1 to 25 of 52 Contract ETL Jobs in the UK excluding London

working with modern orchestration tools, and applying best practices in security and compliance, this role offers both technical depth and impact. Key Responsibilities Design & Optimise Pipelines - Build and refine ETL/ELT workflows using Apache Airflow for orchestration. Data Ingestion - Create reliable ingestion processes from APIs and internal systems, leveraging tools such as Kafka, Spark, or AWS-native services. Cloud More ❯

resolve complex data issues and performance bottlenecks. Key Skills: 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 More ❯

resolve complex data issues and performance bottlenecks. Key Skills: 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 virtualisation using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

resolve complex data issues and performance bottlenecks. Key Skills: 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 More ❯

complex data issues and performance bottlenecks. Key Skills & Experience: 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 More ❯

and ensure technical delivery aligns with business needs Translate business requirements into logical and physical data models that support scalable, high-performance analytics and reporting solutions Build and automate ETL/ELT pipelines using tools such as Azure Data Factory, as well as scripting with Python and PowerShell Use Power BI to create dashboards and data visualisations, focusing on usability More ❯

resolve complex data issues and performance bottlenecks. Key Skills: 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 More ❯

Repos or similar) - Strong problem-solving and communication skills - GCP certification (eg Associate Cloud Engineer, Professional Cloud Developer) preferred - Experience with CI/CD and handling large datasets/ETL pipelines More ❯

Troubleshoot integration issues and optimize pipeline performance Document workflows and maintain best practices for SnapLogic development Requirements: Proven hands-on experience with SnapLogic (Enterprise Integration Cloud) Strong understanding of ETL/ELT concepts and integration patterns Experience working with APIs, cloud platforms (e.g., AWS, Azure, GCP), and databases (SQL/NoSQL) Familiarity with REST, JSON, XML, and data mapping/ More ❯

Databricks. Your focus will be on enabling analytics and machine learning at scale, using best-in-class tools across the Azure stack. Your responsibilities will include: Designing and deploying ETL pipelines using PySpark and Delta Lake on Databricks. Supporting the deployment and operationalisation of ML models with MLflow and Databricks Workflows. Building out reusable data products and feature stores for More ❯

Proven track record in backend development (e.g., Node.js, Python, Java). Strong knowledge of API design, integration methods (REST, Webhooks, GraphQL), and authentication protocols (OAuth2, JWT). Experience with ETL/ELT tools and frameworks. Solid database skills (SQL and/or NoSQL). AWS cloud platform experience, particularly in integration services. Strong debugging, problem-solving, and communication abilities. Comfortable More ❯

Proven track record in backend development (e.g., Node.js, Python, Java). Strong knowledge of API design, integration methods (REST, Webhooks, GraphQL), and authentication protocols (OAuth2, JWT). Experience with ETL/ELT tools and frameworks. Solid database skills (SQL and/or NoSQL). AWS cloud platform experience, particularly in integration services. Strong debugging, problem-solving, and communication abilities. Comfortable More ❯

engineering best practices and standards across the business Technical skills Cloud data platforms - Azure, AWS, or GCP (Azure preferred) Snowflake - Deep knowledge and hands-on experience Matillion - Expertise in ETL orchestration Data warehousing and advanced analytics Dimensional modelling and data vault methodologies Stakeholder engagement and cross-functional collaboration Flexible hybrid working - 1 day per week onsite in Worcestershire (Tuesday) This More ❯

abilities. GCP certifications such as Associate Cloud Engineer or Professional Cloud Developer . Experience with CI/CD automation on cloud platforms. Background in working with large datasets and ETL pipelines More ❯

understanding of query optimisation and performance tuning. Strong understanding of data warehousing concepts and dimensional data modelling. Experience integrating OBIEE with Oracle and non-Oracle data sources. Familiarity with ETL processes and tools (e.g., ODI, Informatica) is a plus. Experience with Oracle BI Publisher is a bonus. Excellent analytical, problem-solving, and communication skills. Company Market leading financial services organisation More ❯

data pipeline development, resource deployment, and ongoing optimisation of cloud-native systems. Your responsibilities will include: Designing and implementing scalable data lakehouse architectures using Databricks on Azure. Building efficient ETL/ELT pipelines for structured and unstructured data. Working with stakeholders to ensure high-quality, accessible data delivery. Optimising SQL workloads and data flows for analytics performance. Automating infrastructure deployment More ❯

Ensure security and compliance with DV-level clearance standards Skills & Experience: Current DV clearance (essential) Proven experience working with Palantir Foundry in complex environments Strong skills in data engineering, ETL processes, and data modelling Proficiency in relevant programming/scripting languages (e.g. Python, SQL) Experience working with large-scale datasets in secure environments Strong problem-solving skills and stakeholder engagement More ❯

and business rules Experience working with complex datasets from multiple sources (e.g., SQL, Excel, cloud platforms) Ability to communicate insights effectively to technical and non-technical stakeholders Familiarity with ETL processes , data governance, and data quality frameworks Excellent problem-solving skills and attention to detail Reasonable Adjustments: Respect and equality are core values to us. We are proud of the More ❯

in troubleshooting and supporting B2B enterprise applications. Advanced knowledge and hands-on experience with Spark. Experience building, maintaining, and debugging DBT pipelines. Strong proficiency in developing, monitoring, and debugging ETL jobs. Deep understanding of SQL and experience with Databricks, Snowflake, BigQuery, Azure, Hadoop, or CDP environments. Hands-on technical support experience, including escalation management and adherence to SLAs. Familiarity with More ❯

Hands-on experience in Workday reporting, with a preference for those familiar with Workday Prism Analytics or similar data transformation platforms. Solid understanding of data structures, data modelling, and ETL principles. A background in SQL is highly desirable, particularly for those looking to pivot into Workday Prism or similar tools. Advanced Excel skills for ad hoc analysis and data manipulation. More ❯

Responsibilities: Design, construct, install, test and maintain highly scalable data management systems. Ensure systems meet business requirements and industry practices. Design, implement, automate and maintain large scale enterprise data ETL processes. Build high-performance algorithms, prototypes, predictive models and proof of concepts. Technical Skills Required: SQL (5+ years) Python (5+ years) Data Modelling, visualization - Tableau, micro strategy etc and integration More ❯

Spark-SQL, UDF, Sqoop). Experience building and optimizing Big Data pipelines, architectures, and data sets. Familiarity with Hadoop and Big Data ecosystems. Strong knowledge of Data Warehouse and ETL design and development methodologies. Ability to work under pressure and adapt to changing requirements. Excellent verbal and written communication skills, with the ability to explain complex technical issues to non More ❯

that improve transparency, data-driven decision making, and performance tracking Work with large datasets to ensure data integrity and optimise dashboard performance Collaborate with IT and data teams to extract, transform, and load (ETL) data from Oracle, Cognos, Longview and other enterprise platforms Standardise and automate reporting processes where possible Support the adoption and training of Tableau usage across non More ❯

that improve transparency, data-driven decision making, and performance tracking Work with large datasets to ensure data integrity and optimise dashboard performance Collaborate with IT and data teams to extract, transform, and load (ETL) data from Oracle, Cognos, Longview and other enterprise platforms Standardise and automate reporting processes where possible Support the adoption and training of Tableau usage across non More ❯

modern AWS stack and infrastructure-as-code tools to build robust data pipelines and applications that process complex datasets from multiple operational systems.Key Responsibilities: Build and maintain AWS-based ETL/ELT pipelines using S3, Glue (PySpark/Python), Lambda, Athena, Redshift, and Step Functions Develop backend applications to automate and support compliance reporting Process and validate complex data formats More ❯