26 to 50 of 282 ETL Jobs in the UK excluding London

using React and modern JavaScript/TypeScript. Experience designing and building APIs and distributed systems. Solid understanding of data engineering concepts, including data modelling, ETL/ELT pipelines, and performance optimisation. Experience with CI/CD, containerised systems, and modern deployment workflows. Familiarity with working alongside data science teams and ...

level deployments and licensing strategy. Solid knowledge of Azure data stack : Azure Data Factory, Data Lake, Azure SQL, and data warehousing. Ability to design ETL/ELT pipelines using visual tooling to move and transform data efficiently. Strong SQL and data modelling skills , with experience turning document-based databases (like ...

into enterprise platforms such as Snowflake and Databricks Design scalable, high-performance data models for analytics and AI use cases Build and maintain robust ETL/ELT pipelines using modern tooling Collaborate with developers, data owners, and UX stakeholders to translate business needs into technical solutions Support AI/ ...

and SQL Server (2016 or later preferred). Python for scripting, data processing, and automation. Experience of SQL Database Administrator. Experience of SSIS ETL concepts and data warehouse design principles. Experience of Microsoft SSRS and PowerBI (or similar Reporting Technology). Understanding of Data warehouse Principles. Excellent problem-solving skills ...

data sources, ensuring quality, integrity, and availability of data. Contribute to the development of data models and data architecture best practices. Implement and optimise ETL processes using Python and modern frameworks. Maintain clear and reusable codebases across Python and TypeScript environments. Support data governance, security, and compliance processes across ...

helping to design, build, and maintain scalable data pipelines and cloud-based data solutions. Key Responsibilities • Design, build, and maintain scalable data pipelines and ETL processes. • Develop and optimise data models for analytics and reporting. • Work closely with software engineers, analysts, and stakeholders. • Ensure data quality, reliability, and performance. • Implement ...

like Azure Data Factory and Databricks Workflows. Knowledge of lakehouse architectures , modern data engineering, and data warehousing principles. Understanding of data modelling, ELT/ETL pipelines, and testing frameworks . Familiarity with CI/CD, version control, and DevOps practices. Strong problem-solving, debugging, and technical leadership skills. Awareness ...

into Amazon Redshift, ensuring the data is correctly formatted, transformed, and loaded into the data warehouse. This includes developing and maintaining data pipelines and ETL processes to facilitate the timely and accurate transfer of data into Redshift. Create, design, and develop data models and views in AWS Redshift that ...

solutions aligned to their analytical needs Build modern Data Warehouse and Data Lake/Lakehouse solutions (primarily using Microsoft Fabric) Design and develop complex ETL/ELT pipelines Deliver secure, scalable, and high-performing data platforms and infrastructure Implement best practices across data architecture, performance, and security Produce clear technical ...

with a preference for streaming technologies Solid understanding of real-time data processing concepts such as event time, state handling, and backpressure Experience building ETL/ELT or streaming data pipelines Good understanding of distributed systems and microservices architecture Experience working with cloud platforms, ideally AWS (Azure or GCP also ...

delivering scalable data solutions, enabling regulatory reporting, and improving data architecture across the organisation. Key Responsibilities Design, build, and optimise scalable data pipelines and ETL/ELT processes Integrate and transform large volumes of financial data from multiple sources Work closely with stakeholders across technology, risk, and business teams Ensure ...

systems and software (ERP, accounting software, etc.) Data warehouse experience : designing, building, and maintaining systems to consolidate data for analytics, utilizing strong SQL skills, ETL/ELT processes, and data modelling techniques Attention to detail and accuracy. Strong analytical and problem‐solving skills Ability to work independently and as part ...

business rules, and reporting methodologies to ensure consistency and scalability. Requirements 4+ years of BI or Data Analytics experience. Proficiency in SQL (joins, aggregations, ETL logic, stored procedures). Expertise in Power BI (modeling, DAX, visuals, Power Query). Strong data modelling concepts (facts/dimensions, relationships). Advanced Excel ...

Business, or a related field. Experience in Business Intelligence, retail analytics, FP&A, or equivalent. Advanced proficiency in Power BI, including data modelling, DAX, ETL, and SQL. Strong analytical skills with the ability to interpret complex data and generate clear insights. Excellent communication and presentation skills to translate technical data ...

observability Introduce and embed CI/CD, testing, and deployment best practices (Azure DevOps) Define and implement clear data domains and schemas Address ongoing ETL failures and long-running jobs Work closely with technical and non-technical stakeholders in an Agile delivery environment Contribute to roadmap definition and future platform ...

experience with Kafka, Flink, or Spark (streaming focus is a strong advantage) Solid understanding of streaming concepts (event time, state, backpressure) Experience building ETL/ELT or real-time data pipelines Familiarity with AWS (or Azure/GCP) Knowledge of distributed systems, microservices, and performance optimisation Experience with CI/ ...

application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Databricks, Apache Spark, PySpark, SQL, Python, Kafka, AWS, Delta Lake, ETL, Data Pipelines, CI/CD, Big Data ...

and optimisation At least one data engineering programming language (e.g., Python) Data modelling (dimensional, star schema, analytics-optimised models) Building and maintaining production-grade ETL/ELT pipelines Orchestration and scheduling tools Version control (e.g., Git) CI/CD principles for data workloads Environment separation (Dev/Test/Prod ...

strategic goals. What will make you successful? Extensive experience as an Enterprise Data Architect in a complex, regulated environment. Deep knowledge of data modelling, ETL, data warehousing, and cloud platforms (Azure, AWS, or GCP). Strong understanding of data governance, MDM, and regulatory compliance. Familiarity with aviation systems (e.g., AODB ...

Demonstrable practical experience of at least some of the following: Data Manipulation, Batch Processing, case flow management Power BI, Power Automate, SQL, Microsoft Fabric, ETL/ELT Pipelines Housing Management and/or large database systems management MS Windows Server, Active Directory MS Excel and Office suite Have an agile ...

delivery Required Skills & Experience: ✔ Strong expertise in Azure Data Factory and Databricks ✔ Advanced SQL skills including query optimization and troubleshooting ✔ Hands-on experience with ETL processes and ingestion frameworks ✔ Deep understanding of Azure cloud technologies and Databricks architecture ✔ Strong knowledge of data architecture and data modelling principles ✔ Experience with ...

focused role Strong SQL skills with experience working with large, complex datasets Hands-on experience with dbt or similar transformation tools Good understanding of ETL/ELT processes Experience working with BI tools such as Power BI, Tableau or Looker Strong understanding of data modelling concepts (dimensional modelling preferred) Experience ...

quality frameworks and governance principles Experience working with data lifecycles, retention and compliance Ability to work closely with technical teams, comfortable discussing data models, ETL and workflows Strong stakeholder management, confident, proactive and able to own conversations Analytical mindset with experience investigating and resolving data issues Tech & Tools: SQL and ...

activities for Oracle Fusion Cloud implementation. Should have knowledge of Oracle Fusion data models across multiple modules (Financials, SCM, EPM etc), strong expertise in ETL, data governance and cloud data integration tools. Your Responsibilities (Up to 10, Avoid repetition) Define and lead the data architecture strategy for Oracle Fusion Cloud ...

learn, Databricks and modern data platforms. Confident communication skills and experience working with finance or commercial stakeholders. An understanding of data structures, even where ETL ownership sits with engineering teams. What They Offer Competitive salary and benefits package. Exposure to a modernising data environment and evolving analytics capability. Opportunities ...