426 to 450 of 690 ETL Jobs in the UK excluding London

data solutions. Support the evaluation, design and implementation of data platforms and tools. Structure and prepare data for analytics, data mining, machine learning and application use. Manage and monitor ETL processes, data migrations and conversions. Ensure compliance with data governance, security, and privacy standards. Contribute to continuous improvement, automation and best practice adoption across DataOps functions. Skills & Experience Solid experience … Server database development, with strong T-SQL skills and query performance optimisation. Demonstrated expertise in data modelling and data mapping , including conceptual, logical and physical design. Strong understanding of ETL design and data warehousing principles. Proficiency working with data in multiple formats (JSON, XML, CSV, etc.). Experience with BI or reporting tools such as Power BI or Tableau . More ❯

Be Doing Data Architecture & Platform Design Design and implement an enterprise data lake on Azure Data Lake Gen2, using Bronze/Silver/Gold architecture. Build and maintain scalable ETL/ELT pipelines in Azure Data Factory to integrate data from core systems (AS400, Tagetik, CRM, Esker, Slimstock). Develop the overall data model, data dictionaries, and lineage documentation. Deliver … Gen2, Azure Data Factory, and Azure Active Directory. Advanced skills in data modelling (conceptual, logical, physical) and SQL for complex transformations. Proven ability to design and build high-performance ETL/ELT pipelines. Understanding of data governance, security, and access control frameworks. Knowledge of batch and real-time data integration and experience with ODBC connectors or REST APIs. Familiarity with More ❯

Be Doing Data Architecture & Platform Design Design and implement an enterprise data lake on Azure Data Lake Gen2, using Bronze/Silver/Gold architecture. Build and maintain scalable ETL/ELT pipelines in Azure Data Factory to integrate data from core systems (AS400, Tagetik, CRM, Esker, Slimstock). Develop the overall data model, data dictionaries, and lineage documentation. Deliver … Gen2, Azure Data Factory, and Azure Active Directory. Advanced skills in data modelling (conceptual, logical, physical) and SQL for complex transformations. Proven ability to design and build high-performance ETL/ELT pipelines. Understanding of data governance, security, and access control frameworks. Knowledge of batch and real-time data integration and experience with ODBC connectors or REST APIs. Familiarity with More ❯

ensuring data is accurate, accessible, and high-quality — driving data-led decision making at every level. What you’ll be doing: Design, build, and maintain scalable data pipelines and ETL processes to support analytics and operations. Develop and optimise data models and storage solutions for performance and reliability. Ensure data quality, integrity, and security throughout the data lifecycle. Collaborate with … date with emerging technologies and recommend system improvements. The skills you’ll need: Strong proficiency in SQL and experience with relational databases. Hands-on experience building data pipelines and ETL processes. Proficiency in Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling, warehousing, and optimisation. Familiarity with big data frameworks (e.g. Apache Spark, Hadoop). More ❯

ensuring data is accurate, accessible, and high-quality - driving data-led decision making at every level. What you'll be doing: Design, build, and maintain scalable data pipelines and ETL processes to support analytics and operations. Develop and optimise data models and storage solutions for performance and reliability. Ensure data quality, integrity, and security throughout the data lifecycle. Collaborate with … date with emerging technologies and recommend system improvements. The skills you'll need: Strong proficiency in SQL and experience with relational databases. Hands-on experience building data pipelines and ETL processes. Proficiency in Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling, warehousing, and optimisation. Familiarity with big data frameworks (e.g. Apache Spark, Hadoop). More ❯

ll Be Doing: Lead and mentor a small team of QA engineers across data and BI testing projects. Define and deliver the overall BI QA strategy, embedding quality throughout ETL pipelines, data models, and reporting layers. Design and implement test frameworks covering data accuracy, governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD … align QA priorities with wider delivery goals. Track quality metrics and introduce continuous improvements to QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation More ❯

ll Be Doing: Lead and mentor a small team of QA engineers across data and BI testing projects. Define and deliver the overall BI QA strategy, embedding quality throughout ETL pipelines, data models, and reporting layers. Design and implement test frameworks covering data accuracy, governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD … align QA priorities with wider delivery goals. Track quality metrics and introduce continuous improvements to QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation More ❯

ll Be Doing: Lead and mentor a small team of QA engineers across data and BI testing projects. Define and deliver the overall BI QA strategy, embedding quality throughout ETL pipelines, data models, and reporting layers. Design and implement test frameworks covering data accuracy, governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD … align QA priorities with wider delivery goals. Track quality metrics and introduce continuous improvements to QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation More ❯

ll Be Doing: Lead and mentor a small team of QA engineers across data and BI testing projects. Define and deliver the overall BI QA strategy, embedding quality throughout ETL pipelines, data models, and reporting layers. Design and implement test frameworks covering data accuracy, governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD … align QA priorities with wider delivery goals. Track quality metrics and introduce continuous improvements to QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation More ❯

Analyse existing data structures and understand business requirements for data migration. Design and implement robust data migration strategies. Develop scripts and processes to automate data extraction, transformation, and loading (ETL) processes. Work closely with stakeholders, including business users and IT teams, to ensure data requirements are met, and migrations proceed without disruption to business operations. Responsibilities: Plan, coordinate, and execute … data migration projects within set timelines. Design and build ETL solutions, ensuring data quality and integrity throughout the migration process. Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda … RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure DB, Azure Synapse, Azure Data lake and Azure Monitor providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom More ❯

Analyse existing data structures and understand business requirements for data migration. Design and implement robust data migration strategies. Develop scripts and processes to automate data extraction, transformation, and loading (ETL) processes. Work closely with stakeholders, including business users and IT teams, to ensure data requirements are met, and migrations proceed without disruption to business operations. Responsibilities: Plan, coordinate, and execute … data migration projects within set timelines. Design and build ETL solutions, ensuring data quality and integrity throughout the migration process. Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda … RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure DB, Azure Synapse, Azure Data lake and Azure Monitor providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom More ❯

Analyse existing data structures and understand business requirements for data migration. Design and implement robust data migration strategies. Develop scripts and processes to automate data extraction, transformation, and loading (ETL) processes. Work closely with stakeholders, including business users and IT teams, to ensure data requirements are met, and migrations proceed without disruption to business operations. Responsibilities: Plan, coordinate, and execute … data migration projects within set timelines. Design and build ETL solutions, ensuring data quality and integrity throughout the migration process. Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda … RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure DB, Azure Synapse, Azure Data lake and Azure Monitor providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom More ❯

DATA ENGINEER - PRIVATE HEALTHCARE - SNOWFLAKE, AZURE, ETL, SQL POWER BI, SSRS, PYTHON Progressive, forward thinking, innovative international private healthcare organisation urgently require a talented Data Engineer to help then shape the future state of the organisation You will: Help create and develop data as they move forward into their … new Snowflake environment to ensure they deliver critical data in an accurate and timely information to the rest of the organisation. Develop and implement data pipelines that extract, transform and load data using into our Snowflake environment for use with reporting tools such as Power BI and SSRS. You are: An Experienced Data Engineer - ETL With in depth experience of … Azure, Snowflake, Power BI, SSRS SQL, ETL Python Aptitude to Solve Complex Problems In return you will get the opportunity to have huge impact in developing, shaping and leading the future state & ways of working of an innovative forward-thinking values driven organisation making a difference. Shortlisting today Salary : £50k-60k + Excellent Benefits Location : Birmingham - Flexible/Hybrid c2 More ❯

which is part of a much larger IT function. Role: Data Movement & Transformation processes between Application/Services/Solutions. Azure Data Factory Pipelines & SSRS reporting solutions - maintenance & optimization ETL - Design, implement & manage ETL processes - ensure accuracy, quality & consistency. Monitor daily Data Loads & ETL workflows. AWS - Support the migration of Data Services to AWS - scalable & cloud-first solutions. Deliver UK … Liaison with IT Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory. AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support - Power BI - desirable experience. Undertake & Support IT Governance processes More ❯

to drive the data migration workstream implement the migration strategy. Requirements: Proven experience leading data migration projects within insurance, reinsurance, or financial services environments. Strong knowledge of data structures, ETL tools, and migration methodologies. Experience with reinsurance business processing is highly desirable. Demonstrated ability to produce migration artefacts such as data mapping documents, migration plans, and validation reports. Excellent communication More ❯

to drive the data migration workstream implement the migration strategy. Requirements: Proven experience leading data migration projects within insurance, reinsurance, or financial services environments. Strong knowledge of data structures, ETL tools, and migration methodologies. Experience with reinsurance business processing is highly desirable. Demonstrated ability to produce migration artefacts such as data mapping documents, migration plans, and validation reports. Excellent communication More ❯

experience as a Data Architect in complex enterprise environments. Strong experience with data modelling tools (e.g. Erwin ). Hands-on experience with Snowflake (highly desirable). Good understanding of ETL processes – familiarity with tools such as Matillion , Talend , or MuleSoft is advantageous. Broader experience with data warehouses and cloud-based architectures. Strong grasp of high-level data concepts and best More ❯

and NB-IoT. Experience Required Hands-on experience with OSS architectural design and integration of external data sources. Familiarity with radio network infrastructure data and planning environments. Experience designing ETL pipelines and API-based data exchanges. Ability to define architectural boundaries and produce high-quality documentation. Understanding of tooling requirements. If this opportunity aligns with your experience, please apply with More ❯

management Solid hands-on C#/.NET skills for APIs, automation, and custom tooling Understanding of data flows, system integrations , and automation best practices Experience with SSIS or similar ETL tools (desirable, not essential) Contract: Permanent Salary: £44,000 – £48,000 per annum Location: Hybrid – 2 days per week in London More ❯

management Solid hands-on C#/.NET skills for APIs, automation, and custom tooling Understanding of data flows, system integrations , and automation best practices Experience with SSIS or similar ETL tools (desirable, not essential) Contract: Permanent Salary: £44,000 - £48,000 per annum Location: Hybrid - 2 days per week in London More ❯

services Design solutions for client problem sets based on their descriptions and by exploration of the data landscape Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and More ❯

services Design solutions for client problem sets based on their descriptions and by exploration of the data landscape Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and More ❯

services Design solutions for client problem sets based on their descriptions and by exploration of the data landscape Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and More ❯

data across multiple data types - text, images, and time-series (tabular) data. The Role You’ll join a small, collaborative data team in a Full stack Data Science role (ETL process through to building predictive models) working on live analytics, forecasting, and AI/ML projects. Key responsibilities include: Enriching and preparing datasets to uncover actionable insights Building and evaluating More ❯

experience. Experience in in writing and optimizing SQL queries for complex datasets. Hands-on experience with AWS services or other cloud platforms. Strong understanding of data modelling principles and ETL processes. These roles are INSIDE IR35 . UK/Ireland based candidates need to relocate to Belfast from start to ending of the project. More ❯