1 to 25 of 63 Contract ETL Jobs in the UK excluding London

Main duties of the job To deliver and maintain data transfer pipelines between clinical/operational source systems and the Christie Central Data Repository (CCDR). Ensure that all extract, transform and load (ETL) processes are robust, operate efficiently and fully documented. Learn and assist in the development of new tools, technologies and methods of working as they are identified … appropriate data warehousing design and software development methodologies agreed for use within the team. Produce detailed technical specifications and documentation for the support, maintenance, monitoring and quality assurances of ETL processes. Investigate, support, correct and prevent issues relating to existing Trust developed data reporting systems and processes, identifying issues and implementing resolutions in a timely manner. Participate in the sprint … and deployment of Business Intelligence functions in a large/complex organisation. Substantial experience of SQL Server database/data warehouse development maintenance and support. Substantial experience of handling ETL solutions and issues across a range of systems. Substantial experience of delivering complex data and reporting projects. Experience in task resource estimation for sprint planning. Experience in creating and updating More ❯

governance, and supporting analytics teams with high-quality, reliable data. Key Responsibilities: Develop and maintain scalable data pipelines using Azure Data Factory, Synapse, Databricks, and Microsoft Fabric. Build efficient ETL/ELT processes and data models to support analytics, reporting, and dashboards. Optimise existing pipelines for performance, reliability, and cost efficiency. Implement best practices for data quality, error handling, automation More ❯

standards, models, and frameworks. Design data solutions leveraging Azure services such as Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks. Data Integration & ETL Develop and optimize data pipelines for ingestion, transformation, and storage using Azure Data Factory and Databricks. Governance & Security Implement data governance, security, and compliance practices aligned with financial services regulations More ❯

design, build, and optimise scalable data pipelines and lakehouse architectures on Azure, enabling advanced analytics and data-driven decision making across the business. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high-performance data solutions using Azure More ❯

WFHDuration: 3 months rolling contractType of contract : Freelance, Inside IR35Level: mid-Senior Duties and Tasks: Develop and optimize data pipelines using Databricks and Spark.Design and implement data models and ETL processes in Snowflake.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.Ensure data quality, integrity, and security across platforms.Monitor and troubleshoot data workflows and performance issues. Requirements: Proven More ❯

and external sources, ensuring data quality, governance, and integrity.* Implement efficient data models and schemas within Snowflake, and use DBT for transformation, orchestration, and workflow management.* Optimise ELT/ETL processes for improved performance, cost efficiency, and scalability.* Troubleshoot and resolve data pipeline issues swiftly and effectively across the data platform.* Work with orchestration tools such as Airflow, ADF, or More ❯

on experience with Data Testing either with Python or Pyspark. Strong hands-on experience with Python Deep understanding of data test concepts, primarily inclined towards ETL. Hands-on with ETL/DWH testing and SQL (any RDBMS). Hands-on experience with any DB (preferably Oracle), including ability to read/understand/alter stored procedures. Strong experience in BDD More ❯

. Significant experience with Qlik Sense and Power BI for dashboards and visualisations. Proven ability to develop insights for diverse audiences, including senior leadership. Strong understanding of data warehousing, ETL processes , and cloud platforms (AWS & Azure). Excellent communication skills to explain technical concepts to non-technical stakeholders. Interested? Apply now to join a team that's unlocking the true More ❯

Skills & Experience Strong expertise in SAS 9.4 (DI) and SAS Viya 3.x (SAS Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding of Agile/Scrum frameworks. More ❯

Skills & Experience Strong expertise in SAS 9.4 (DI) and SAS Viya 3.x (SAS Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding of Agile/Scrum frameworks. More ❯

a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets Key skills and responsibilities: Design, build, and maintain scalable ETL pipelines for ingesting, transforming, and loading data from APIs, databases, and financial data sources into Azure Databricks. Optimize pipelines for performance, reliability, and cost, incorporating data quality checks. Develop complex More ❯

metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming, ETL/ELT, event-driven architectures). Ability to translate complex data concepts into clear, value-focused business outcomes. Excellent stakeholder management and communication skills across technical and non-technical audiences. More ❯

cross-functional teams to deliver robust BI solutions using Microsoft technologies. Technical Expertise : Extensive experience with Microsoft SQL Server, and related database technologies for data extraction, transformation, and loading (ETL). Solution Development : Skilled in designing, developing, and implementing business intelligence solutions, including dashboards and reports using Power BI and SSRS. Data Integration : Proficiency in integrating data from multiple sources More ❯

a Fabric Data/BI Engineer to help create and drive analytics solutions. BI/Data Engineer, key skills: Microsoft Fabric experience Proven data engineering experience - setting up complex ETL processes with ADF pipelines Data visualisation and reporting using PowerBI Data modelling experience - conceptual, logical and physical Proficient in SQL Extensive experience with Microsoft cloud stack Data Engineer, BI Engineer More ❯

This role is 'remote first' and falls OUTSIDE IR35. Key Responsibilities Data Pipeline Development: Design, build, and maintain robust, scalable, and efficient data pipelines using DBT, SQL, Python, and ETL frameworks. Data Modelling: Develop and maintain logical and physical data models to support reporting and analysis needs, implementing best practices for data warehouse design. Data Transformation: Convert raw data from More ❯

days per week on-site), contributing to key data initiatives that support risk and analytics functions across the business. Key Responsibilities: Design, build, and optimise scalable data pipelines and ETL solutions. Work with complex datasets to enable data-driven insights and reporting. Collaborate closely with data scientists, analysts, and business stakeholders to deliver robust data solutions. Support the migration and More ❯

experience (ideally 5 years+) working in a data or Architecture domain across a range of different technologies (including business intelligence, data warehousing, data management and data delivery, database and ETL technologies ) Expertise in data concepts and tools, such as Big Data, ML Ops and Kafka. Confident communicator - able to present complex technical issues in a clear manner to technical and More ❯

focused on migrating data from an Oracle system to a Microsoft Fabric system. The successful candidate will play a critical role in supporting a broader initiative to migrate the ETL engine for the data set from Oracle PL/SQL to PySpark on Microsoft Fabric. Key Responsibilities: - Collaborate closely with the existing team to ensure a smooth transition of data More ❯

retrieval and ensure efficient performance across AWS environments Collaborate with stakeholders to translate business requirements into actionable insights Work with AWS services such as Glue, Lambda, and S3 for ETL and data processing Ensure compliance with government data security and governance standards Essential skills: Strong proficiency in SQL and AWS Athena Hands-on experience with AWS data services (Glue, S3 More ❯

based data processing). Strong knowledge of Azure Data Platform (Data Lake, Synapse, etc.). Proficiency in Python and SQL for data engineering tasks. Understanding of data architecture and ETL processes. Ability to work independently in a remote environment. Nice-to-Have Experience with CI/CD pipelines for data solutions. Familiarity with Delta Lake and ML pipelines . Start More ❯

ticket backlogs effectively at speed is required. Strong communication and organisational skills are essential with knowledge of dbt also being required as Senior Ops/App Support Engineer. Strong ETL, SQL and Data as well as analytics are essential as Senior Ops/App Support Engineer as is in depth knowledge to resolve technical issues (with MuleSoft, Alteryx, Power BI More ❯

to ensure cost-efficient, high-performing workloads. Implement data quality, lineage tracking, and access control policies aligned with Databricks Unity Catalogue and governance best practices. Develop PySpark applications for ETL, data transformation, and analytics, following modular and reusable design principles. Create and manage Delta Lake tables with ACID compliance, schema evolution, and time travel for versioned data management. Integrate Databricks More ❯

Lead initiatives to improve data quality, including profiling, cleansing, monitoring, and remediation strategies. Provide architectural guidance on MDM platform selection, cloud vs. on-prem deployment, and integration patterns (API, ETL, messaging). Support metadata management, lineage tracking, and compliance initiatives. Skills & Experience Required: Hands-on experience with more than one MDM technology/platform (e.g., Riversand, Informatica MDM, Semarchy, TIBCO More ❯

in Microsoft Office skills, including Outlook, Word, Excel and PowerPoint and other applications such as Microsoft 365, SharePoint, Teams and OneDrive. Power Apps and Power Automate experience. Experience in ETL tools, such as SSIS. Business Central experience. Good knowledge and Development experience of MS SQL. Experience in creating UAT scripts. Technical writing experience with the ability to present technical information More ❯

Required Skills/Experience The ideal candidate will have the following: Deep technical expertise across cloud-based data platforms (Microsoft Fabric, AWS, Informatica) and data architecture. Strong experience managing ETL/ELT processes, platform operations, and incident troubleshooting. Proven ability to build platform roadmaps, optimise costs, and deliver measurable ROI. Excellent vendor management and stakeholder engagement skills within complex environments. More ❯