26 to 50 of 346 ETL Jobs in the UK excluding London

platform for data analytics, including design and deployment of infrastructure. Expertise in creating CI/CD pipelines. Experience in creating FTP (SFTP/FTPS) configurations. Experience in working with ETL/ELT workflows for data analytics. Degree in Computer Science, Mathematics or related subject. Highly desirable skills & exposure: Working collaboratively as part of an Agile development squad. Experience and knowledge More ❯

Aladdin by BlackRock, Yardi Investment Platform, Temenos Multifonds, or portfolio management tools. Understanding of fund structures, regulatory reporting requirements (e.g., UCITS, AIFMD), and investment operations. Experience with data migration, ETL, or systems integration. Familiarity with project delivery methodologies (e.g. Agile, Waterfall, Hybrid). Experience working in the Banking, Insurance, Asset Management, Healthcare, Life Science & Public Sector preferred. Life at Grant More ❯

of actuaries, data scientist and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas. The Role As a Machine … model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and Preprocessing. Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work More ❯

discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Data Engineering Focus: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize data storage and retrieval systems More ❯

agenda, we should discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize data storage and retrieval systems More ❯

agenda, we should discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize data storage and retrieval systems More ❯

BI reporting. * Conveying technical concepts to non-technical stakeholders across the business. Senior Data Engineer - What will you need? * Extensive Data Warehouse Experience. * Proficiency in Azure: Azure Data Factory (ETL), Azure SQL Server, Azure DevOps, Key Vaults and Logic Apps. * Strong Data Modeling Skills. * Familiarity with CI/CD pipelines and agile workflows. * Experience integrating data from diverse sources, ensuring … data accuracy and consistency throughout the ETL process. * Ambition to reduce processing times and improving efficiency. Robert Walters are proud to specialise in BI & Data recruitment across the UK, offering amazing opportunities on a permanent and interim basis. We are also proud to be heading up the Data Leaders roundtables and PBI BRUM meetup group, bringing new and exciting networking More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester(Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies)About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects … an experienced Data Engineer to join their team in Manchester. This hybrid position involves working within the pharmaceutical industry, focusing on the design, development, and maintenance of data pipelines, ETL processes, and databases. The role is ideal for someone passionate about improving processes, ensuring data quality, and maintaining compliance with regulatory standards. focusing on designing, developing, and maintaining data pipelines … ETL processes, and databases. If you are passionate about driving continuous improvement and ensuring data quality and compliance, we want to hear from you.Key Responsibilities:Design, develop, maintain, and optimise data pipelines, ETL processes, and databases.Drive continuous improvement by refining processes, products, and identifying new tools, standards, and practices.Collaborate with teams across the business to define solutions, requirements, and testing More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester (Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies) About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects … an experienced Data Engineer to join their team in Manchester. This hybrid position involves working within the pharmaceutical industry, focusing on the design, development, and maintenance of data pipelines, ETL processes, and databases. The role is ideal for someone passionate about improving processes, ensuring data quality, and maintaining compliance with regulatory standards. focusing on designing, developing, and maintaining data pipelines … ETL processes, and databases. If you are passionate about driving continuous improvement and ensuring data quality and compliance, we want to hear from you. Key Responsibilities: Design, develop, maintain, and optimise data pipelines, ETL processes, and databases. Drive continuous improvement by refining processes, products, and identifying new tools, standards, and practices. Collaborate with teams across the business to define solutions More ❯

BI Solution Architecture, Replication Warehouse, and secure data sets using the Microsoft application stack. Create and maintain secure data sets for systems, enabling Key users to produce reports. Perform ETL integrations and support tasks using Azure Data Factory (ADF) and other technologies. Coach and mentor junior BI professionals. Test and modify new data sets and reports to ensure reliability and … stack and technologies such as ADF, Logic Apps, Data Lake, Data Bricks, Power Query, etc. Experience in low code MS related technologies, SharePoint, Nintex, Power Apps, Power Bi, etc. ETL related experience using SSIS, ADF, or similar products for complex integrations. Role experience as a DBA or in DBA related activities. Relevant further qualification in a business analytics related field. More ❯

BI Solution Architecture, Replication Warehouse, and secure data sets using the Microsoft application stack. Create and maintain secure data sets for systems, enabling Key users to produce reports. Perform ETL integrations and support tasks using Azure Data Factory (ADF) and other technologies. Coach and mentor junior BI professionals. Test and modify new data sets and reports to ensure reliability and … stack and technologies such as ADF, Logic Apps, Data Lake, Data Bricks, Power Query, etc. Experience in low code MS related technologies, SharePoint, Nintex, Power Apps, Power Bi, etc. ETL related experience using SSIS, ADF, or similar products for complex integrations. Role experience as a DBA or in DBA related activities. Relevant further qualification in a business analytics related field. More ❯

deliver impactful dashboards and reports using Power BI. Provide technical guidance and support, acting as a subject matter expert on Azure data tools and best practices. Develop and maintain ETL processes using SQL, SSIS, and Azure Data Factory. Integrate data from diverse sources including internal databases, APIs, and third-party providers. Monitor and tune performance of data components, ensuring data … to support transparency and maintainability. Required Skills & Experience Bachelor’s degree in Computer Science, Information Systems, or a related technical field. 3+ years of experience in data engineering and ETL development. Advanced proficiency in T-SQL, SSIS, and Azure Data Factory. Strong experience with data modelling, performance tuning, and troubleshooting. Proven ability to lead and manage a small technical team. More ❯

deliver impactful dashboards and reports using Power BI. Provide technical guidance and support, acting as a subject matter expert on Azure data tools and best practices. Develop and maintain ETL processes using SQL, SSIS, and Azure Data Factory. Integrate data from diverse sources including internal databases, APIs, and third-party providers. Monitor and tune performance of data components, ensuring data … to support transparency and maintainability. Required Skills & Experience Bachelor's degree in Computer Science, Information Systems, or a related technical field. 3+ years of experience in data engineering and ETL development. Advanced proficiency in T-SQL, SSIS, and Azure Data Factory. Strong experience with data modelling, performance tuning, and troubleshooting. Proven ability to lead and manage a small technical team. More ❯

platform. Strong Data Warehouse experience, hands-on experience with designing, building, and managing DW ideally using Kimball methodology. Hands on with Azure tooling, expertise in Azure Data Factory ADF (ETL processes), Azure SQL Server, Azure DevOps, Key Vaults, and Logic Apps. Experience in optimizing data loads to ensure reliability, scalability, and high performance, with a focus on reducing processing times … a solid understanding of advanced data technologies and practices. Hands on with Integration such as integrating data from a range of sources, ensuring data accuracy and consistency throughout the ETL process. The ability to work closely with the wider business, stakeholders, and other teams to align data solutions with business objectives. Familiarity with CI/CD pipelines and agile workflows. More ❯

visualisations and narratives. Support change management, adoption, and user training. Technical Skills (Required/Desirable): Azure Data Factory, Synapse, Databricks, Microsoft Fabric. Data warehouse & lakehouse architecture. Strong SQL, Python, ETL/ELT knowledge. Power BI and data visualisation tools. Agile delivery experience. You’ll Have: 5+ years in Microsoft data technologies. Strong consulting and stakeholder management experience. Excellent documentation and More ❯

data pipelines (batch and streaming) using Azure Databricks, Spark, and Delta Lake. Implement the Medallion Architecture and ensure consistency across raw, enriched, and curated data layers. Build and optimise ETL/ELT processes using Azure Data Factory and PySpark. Enforce data governance through Azure Purview and Unity Catalog. Apply DevOps and CI/CD practices using Git and Azure DevOps. More ❯

e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools More ❯

in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g. More ❯

initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience More ❯

initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience More ❯

platforms. Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java) Demonstrated experience owning complex technical systems end-to-end, from More ❯

Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product More ❯

Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product More ❯

Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product More ❯

Owner in Agile environments. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools More ❯