1 to 25 of 193 Remote 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 ❯

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 ❯

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 ❯

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 ❯

Key Responsibilities Lead development of data pipelines and solutions using Databricks, Python, and SQL Design and maintain data models supporting analytics and business intelligence Build and optimise ELT/ETL processes on AWS or Azure Collaborate closely with analysts, architects, and stakeholders to deliver high-quality data products Champion best practices in testing, CI/CD, version control, and infrastructure More ❯

Key Responsibilities Lead development of data pipelines and solutions using Databricks, Python, and SQL Design and maintain data models supporting analytics and business intelligence Build and optimise ELT/ETL processes on AWS or Azure Collaborate closely with analysts, architects, and stakeholders to deliver high-quality data products Champion best practices in testing, CI/CD, version control, and infrastructure More ❯

clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams through training sessions and knowledge sharing Main Skills Needed: Proven experience in More ❯

clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams through training sessions and knowledge sharing Main Skills Needed: Proven experience in More ❯

clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams through training sessions and knowledge sharing Main Skills Needed: Proven experience in More ❯

clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams through training sessions and knowledge sharing Main Skills Needed: Proven experience in More ❯

Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/ELT development in AWS preferred Experience is building a Data Lake as well as building CI/CD data pipelines Excellent communication and problem-solving skills. What's on More ❯

services (BigQuery, Cloud Storage, Dataflow) Proficiency in Power BI for creating reports and dashboards Strong Python skills, including experience with data libraries like Pandas and NumPy Solid background in ETL processes, data pipeline design, and data warehousing Detail-oriented with excellent problem-solving and communication skills Nice to Have: Knowledge of data governance, quality, and security best practices Experience working More ❯