276 to 300 of 686 ETL Jobs in the UK excluding London

for growth and the chance to collaborate across the wider technology teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. More ❯

Kafka/Pulsar/Kinesis Strong SQL & relational DBs (Postgres/MySQL) Coding experience in Java/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data modeling Nice to have: Iceberg/Delta/Hudi, Airflow/Dagster/Prefect, Python/TypeScript, data governance. More ❯

for growth and the chance to collaborate across the wider technology teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. More ❯

please note this is not a typical Data Engineering role. SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI) Platform LSF, Jira, Platform Support GIT Strong expertise in ETL tools: Pentaho, Talend Experience with data virtualization using Denodo Proficiency in SAS for data analytics and reporting Oracle (good to have) Solid understanding of Agile and Scrum frameworks Hands-on More ❯

predictive modeling, AI/ML, clustering, segmentation, and statistical analysis . Requirements: Strong SQL skills. Experience with BI tools such as Looker, Tableau, or equivalent. Knowledge of data warehousing, ETL systems , or modern equivalents like DBT. Proven ability to communicate insights to stakeholders and drive action. Strong problem-solving skills and ability to explain complex concepts simply. Adaptable, quick to More ❯

successful in this role, you will have: Proven experience in data engineering using Azure, Databricks, and SQL. Strong leadership and mentoring skills within data or BI teams. Expertise in ETL orchestration and data architecture in an Azure cloud environment. Excellent communication and stakeholder engagement skills. Some of the package/role details include: Salary up to £95,000 Discretionary annual More ❯

Kubernetes), and virtualisation (VMware, IaaS tools like Ansible, Terraform) Excellent analytical, problem-solving, and communication skills Experience working within Agile or DevOps environments Preferred: Knowledge of data integration techniques (ETL, data mapping) Certifications in software architecture or integration technologies Join a forward-thinking team where your expertise will directly impact the success of critical software systems. Apply now to be More ❯

data platforms from on-premises data centres to public cloud environments (Azure preferred but not required). Deep knowledge of cloud services for data storage, data cataloguing/lineage, ETL processes, and data pipelines for ingestion, transformation, and delivery. Proficiency in Python and SQL for data processing, along with experience in implementing DevOps practices and an SRE mindset for continuous More ❯

Cloud flows, RPA) Dataverse (Advanced schema design, entity relationships, security roles) Microsoft 365: Integration with SharePoint, Teams, Exchange SQL: Complex queries and stored procedures Performance tuning and query optimisation ETL processes, data migration, and database design (desirable) Additional Skills: API integration Azure DevOps Application Lifecycle Management Workflow design (e.g., Visio) UX/UI principles .NET (beneficial but not essential) Soft More ❯

Cloud flows, RPA) Dataverse (Advanced schema design, entity relationships, security roles) Microsoft 365: Integration with SharePoint, Teams, Exchange SQL: Complex queries and stored procedures Performance tuning and query optimisation ETL processes, data migration, and database design (desirable) Additional Skills: API integration Azure DevOps Application Lifecycle Management Workflow design (e.g., Visio) UX/UI principles .NET (beneficial but not essential) Soft More ❯

Strong problem-solving and troubleshooting skills. Comfortable working in a remote, fast-paced environment. Desirable Skills: Experience working with other BI tools and technologies. Familiarity with data warehousing and ETL processes. Knowledge of DevOps practices in a BI context is a plus. If you are looking for a flexible, remote role where you can apply your Power BI and SQL More ❯

shape the future of data. Key Responsibilities: Oversee daily management and maintenance of data systems. Ensure robust data system security and patching. Support the team in producing Data and ETL services. Conduct data analysis, design, and remediation activities. Engage in transformation activities and champion change agendas. Identify and propose enhancements for data-centric processes. Create high-quality functional and technical More ❯

internal customers. What we're looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial More ❯

shape the future of data. Key Responsibilities: Oversee daily management and maintenance of data systems. Ensure robust data system security and patching. Support the team in producing Data and ETL services. Conduct data analysis, design, and remediation activities. Engage in transformation activities and champion change agendas. Identify and propose enhancements for data-centric processes. Create high-quality functional and technical More ❯

Rest such as TLS/SSL, Data Encryption Knowledge in MQ & AMQ concepts such as RabbitMQ & Oracle MQ Expertise Knowledge in Data Management workflow & integration such as Data Lake, ETL , Data Ingestion, Sharding, Data Stream, Data Catalogue, Data Cleansing, Data Analytics, Batch, Scheduling Implementation knowledge on principles such as ACID, SOLID, OWASP Knowledge on UK GDPR, PII, PCI-DSS data More ❯

field and/or statistical background. Technical requirements: Proficient in SQL?and hands-on coding experience with Python for Data Analytics Experience with setting up and automating data pipelines, ETL processes, etc Proficiency in using data visualization tools such as PowerBI or Tableau In-depth experience with Adobe Analytics or Google Analytics Expert at designing, running and interpreting AB tests. More ❯

Ability to partner with less technical business users to understand, document, and optimize data flows between systems. Data Pipeline Design and Implementation: Experienced in designing and implementing data pipelines (ETL/ELT/streaming) for robust data ingestion, transformation, and distribution, ensuring access to reliable data for analysis and decision-making. Relational Databases: Deep understanding of relational database technologies such More ❯

Ability to partner with less technical business users to understand, document, and optimize data flows between systems. Data Pipeline Design and Implementation: Experienced in designing and implementing data pipelines (ETL/ELT/streaming) for robust data ingestion, transformation, and distribution, ensuring access to reliable data for analysis and decision-making. Relational Databases: Deep understanding of relational database technologies such More ❯

the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Role Overview: Job Title: Data AWS Engineer Location: Northampton (hybrid: 2-3 days in office … Creating and implementing data pipelines to move data between different systems and applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL) processes to move and transform data. Data Governance and Security: Implementing data governance and security policies for data storage and processing. … Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating data in relational databases. ETL Processes: Experience with ETL tools and techniques. Cloud Computing: Familiarity with cloud computing concepts and principles. Data Architecture: Understanding of data architecture principles and best practices. Data Modeling: Understanding of More ❯

the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Role Overview: Job Title: Data AWS Engineer Location: Northampton (hybrid: 2-3 days in office … Creating and implementing data pipelines to move data between different systems and applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL) processes to move and transform data. Data Governance and Security: Implementing data governance and security policies for data storage and processing. … Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating data in relational databases. ETL Processes: Experience with ETL tools and techniques. Cloud Computing: Familiarity with cloud computing concepts and principles. Data Architecture: Understanding of data architecture principles and best practices. Data Modeling: Understanding of More ❯

the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Role Overview: Job Title: Data AWS Engineer Location: Northampton (hybrid: 2-3 days in office … Creating and implementing data pipelines to move data between different systems and applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL) processes to move and transform data. Data Governance and Security: Implementing data governance and security policies for data storage and processing. … Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating data in relational databases. ETL Processes: Experience with ETL tools and techniques. Cloud Computing: Familiarity with cloud computing concepts and principles. Data Architecture: Understanding of data architecture principles and best practices. Data Modeling: Understanding of More ❯

and implementing data engineering best-practice (e.g., source-to-target mappings, coding standards, data quality, etc.), working closely with the external party who setup the environment Create and maintain ETL processes, data mappings & transformations to orchestrate data integrations. Ensure data integrity, quality, privacy, and security across systems, in line with client and regulatory requirements Optimise data solutions for performance and … Demonstrable experience in all aspects of the data engineering role, ideally as a senior or lead engineer. Strong, hands-on experience of Azure Data Factory for managing and orchestrating ETL processes Experience with Microsoft Fabric Products Strong SQL experience, including SQL queries and stored procedures, and formal database design methodologies Experience in setting up monitoring and data quality exception handling More ❯

risk assessment activities. Utilize data modeling tools (e.g., Erwin, Visio, Lucidchart ) to create and maintain models that reflect business and technical requirements. Data Engineering & Pipelines Build, optimize, and maintain ETL/ELT pipelines for both structured and unstructured data . Implement scalable and efficient data warehousing solutions on relational and NoSQL platforms. Analytics & Reporting Develop and implement reporting and analytics … modeling . Experience with relational and NoSQL databases such as Oracle, Sybase, PostgreSQL, SQL Server, MongoDB . Familiarity with big data platforms (e.g., Hadoop, Snowflake). Prior experience with ETL tools or as a SQL developer . Proficiency in Python for data engineering and Tableau for reporting and dashboards. Exposure to cloud platforms like AWS, Azure , or Google Cloud Platform More ❯

data architecture, ensuring performance and scalability. Design, develop, and optimise SQL queries, stored procedures, and ETL pipelines. Work with AWS S3 data lakes and ERP systems to extract, transform, and load data. Ensure data accuracy and integrity across multiple sources. Integrate services via RESTful APIs and manage structured/unstructured data formats. Data Visualisation & Automation Build interactive dashboards in BI … Support forecasting and predictive analytics to guide strategic decisions. Translate complex data into clear, actionable recommendations. Required Skills & Experience Strong SQL expertise, including optimisation and performance tuning. Experience in ETL development, data modelling, and large datasets. Proficiency with BI tools such as Power BI, Superset, or Tableau. Experience with AWS data tools and governance. Strong analytical mindset with a focus More ❯

Bus, Event Grid, and API Management. Define and enforce integration architecture standards, patterns, and best practices across the enterprise. Develop and maintain a comprehensive enterprise integration architecture, including SOA, ETL, and event-driven capabilities. Prototype innovative integration solutions and document detailed specifications. Stakeholder Collaboration Work closely with business stakeholders, developers, and IT teams to gather and understand complex business requirements. More ❯