276 to 300 of 340 ETL Jobs in England

native solutions Essential leveraging AWS, Azure, or GCP Desirable Extensive exprience in developing architectural strategies, blueprints for hybrid and cloud-native solutions ELT/ETL Frameworks & Pipelines Essential Develop robust ELT/ETL pipelines using tools like Apache Airflow, DBT, AWS Glue, Azure Data Factory, or Kafka Connect. Desirable Optimize

utilities, financial services, government and public services, health and life sciences, and transport. The Data Engineer will have experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. You will join the business at a period of huge growth. WE ALSO … business with a diverse and growing capability, and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis

Experience handling large datasets, complex data pipelines, big data processing frameworks and technologies AWS or Azure cloud experience Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering skills … solutions for delivering high-quality care. The ideal candidate will lead the design and execution of cloud-based based scalable data storage solutions, oversee ETL pipeline development and optimisation, establish and manage data schemes and dictionaries, develop data integration solutions, lead data cleansing, validation, and enrichment processes. Duties include: Working

high-quality reporting, analytics and data warehouse solutions. In this role, you will design and develop SQL Server data warehouses, build and maintain SSIS ETL processes, and create engaging reporting solutions using SSRS and Power BI. You'll support data analysis across the business, ensure data integrity, manage BI system … and Power BI Advanced SQL Server capabilities: T-SQL, stored procedures, and performance tuning Experience designing and building data warehouses and star schemas Strong ETL experience using SQL Server SSIS Proficiency with Power BI, including DAX and Power Query Experience with Visual Studio and Microsoft BI development tools Familiarity with

after-sales service operations, or transportation management. Familiarity with ERP systems like SAP and Oracle and their integration with Kinaxis. Expertise in systems integration, ETL tools, data mapping, and end-to-end implementation processes. Strong organizational skills, with the ability to manage competing priorities in a fast-paced environment. Certifications

after-sales service operations, or transportation management. Familiarity with ERP systems like SAP and Oracle and their integration with Kinaxis. Expertise in systems integration, ETL tools, data mapping, and end-to-end implementation processes. Strong organizational skills, with the ability to manage competing priorities in a fast-paced environment. Certifications

languages (including Python), and commonly used IDE's Experience with developing, scheduling, maintaining and resolving issues with batch or micro-batch jobs on AWS ETL or Azure ETL services Experience querying data stored on AWS S3 or Azure ADLSv2, or through a Lakehouse capability Experience in managing API-level and

languages (including Python), and commonly used IDE's Experience with developing, scheduling, maintaining and resolving issues with batch or micro-batch jobs on AWS ETL or Azure ETL services Experience querying data stored on AWS S3 or Azure ADLSv2, or through a Lakehouse capability Experience in managing API-level and

Architecture Define the enterprise-wide integration strategy, including the governance of integration patterns (such as synchronous APIs, event-driven architecture, asynchronous messaging, and batch ETL). Lead the design and documentation of internal and external APIs, ensuring best practice in RESTful design, versioning, and OpenAPI standards. Work with Engineering and … Data teams to standardise the technical approach for messaging, data extraction, transformation, and load (ETL/ELT) processes across underwriting, finance, accounting, and data warehouse systems. Design secure, scalable, and auditable architectures for Generative AI, Agentic AI, and large language model (LLM) technologies. Collaborate with data scientists, engineers, and developers

Architecture Define the enterprise-wide integration strategy, including the governance of integration patterns (such as synchronous APIs, event-driven architecture, asynchronous messaging, and batch ETL). Lead the design and documentation of internal and external APIs, ensuring best practice in RESTful design, versioning, and OpenAPI standards. Work with Engineering and … Data teams to standardise the technical approach for messaging, data extraction, transformation, and load (ETL/ELT) processes across underwriting, finance, accounting, and data warehouse systems. Design secure, scalable, and auditable architectures for Generative AI, Agentic AI, and large language model (LLM) technologies. Collaborate with data scientists, engineers, and developers

join the business on a permanent basis and support a major data transformation. As a Senior Data Engineer, youll design and deliver robust, automated ETL pipelines and database solutions that power business-critical insights. Youll use your advanced SQL skills to build and optimise data structures, alongside tools such … role offers a base salary of £60,000 to £75,000 plus strong benefits and flexible working. Key Responsibilities: Design, build, and maintain automated ETL pipelines and high-performance database structures. Manage and enhance a Snowflake ecosystem for streaming and batch workflows. Support the adoption of Generative AI (GenAI) and

BRING Essential: 1+ years hands-on Power BI experience Strong DAX skills (measures, calculated columns, complex calculations) SQL knowledge for querying and data structures ETL experience and data pipeline understanding Excellent communication and stakeholder engagement skills Requirements gathering with non-technical stakeholders Data storytelling ability Self-starter with proactive approach … Finance or retail experience Self-service analytics background Modern data architecture knowledge Mathematics or quantitative degree TECH STACK Power BI Desktop & Service, DAX, SQL, ETL tools, modern data architecture (medallion architecture) THE IDEAL CANDIDATE You're a communicator who loves working with business stakeholders. You're comfortable being the face

scope and deliver projects. Contribute to technical delivery, designing scalable data solutions in Azure/Microsoft environments. Support cloud migrations, data lake builds, and ETL/ELT pipeline development. Ensure delivery follows best practices and internal standards. Skills & Experience Strong leadership and relationship-building skills. Experience guiding or managing technical … experience in Data Engineering using Microsoft Fabric, Azure Databricks, Synapse, Data Factory, and/or SQL Server. Expertise in SQL and Python for ETL/ELT development. Knowledge of data lakes, medallion lakehouse architecture, and large-scale dataset management. Solid understanding of BI, data warehousing, and database optimisation. To apply

scope and deliver projects. Contribute to technical delivery, designing scalable data solutions in Azure/Microsoft environments. Support cloud migrations, data lake builds, and ETL/ELT pipeline development. Ensure delivery follows best practices and internal standards. Skills & Experience Strong leadership and relationship-building skills. Experience guiding or managing technical … experience in Data Engineering using Microsoft Fabric, Azure Databricks, Synapse, Data Factory, and/or SQL Server. Expertise in SQL and Python for ETL/ELT development. Knowledge of data lakes, medallion lakehouse architecture, and large-scale dataset management. Solid understanding of BI, data warehousing, and database optimisation. To apply

Responsibilities Develop and maintain Power BI reports and dashboards Build robust data models and perform data ingestion within Power BI Design and implement ETL processes to support reporting needs Create DAX measures and calculated columns for business intelligence solutions Enable self-service reporting for non-technical users Collaborate with finance … finance team Required Skills & Experience 2-3 years' experience in a Power BI/Data Analyst role Strong experience with: Power BI DAX SQL ETL processes Experience in data modelling and building scalable reporting solutions Excellent stakeholder engagement and communication skills Positive, proactive attitude and strong interpersonal skills Desirable Microsoft

with some management experience Experience handling large datasets, complex data pipelines, big data processing frameworks and technologies Experience with data modelling, Databricks, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering skills … solutions for delivering high-quality care. The ideal candidate will lead the design and execution of cloud-based based scalable data storage solutions, oversee ETL pipeline development and optimisation, establish and manage data schemas and dictionaries, develop data integration solutions, and lead data cleansing, validation, and enrichment processes. Duties include

data delivery squads. As an SME, you'll develop and implement scalable and efficient data solutions using ADF and Databricks, build and maintain robust ETL pipelines for data transformation, and optimise data processing jobs for performance and cost. What will you bring to the role? Experienced Senior Data Engineer, technically … and SQL. A collaborative, supportive approach with the ability to step up as technical lead, communicate clearly and support colleagues Proficiency in data modelling, ETL development, and data warehousing concepts. Understanding of DevOps and Automation. Strong analytical and problem-solving abilities And in return, you'll get the best from

design robust migration strategies to move complex datasets to cloud environments. You will develop scripts and automated processes for data extraction, transformation, and loading (ETL), ensuring data quality and integrity throughout the migration process. Working closely with business users and IT teams, you will plan, coordinate, and execute migrations within … strategies, enabling accurate and efficient migration from on-premises databases such as SQL Server, Oracle, MySQL, and NoSQL to AWS cloud. Strong knowledge of ETL processes is essential, including experience with tools such as Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi, or scripting languages like Python, PySpark, and SQL. A solid

working when possible Must hold active Enhanced DV Clearance (West) Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our client is a trusted and growing supplier to the National Security sector, delivering mission … utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi). Ensure data consistency, quality, and security across all processes. Create and maintain database schemas and data models. Integrate and enrich data

technical delivery when needed, including designing scalable data solutions in Microsoft/Azure environments. Contribute to innovation through cloud migrations, data lakes, and robust ETL/ELT solutions. What We're Looking For Hands-on Data Engineering experience (not Data Analyst or Data Scientist roles). Strong background in Azure … Synapse, Databricks, or Microsoft Fabric. Expertise in ETL/ELT development using SQL and Python. Experience implementing data lakes and medallion lakehouse architecture. Skilled in managing large datasets and writing advanced SQL/Python queries. Solid understanding of BI and data warehousing concepts. Excellent communication skills and ability to build

technical delivery when needed, including designing scalable data solutions in Microsoft/Azure environments. Contribute to innovation through cloud migrations, data lakes, and robust ETL/ELT solutions. What We're Looking For Hands-on Data Engineering experience (not Data Analyst or Data Scientist roles). Strong background in Azure … Synapse, Databricks, or Microsoft Fabric. Expertise in ETL/ELT development using SQL and Python. Experience implementing data lakes and medallion lakehouse architecture. Skilled in managing large datasets and writing advanced SQL/Python queries. Solid understanding of BI and data warehousing concepts. Excellent communication skills and ability to build

and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this … guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations

and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this … guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations

and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this … guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations

and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this … guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations