1 to 25 of 69 Contract ETL Jobs in England

Skills & Experience: ·Proven experience in senior data engineering roles, preferably within regulated industries ·Expertise in SQL, Snowflake, DBT Cloud, and CI/CD pipelines (Azure DevOps) ·Hands-on with ETL tools (e.g. Matillion, SNP Glue, or similar) ·Experience with AWS and/or Azure platforms ·Solid understanding of data modelling, orchestration, and warehousing techniques ·Strong communication, mentoring, and stakeholder engagement More ❯

build and maintain scalable and secure data pipelines on the Azure platform. Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics. Optimise ETL/ELT processes to improve performance, reliability and efficiency. Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs. Collaborate with Data Architects, Analysts, and stakeholders More ❯

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 ❯

and star schema design · Hands-on experience with SQL Server and Snowflake, including their architecture, features and best practices · Familiarity with data integration tools (SSIS, ADF) and techniques (ELT, ETL) · Experience with reporting and analytical tools such as SSAS, SSRS or Power BI · Experience of working with risk systems within a financial institution · Track record of application ownership including familiarity More ❯

Strong understanding of relational databases and SQL (PostgreSQL, Snowflake, BigQuery, etc.). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience working with large-scale datasets and complex ETL/ELT processes. Excellent problem-solving and communication skills. Preferred Qualifications: Telecom domain experience is highly desirable. Experience with version control systems (e.g., Git) and CI/CD tools. Knowledge 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 ❯

best practices. * Proficiency in SAP Data Services, SAP HANA, SAP BW, and SAP Analytics cloud. * Experience in SAP cloud platform. * Expertise in SAC architecture for data integration. * Skilled in ETL processes, data modelling, and data validation. * Any 1 Programming knowledge: [Python/SQL/Java]. * Hands on and 'can do' attitude * Excellent leadership, communication, and stakeholder management skills. * Good More ❯

SAP Data Services, SAP HANA, SAP BW, Datasphere and SAP Analytics cloud. * Experience in SAP cloud platform. * Expertise in DSP frameworks and SAC architecture for data integration. * Skilled in ETL processes, data modeling, and data validation. * Any 1 Programming knowledge: [Python/SQL/Java]. * Hands on and 'can do' attitude * Excellent leadership, communication, and stakeholder management skills. * Good 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 ❯

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 ❯