176 to 200 of 725 ETL Jobs in the UK excluding London

or integration engineering. Strong proficiency with AWS cloud-native services. Solid SQL skills and scripting experience (Python preferred). Expertise in data modelling and mapping complex transformations. Familiarity with ETL/ELT tools and streaming technologies (Kafka, Kinesis). Experience with CI/CD pipelines and infrastructure as code (Terraform or CloudFormation). Excellent communication skills – able to translate business More ❯

or integration engineering. Strong proficiency with AWS cloud-native services. Solid SQL skills and scripting experience (Python preferred). Expertise in data modelling and mapping complex transformations. Familiarity with ETL/ELT tools and streaming technologies (Kafka, Kinesis). Experience with CI/CD pipelines and infrastructure as code (Terraform or CloudFormation). Excellent communication skills – able to translate business More ❯

shape and deliver the company’s long-term data strategy, driving better insights and smarter decisions across the business. What You’ll Be Doing Building and optimising data pipelines, ETL/ELT processes, and reporting infrastructure. Collaborating with cross-functional teams — from Product and DevOps to senior leadership — to deliver impactful MI and BI solutions. Designing and developing dashboards and More ❯

shape and deliver the company’s long-term data strategy, driving better insights and smarter decisions across the business. What You’ll Be Doing Building and optimising data pipelines, ETL/ELT processes, and reporting infrastructure. Collaborating with cross-functional teams — from Product and DevOps to senior leadership — to deliver impactful MI and BI solutions. Designing and developing dashboards and More ❯

shape and deliver the company’s long-term data strategy, driving better insights and smarter decisions across the business. What You’ll Be Doing Building and optimising data pipelines, ETL/ELT processes, and reporting infrastructure. Collaborating with cross-functional teams — from Product and DevOps to senior leadership — to deliver impactful MI and BI solutions. Designing and developing dashboards and More ❯

shape and deliver the company’s long-term data strategy, driving better insights and smarter decisions across the business. What You’ll Be Doing Building and optimising data pipelines, ETL/ELT processes, and reporting infrastructure. Collaborating with cross-functional teams — from Product and DevOps to senior leadership — to deliver impactful MI and BI solutions. Designing and developing dashboards and More ❯

governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data lakes, warehouses (e.g., Snowflake, BigQuery), BI/reporting, and ETL pipelines. Proficiency in public cloud platforms (AWS, Google Cloud Platform, Microsoft Azure). Experience with both transactional RDBMS and modern distributed/cloud-native databases. Familiarity with reporting and analytics More ❯

governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data lakes, warehouses (e.g., Snowflake, BigQuery), BI/reporting, and ETL pipelines. Proficiency in public cloud platforms (AWS, Google Cloud Platform, Microsoft Azure). Experience with both transactional RDBMS and modern distributed/cloud-native databases. Familiarity with reporting and analytics More ❯

governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data lakes, warehouses (e.g., Snowflake, BigQuery), BI/reporting, and ETL pipelines. Proficiency in public cloud platforms (AWS, Google Cloud Platform, Microsoft Azure). Experience with both transactional RDBMS and modern distributed/cloud-native databases. Familiarity with reporting and analytics More ❯

years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD More ❯

data into commercial insight. What We're Looking For Proven experience in a Senior BI or data leadership role, ideally within financial services Strong technical expertise in data warehousing, ETL, and data visualisation tools (ideally Power BI) Hands-on experience with Azure data technologies Excellent stakeholder management and communication skills. A strategic mindset with the ability to influence and lead More ❯

Python, C#, or similar languages. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data pipelines, and database management. Working knowledge of ML/AI concepts and technologies, including model deployment and monitoring. Strong problem-solving skills and the ability to work across disciplines More ❯

data engineering using Azure, Databricks, SQL, and Azure Data Factory, including medallion architecture. Proven leadership in guiding teams through complex data deliveries and adopting best practices. Strong background in ETL orchestration and hybrid cloud integration. Hands-on experience with Power BI and DAX, building dashboards that drive actionable insights. Excellent communication skills, with the ability to translate technical concepts into More ❯

data engineering using Azure, Databricks, SQL, and Azure Data Factory, including medallion architecture. Proven leadership in guiding teams through complex data deliveries and adopting best practices. Strong background in ETL orchestration and hybrid cloud integration. Hands-on experience with Power BI and DAX, building dashboards that drive actionable insights. Excellent communication skills, with the ability to translate technical concepts into More ❯

data engineering using Azure, Databricks, SQL, and Azure Data Factory, including medallion architecture. Proven leadership in guiding teams through complex data deliveries and adopting best practices. Strong background in ETL orchestration and hybrid cloud integration. Hands-on experience with Power BI and DAX, building dashboards that drive actionable insights. Excellent communication skills, with the ability to translate technical concepts into More ❯

processes (batch and streaming) from diverse sources Collaborate with AI engineers and product teams to define data requirements and integrate pipelines seamlessly with models and applications. Build and maintain ETL/ELT processes that ensure data integrity, consistency, and accuracy across systems. Optimize data infrastructure for performance, cost efficiency, and scalability in cloud environments. Develop and manage graph-based data More ❯

processes (batch and streaming) from diverse sources Collaborate with AI engineers and product teams to define data requirements and integrate pipelines seamlessly with models and applications. Build and maintain ETL/ELT processes that ensure data integrity, consistency, and accuracy across systems. Optimize data infrastructure for performance, cost efficiency, and scalability in cloud environments. Develop and manage graph-based data More ❯

processes (batch and streaming) from diverse sources Collaborate with AI engineers and product teams to define data requirements and integrate pipelines seamlessly with models and applications. Build and maintain ETL/ELT processes that ensure data integrity, consistency, and accuracy across systems. Optimize data infrastructure for performance, cost efficiency, and scalability in cloud environments. Develop and manage graph-based data More ❯

for data analysis and validation. Experience in data architecture principles and data governance. Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory Data). Preferred Experience with ETL tools and data integration processes. Familiarity with data warehousing concepts and cloud data platforms. Exposure to Fivetran, SSIS, or Snowflake advanced features. Personal Besides the professional qualifications of the candidates More ❯

for data analysis and validation. Experience in data architecture principles and data governance. Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory Data). Preferred Experience with ETL tools and data integration processes. Familiarity with data warehousing concepts and cloud data platforms. Exposure to Fivetran, SSIS, or Snowflake advanced features. Personal Besides the professional qualifications of the candidates More ❯

for data analysis and validation. Experience in data architecture principles and data governance. Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory Data). Preferred Experience with ETL tools and data integration processes. Familiarity with data warehousing concepts and cloud data platforms. Exposure to Fivetran, SSIS, or Snowflake advanced features. Personal Besides the professional qualifications of the candidates More ❯

a team what to do, run some whiteboard design sessions (realising you've used a permanent marker, you quickly leave the room) Qualifications Data Warehousing, Data Modelling, Database Design, ETL AWS Redshift, AWS Glue, S3, SQL Server, Power BI Cloud/DevOps AWS, Docker, Terraform Bitbucket, Bamboo, CI/CD deploy pipeline Agile, pair programming, code reviews Additional Information Were More ❯

experience with data lakehouse architecture (e.g DataBricks,Redshift, Snowflake, BigQuery). Exposure to cloud services and their configuration (e.g AWS). Experience in building and documenting data architectures and ETL/ELT processes, with a strong emphasis on performance, security, and data lineage. Proven ability to apply data engineering best practices (e.g., CI/CD, testing, metadata management) to deliver More ❯

experience with data lakehouse architecture (e.g DataBricks,Redshift, Snowflake, BigQuery). Exposure to cloud services and their configuration (e.g AWS). Experience in building and documenting data architectures and ETL/ELT processes, with a strong emphasis on performance, security, and data lineage. Proven ability to apply data engineering best practices (e.g., CI/CD, testing, metadata management) to deliver More ❯

members through technical guidance. Collaborate with stakeholders to deliver user-centric solutions. About the Candidate The ideal candidate will possess the following: Strong understanding of data warehousing, ELT/ETL processes, and data modelling. Proficiency in Azure, Snowflake, and DBT. Experience in application modernisation and migration. Ability to produce clean, testable, maintainable code. CI/CD pipeline implementation and test More ❯