-depth customer analytics and segmentation to drive enhanced business performance. Responsibilities: Design, build, and maintain ETL pipelines, ensuring data is structured and accessible to support all areas of the business. Integrate datasets from various sources to provide a unified customer and activity-level view. Collaborate with More ❯

are looking for experience in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design Working knowledge of Power BI or similar More ❯

all areas of the business. Over time, this role will evolve to include in-depth customer analytics and segmentation to drive enhanced business performance. Responsibilities: Design, build, and maintain ETL pipelines, ensuring data is structured and accessible to support all areas of the business. Integrate datasets from various sources to provide a unified customer and activity-level view. Collaborate with More ❯

with BI teams to enable dashboards and data-driven insights aligned with business goals. Skills & Experience Required Technical & Analytical Skills Strong understanding of HR data structures, relational databases, and ETL processes. Experience with major HRIS platforms such as Workday, SAP SuccessFactors, or Oracle HCM . Proficiency in Excel, SQL , and data visualisation/reporting tools such as Power BI . More ❯

Power BI or Microsoft BI stack. Understanding of MDX cubes for OLAP and multidimensional analysis. Experience of pulling data from Snowflake and SQL Server and MDX Cubes. Knowledge of ETL processes and data warehousing concepts. Personal Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include: High analytical skills High More ❯

technology domains including CMS, CRM, Martech platforms, data pipelines, analytics, and cloud services. Exposure to CDPs (e.g., Bloomreach, Segment, BlueConic, Tealium) and data integration pipelines. Understanding of data modelling, ETL processes, and basic analytics or BI tools like Power BI or Tableau. Experience in the sports, entertainment, or fan engagement domain is a strong plus. What can we offer you More ❯

Technical Requirements of the Successful Candidate: Proven experience delivering data solutions using Microsoft Fabric, including OneLake, Dataflows, Notebooks, and Power BI.? Strong understanding of data architecture, data modeling, and ETL/ELT processes.? Experience with Azure Data Services (e.g., Synapse, Data Factory, Databricks) is a plus.? Demonstrates an understanding of enterprise BI and Data Warehousing tools, concepts and methods? Experience More ❯

Data Engineer (Talend/Snowflake)Goole – Hybrid (1-2 days in the office)PermanentCompetitive salary Elevation IT are looking for a skilled Data Engineer with proven expertise in ETL, data warehousing, and modern cloud platforms. In this role, you’ll design and optimise data pipelines that power decision-making across the business. You’ll work hands-on with Talend, Snowflake … SQL, and Python to build scalable solutions, ensure data quality and enable seamless integration across systems. Duties & Responsibilities: Extract, transform, and load (ETL) data from diverse sources, including ERP and cloud-based systems Automate processes using scripting and integration tool Ensure data quality, integrity, and consistency throughout projects Collaborate with business users, IT teams, and project stakeholders to understand data … structures and requirements Provide technical leadership and mentoring to fellow data engineers Troubleshoot data issues and optimize pipeline performance Document ETL processes and develop best practices for scalability and reuse Key Skills & Experience Proven experience in data engineering projects and data warehousing Strong expertise with Talend and Snowflake Solid knowledge of ETL tools and data transformation techniques (JSON, XML) Proficiency More ❯