1 to 25 of 362 ETL Jobs in the UK excluding London

Key Responsibilities: Data Pipelines and ETL Processes ETL Design: Design and implement ETL processes within MaPS architectural patterns to extract, transform, and load data from various source systems into our reporting solutions. Pipeline Development: Develop and configure meta-data driven data pipelines using data orchestration tools such as Azure Data factory and engineering tools like Apache Spark to ensure seamless … these tools. You will need to demonstrate the following skills and experience; Proven experience as a Data Engineer, with a focus on Azure services. Strong expertise in designing and implementing ETL processes. Experience in using SQL to query and manipulate data. Proficiency in Azure data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Lake Storage/One Lake, and More ❯

experience in... Extensive experience in implementing solutions around Databricks, Azure Data Factory, SQL, Python Excellent understanding of Microsoft SQL Server and data modelling,An understanding of SQL, T-SQL, ETL/ELT, and Data Pipelines.Previous exposure in a Data Engineering capacity is highly sought after. Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around Azure. This More ❯

Information Technology, or a related field. Proficiency in SQL, with experience in MSSQL and PostgreSQL. Experience with data visualization tools like Excel, Power BI, Tableau, or similar. Experience with ETL tools, preferably Talend. Basic understanding of OLAP concepts and data warehousing principles. Familiarity with Python for data manipulation and scripting. Strong analytical and problem-solving skills. Experience in agile environments More ❯

and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python, SQL, and Spark Experience with data modelling, ETL/ELT processes, and pipeline orchestration Familiarity with CI/CD and DevOps practices in a data engineering context Excellent communication and stakeholder engagement skills Desirable: Experience with Delta Lake More ❯

and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python, SQL, and Spark Experience with data modelling, ETL/ELT processes, and pipeline orchestration Familiarity with CI/CD and DevOps practices in a data engineering context Excellent communication and stakeholder engagement skills Desirable: Experience with Delta Lake More ❯

and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python, SQL, and Spark Experience with data modelling, ETL/ELT processes, and pipeline orchestration Familiarity with CI/CD and DevOps practices in a data engineering context Excellent communication and stakeholder engagement skills Desirable: Experience with Delta Lake More ❯

in shaping the future of data-driven decision-making across the institution. This is an exciting opportunity for someone with strong expertise in Azure, ADF, Azure SQL Server, pipelines, ETL, database, Dev-Ops, and Power to contribute to the development of cutting-edge data solutions, influence the organisation's BI strategy, and mentor others in best practices. Key Responsibilities Contribute More ❯

date with new technologies, and recommending improvements to architecture practices. Technical Skills & Experience Must-have: Extensive experience designing and implementing enterprise-scale data architectures Proficiency in data integration and ETL processes. Advanced skills in SQL, Python, or equivalent programming languages. Strong knowledge of data governance, data security, and compliance frameworks. Expertise in Master & Reference Data Management and Data Quality best More ❯

architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using More ❯

architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using More ❯

architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using More ❯

to support the successful integration of acquisitions and system upgrades. A strong background in Python programming is preferred, as the successful candidate will leverage Python to build and automate ETL (Extract, Transform, Load) processes, perform data validation and reconciliation, and develop custom scripts to facilitate data extraction and transformation between varied systems. Collecting and documenting data requirements. Pro-actively ensuring … platform and pipelines are reliable and robust, fixing issues as they arise and proposing & implementing stability improvements Develop, deploy and maintain ETL/ELT pipelines to automate financial data collection, transformation, validation and exception reporting Actively engaging with stakeholder across multiple departments. Data platforms administration Ensure relevant technical documentation is in place About you: We are looking for someone who … should have: Excellent writing and communication skills with an attention to detail Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytic tools Experience designing data warehouse technical architectures and infrastructure components Programming experience in Python Skills and experience we’d love you to have... Understanding More ❯

to support the successful integration of acquisitions and system upgrades. A strong background in Python programming is preferred, as the successful candidate will leverage Python to build and automate ETL (Extract, Transform, Load) processes, perform data validation and reconciliation, and develop custom scripts to facilitate data extraction and transformation between varied systems. Collecting and documenting data requirements. Pro-actively ensuring … platform and pipelines are reliable and robust, fixing issues as they arise and proposing & implementing stability improvements Develop, deploy and maintain ETL/ELT pipelines to automate financial data collection, transformation, validation and exception reporting Actively engaging with stakeholder across multiple departments. Data platforms administration Ensure relevant technical documentation is in place About you: We are looking for someone who … should have: Excellent writing and communication skills with an attention to detail Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytic tools Experience designing data warehouse technical architectures and infrastructure components Programming experience in Python Skills and experience we’d love you to have... Understanding More ❯

must be confident working across: Azure Data Services, including: Azure Data Factory Azure Synapse Analytics Azure Databricks Microsoft Fabric (desirable) Python and PySpark for data engineering, transformation, and automation ETL/ELT pipelines across diverse structured and unstructured data sources Data lakehouse and data warehouse architecture design Power BI for enterprise-grade reporting and visualisation Strong knowledge of data modelling More ❯

modernisation of the data estate, migrating legacy SQL Server warehouses into Azure. You will play a key role in shaping the new cloud data platform. Responsibilities: Build and optimise ETL/ELT pipelines with Azure Data Factory, Synapse, and SQL Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models More ❯

DevOps and collaborate with the Software Delivery Manager and data engineering leadership. What you'll need Hands-on Databricks experience Strong Azure Cloud knowledge Proficient in SQL, Python, PySpark ETL & pipeline design (Matillion preferred, alternatives acceptable) Practical data modelling & pipeline architecture Terraform or Bicep for IaC About the company The company is one of the longest-established financial advice networks More ❯

DevOps and collaborate with the Software Delivery Manager and data engineering leadership. What you'll need Hands-on Databricks experience Strong Azure Cloud knowledge Proficient in SQL, Python, PySpark ETL & pipeline design (Matillion preferred, alternatives acceptable) Practical data modelling & pipeline architecture Terraform or Bicep for IaC About the company The company is one of the longest-established financial advice networks More ❯

initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience More ❯

initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience More ❯

Design and maintain robust data models and storage solutions mainly using but not limited to SSIS, XML, T-SQL (SSMS) & python. Design, develop, and maintain APIs Optimize performance of ETL/ELT processes and database queries. Implement monitoring and alerting for data workflows. Collaboration & Stakeholder Engagement Work closely with analysts understand data needs. Translate business requirements into technical solutions. Document More ❯

ensure data is readily available, reliable, and efficient for various purposes, including data science and business intelligence. This will also include developing and maintaining API integrations with systems to extract and load data into the database. The role will also be responsible for designing, developing, and maintaining interactive Power BI dashboards using advanced SQL and Python to extract, transform, and … advanced SQL queries and Python scripts for data extraction, transformation, and modelling. Design, build, and maintain scalable database solutions that ensure high availability, security, and performance. Build and maintain ETL (Extract, Transform, Load) pipelines to automate the movement and transformation of data from multiple sources into a central database. Develop and maintain API integrations with business systems to ensure seamless … design. Hands-on experience with SQL for database querying, optimisation, and Power BI data modelling. Proficiency in Python for data manipulation, automation, and advanced analytics. Experience designing and implementing ETL processes and data pipelines. Experience with API development and integration for data ingestion. Ability to analyse, model, and interpret data, including identifying trends and patterns in complex datasets. Familiarity with More ❯

background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to validate, test, and build data engineering solutions. Strong communication skills with ability to translate between technical and non-technical stakeholders. Desirable More ❯

Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Responsibilities: Design, develop, and maintain robust and scalable ETL/ELT pipelines using Snowflake as the data warehouse. Implement data transformations and build analytical data models using dbt (data build tool). Develop and optimize complex SQL queries for More ❯

Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Responsibilities: Design, develop, and maintain robust and scalable ETL/ELT pipelines using Snowflake as the data warehouse. Implement data transformations and build analytical data models using dbt (data build tool). Develop and optimize complex SQL queries for More ❯

Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Responsibilities: Design, develop, and maintain robust and scalable ETL/ELT pipelines using Snowflake as the data warehouse. Implement data transformations and build analytical data models using dbt (data build tool). Develop and optimize complex SQL queries for More ❯