151 to 175 of 730 ETL Jobs in the UK excluding London

and support their career development. About You Strong interpersonal skills and ability to influence and collaborate effectively. Expertise in Python for data engineering, pipelines, ETL, and data models. Experience managing databases (Snowflake preferred), including permissions and design. Familiarity with GitHub and agile project management. Knowledge of Power BI or similar More ❯

reliable data systems and optimising data workflows. Accountabilities: Design, develop, and maintain scalable and secure data pipelines Implement best practices for data integration and ETL/ELT Collaborate with data analysts and scientists to meet their data needs Optimise the performance and reliability of data systems Lead technical projects related More ❯

well as working familiarity with a variety of databases Working knowledge of one or more of the cloud platforms (AWS, Azure, GCP) Experience building ETL/ELT pipelines specifically using DBT for structured and semi-structured datasets Any orchestration toolings such as Airflow, Dagster, Azure Data Factory, Fivetran etc It More ❯

in AWS and/or Azure. Knowledge of PostgreSQL and Database Design Principles. Exposure to JavaScript frameworks, preferably React. Experience in designing and maintaining ETL processes. Solid understanding of Software Development Best Practices such as CI/CD. Experience working with software products focused on analytics. Bachelor's Degree (or More ❯

system knowledge. Troubleshoot data warehouse and integration issues and implement enhancements for improved performance and reliability. Contribute to the design, development, and maintenance of ETL pipelines and reporting systems. Requirements: Microsoft SQL Server Database deployed on-premise and in the cloud. Always On replication to a secondary DR host. Ability More ❯

We integrate data from Dynamics 365 (CE & F&O) and other sources, building efficient data structures to support analytical insights. By developing and optimizing ETL/ELT pipelines, we ensure data accuracy, consistency, and performance across the warehouse. Leveraging Azure Data Services such as Synapse, Data Factory, and SQL Server … design, build, and maintain an internal data warehouse using the Kimball methodology. The ideal candidate will have expertise in creating fact and dimension tables, ETL processes, and ensuring data integrity. Experience with Dynamics 365 CE & F&O is highly desirable. KEY DUTIES AND RESPONSIBILITIES Design and implement a Kimball-style … data warehouse architecture, including fact and dimension tables. Develop and optimize ETL/ELT pipelines to integrate data from Dynamics 365 (CE & F&O) and other sources. Collaborate with business stakeholders to define key business metrics and reporting needs. Ensure data quality, consistency, and performance across the warehouse. Work with More ❯

Data Engineer - Leading Energy Company - London (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Company Overview: Join a dynamic team, a leading player in the energy sector, committed to innovation and sustainable solutions. Our client are seeking a talented Data Engineer to help … energy sector. Right to work in the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong programming More ❯

This role is key to maintaining and evolving our data platform, supporting both ongoing enhancements and greenfield development. You will work on data integration, ETL pipelines, analytics, and AI-driven insights, ensuring robust data solutions that support business growth. You will be responsible for designing, building, and optimising Azure Data … opportunity to make a real impact in a small, skilled team, helping shape the firm’s data strategy and capabilities. Technical Skills Data Integration & ETL Azure Data Factory (ADF): Expert in setting up, configuring, and maintaining Azure Data Factory pipelines for efficient ETL processes, with a strong focus on data … reliability and performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management: Advanced knowledge More ❯

Tools Proficiency: Expertise in Power BI, Tableau or similar visualisation tools. SQL and Databases: Strong knowledge of SQL, data warehousing concepts, and database management. ETL Processes: Experience with Extract, Transform, Load (ETL) processes (e.g. SSIS, AWS Glue, DBT). Data Modelling: Ability to create and manage data models. Data Analysis More ❯

skills Ability to translate complex technical concepts for non-technical audiences Technical Skills Data modeling and database design principles Data governance tools and platforms ETL/ELT processes and technologies Business intelligence and analytics tools Cloud data platforms (AWS, Azure, GCP) Data quality management and profiling tools Metadata management principles More ❯

out management reports and dashboards, utilising data effectively across the organisation. Transform data sets into usable insights through the creation of robust and efficient ETL processes. Liaise with business teams to develop creative solutions which help solve problems, identify opportunities and add value to the business. Produce reports for senior More ❯

out management reports and dashboards, utilising data effectively across the organisation. Transform data sets into usable insights through the creation of robust and efficient ETL processes. Liaise with business teams to develop creative solutions which help solve problems, identify opportunities and add value to the business. Produce reports for senior More ❯

tools • Strong communication and stakeholder management skills • Familiarity with GitHub for version control and documentation Bonus Points For: • Python skills • Knowledge of JSON and ETL/data ingestion workflows • Experience with AI/ML techniques for predictive modelling Benefits: • Generous staff discount (up to 50%!) • 30 days holiday (incl. bank More ❯

optimisation. Your expertise: Experience building serverless functions in AWS and/or Azure. Experience writing TypeScript and Python. Experience with cloud data warehouses and ETL processes. Experience writing SQL and/or SQLX. Understanding of observability practices including logging, monitoring, and alerting. Interest in AI/ML technologies and their More ❯

About the job Role requirements: Collaborate with data engineers to understand ETL/ELT processes using ADF and Databricks. Develop test plans and test cases for data pipelines, including transformation logic validation and end-to-end data flow. Validate data accuracy, completeness, and consistency across systems (e.g., landing, staging, transformation More ❯

Scala, Python, SQL and Ideally experience with Delta Lake or Databricks workflows, jobs, etc. Familiarity with Azure Data Lake: experience with data ingestion and ETL/ELT frameworks Data Governance experience – Metadata, Data Quality, Lineage, Data Access Models Good understanding of Data Modelling concepts, Data Products and Data Domains Unity More ❯

engineers and drive best practices across modern data platforms. ✅ Hands-on with Azure Data Factory, Synapse, and Fabric ✅ Strong SQL & Python skills ✅ Experience across ETL/ELT, data lakes, modelling, and governance ✅ Exposure to Spark, Kafka, or Snowflake a plus ✅ Agile/DevOps mindset and experience with Git, APIs, microservices More ❯

different technical solutions. The following skills/experience is required: Strong data modelling, data warehousing and analytics background Excellent DevOps experience track record with ETL processes, and database design. Proficient in SQL and experience with various database technologies. Strong cloud platforms like AWS or Azure, particularly in data-related services. More ❯

doing: Helping analyse customer service data to generate actionable insights Supporting the migration from a traditional data warehouse to Microsoft Fabric Building and maintaining ETL processes (SSIS), reports (Power BI, some SSRS), and working with Azure Data Factory Learning our core systems (Azure, Microsoft CRM, housing systems) and contributing to More ❯

doing: Helping analyse customer service data to generate actionable insights Supporting the migration from a traditional data warehouse to Microsoft Fabric Building and maintaining ETL processes (SSIS), reports (Power BI, some SSRS), and working with Azure Data Factory Learning our core systems (Azure, Microsoft CRM, housing systems) and contributing to More ❯

At least 5 years' experience in Power BI development and administration. Advanced skills in DAX, Power Query, and data modelling. Strong understanding of SQL, ETL processes, and cloud-based data sources. Familiarity with Microsoft Fabric is advantageous. Excellent analytical, communication, and leadership skills. Benefits include private healthcare, performance bonuses, enhanced More ❯

in the UK is must (No Sponsorship available) Responsibilities: Design, build, and maintain scalable and reliable data pipelines on Google Cloud Platform (GCP) Develop ETL processes using tools like Cloud Dataflow, Apache Beam, BigQuery, and Cloud Composer Collaborate with data analysts, scientists, and business stakeholders to understand data requirements Optimize More ❯

architectural approaches. Support proposal development by providing technical input, solution design narratives, and estimations for data platform engagements. Define best practices around data modelling, ETL/ELT pipelines, and data platform scalability. Champion cloud-native principles and modern data stack adoption. Contribute to internal capability building and thought leadership within More ❯

Azure stack, with tools such as Fabric, Azure Data Factory, Synapse Analytics, Data Lake, Azure SQL, and related services. Solid understanding of data modelling, ETL/ELT frameworks, and performance optimisation. Excellent communication skills, including the ability to present technical content to business stakeholders. Experience designing secure, compliant, and cost More ❯

architectural approaches. Support proposal development by providing technical input, solution design narratives, and estimations for data platform engagements. Define best practices around data modelling, ETL/ELT pipelines, and data platform scalability. Champion cloud-native principles and modern data stack adoption. Contribute to internal capability building and thought leadership within More ❯