76 to 100 of 358 ETL Jobs in the UK excluding London

complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of SQL (SQL Performance Tuning) and ETL Experience of data warehousing and data lake solutions. Experience working in an Agile environment. This is an excellent opportunity to join a company as it continues to grow and expand More ❯

Role As a Data Engineer, you'll play a pivotal role in shaping the data infrastructure. Your responsibilities will include: Building and Maintaining Data Pipelines: Design and implement scalable ETL processes to integrate data into our mobile and web applications, as well as internal dashboards. Data Architecture Design: Develop and optimise data storage, retrieval, and processing systems to ensure efficiency More ❯

collaboratively across the business you’ll ensure their data is high-quality, accessible, and compliant with governance and cybersecurity standards.Key Responsibilities • Design, build, and maintain efficient data pipelines and ETL workflows.• Develop and optimise relational and non-relational database systems.• Collaborate with analysts, researchers, and IT teams to deliver tailored data solutions.• Implement and maintain data governance and metadata frameworks. More ❯

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 More ❯

of algorithmic thinking and performance optimisation. Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra. Experience with systems like Kafka or RabbitMQ. Ability to build and manage ETL pipelines using tools like Airflow. This role is an urgent requirement. There are limited interview slots left. If interested, send an up-to-date CV to Shoaib Khan - or call More ❯

in a highly skilled, collaborative environment with access to end-to-end business data. You'll: Lead the design and implementation of data warehousing solutions Develop robust data models, ETL pipelines, and data integration processes Take end-to-end ownership of demand delivery Provide technical mentorship and support (2nd/3rd line) Collaborate with business partners, data scientists, and report 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 ❯

ll Be Doing: Leading cross-functional teams of architects, engineers, and analysts to design and deliver scalable, modern data solutions Architecting robust cloud-native data platforms using modern RDBMS, ETL/ELT, and streaming tech Engaging stakeholders and owning the technical vision across full project lifecycles Shaping product-led data strategies using Data Mesh, Data Fabric, and event-driven patterns 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 and 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. More ❯

Infor Syteline). Solid understanding of ERP (Enterprise Resource Planning) concepts and functionalities. Strong understanding of business processes in finance, supply chain, or manufacturing domains. Experience with data migration, ETL processes, and API integrations. Experience with SQL, scripting languages, and data integration tools. Excellent analytical and problem-solving skills, with an eye for detail. Exceptional communication and interpersonal abilities, capable 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 ❯

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 ❯

and communication skills Knowledge of BI tools and data governance frameworks Experience of business case development and options appraisal analysis Familiarity with Data & BI concepts such as Data Warehousing, ETL processes, and dashboard/reporting tools (ideally Power BI and Microsoft SQL/Azure A solid understanding of project governance and lifecycle documentation Ideally, you will be a collaborative team More ❯

. Experience designing and building data lakes and modern data platforms. Proficiency with Python, SQL, and data pipeline orchestration tools (e.g., Airflow, dbt). Strong understanding of data modelling, ETL/ELT processes, and distributed systems. Knowledge of data security, governance, and compliance best practices. Excellent leadership, communication, and stakeholder engagement skills. What's on Offer: Greenfield project: the chance More ❯

data is readily consumable by analysts, scientists, and stakeholders. You’ll also play a key role in governance, security, and data visualisation initiatives. Key responsibilities include: Building and optimising ETL pipelines and data workflows. Ingesting and integrating datasets from multiple sources. Supporting data modelling and analytics initiatives. Applying security and governance best practices. Developing dashboards and visualisation tools for business More ❯

complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of SQL (SQL Performance Tuning) and ETL Experience of data warehousing and data lake solutions. Experience working in an Agile environment. This is an excellent opportunity to join a company as it continues to grow and expand More ❯

development Skilled in Google Cloud Platform (GCP) and cloud data tools Background in CRM systems and customer data structures Understanding of data warehousing concepts and cloud architecture Experience with ETL tools and frameworks Airflow, Git, CI/CD pipeline Data Insights reporting experience Competent with real-time data processing and streaming technologies Proficiency in Tableau or other data visualisation tools More ❯

development * Skilled in Google Cloud Platform (GCP) and cloud data tools * Background in CRM systems and customer data structures * Understanding of data warehousing concepts and cloud architecture * Experience with ETL tools and frameworks Airflow, Git, CI/CD pipeline * Data Insights reporting experience * Competent with real-time data processing and streaming technologies * Proficiency in Tableau or other data visualisation tools More ❯

a central, accessible system What you'll bring: Excellent SQL and Python skills Proven experience building centralised data platforms (Snowflake, Azure Data Factory, or similar) Strong data warehousing and ETL experience Ability to work in fast-paced, less structured environments and propose scalable solutions Experience mentoring or managing juniors (or ready to step into that responsibility) Background in commodities, trading More ❯

architects, developers, and stakeholders Facilitate workshops and support data governance initiatives Contribute to enterprise data strategy decisions Requirements: Strong SQL, relational database design, and data modelling skills Experience with ETL, data warehousing, and platforms like SQL Server, Oracle, Snowflake Familiarity with ServiceNow and cloud architecture Deep understanding of enterprise systems and data flows Experience with API integrations and system interfaces More ❯

architects, developers, and stakeholders Facilitate workshops and support data governance initiatives Contribute to enterprise data strategy decisions Requirements: Strong SQL, relational database design, and data modelling skills Experience with ETL, data warehousing, and platforms like SQL Server, Oracle, Snowflake Familiarity with ServiceNow and cloud architecture Deep understanding of enterprise systems and data flows Experience with API integrations and system interfaces More ❯

a Data Architect , ideally in a law firm or professional services Deep knowledge of Azure-native data services , including: Azure Synapse Analytics Azure Data Lake Gen2 Azure Data Factory (ETL/ELT) Azure Databricks Azure Purview (data governance) Microsoft Fabric Hands-on expertise in data modelling (conceptual, logical, and physical) Experience with MDM platforms (e.g., Profisee, Semarchy, CluedIn, Reltio) Strong More ❯

development skills using Node.js, Python, Java, or similar. Strong understanding of API design and integration techniques (REST, Webhooks, GraphQL). Familiarity with authentication protocols (OAuth2, JWT). Experience with ETL/ELT frameworks and data pipeline tools. Solid understanding of relational and NoSQL databases. Hands-on experience with AWS cloud services and integration tools. Strong debugging, analytical, and communication skills. More ❯

Brilliant team culture + socials What you'll need: Strong SQL skills - you'll be optimising queries and managing complex financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing solutions - Snowflake experience would be brilliant More ❯

in cloud platforms (AWS, Azure, GCP, Snowflake). Technical Skills Proficiency in big data tools (Apache Spark, Hadoop). Programming knowledge (Python, R, Java) is a plus. Understanding of ETL/ELT, SQL, NoSQL, and data visualisation tools. Awareness of ML/AI integration into data architectures. Governance & Lifecycle Strong grasp of data architecture lifecycle and modern design principles. Knowledge More ❯