18 of 18 ETL Jobs in West Yorkshire

and scalable data solutions. Key Responsibilities Design, develop, and maintain enterprise-level Azure data warehouses , supporting business-critical reporting and analytics. Build and optimise ETL/ELT data pipelines using tools such as Azure Data Factory, Databricks, and Azure Synapse . Integrate data from multiple sources including internal systems, third ...

focused on building a trusted, well-governed, and scalable data environment. The Role * Own the design, build, and optimisation of cloud-based ELT and ETL pipelines. * Shape the data warehouse architecture and ensure data is prepared for analytics, reporting, and operational use. * Improve existing processes and contribute to a modernised ...

data pipelines using Palantir Foundry (Pipeline Builder, Code Repositories, Data Lineage, Ontology, Workshop, Quiver, etc.). Implement batch, incremental, and streaming ETL/ELT workflows with reusable, production‐ready components. Build and maintain high‐quality, version‐controlled data products aligned to business use cases. Work with federated data environments, handling ...

making sales learner outcomes efficiency Fast paced dynamic. Switch tasks balance projects requests multiple stakeholders. SKILLS Power BI report development dashboard creation Strong SQL ETL processes data pipelines Data modelling Power BI DAX Microsoft Power Platform Power Automate Power Apps End to end BI lifecycle requirements to insights Senior stakeholder ...

Lakehouse, Dataflows Gen2, Pipelines, semantic models, governance). Strong Azure engineering and integration capability across data services and cloud architecture. Expertise in data warehousing, ETL/ELT, data lakes, modelling and modern BI practices. Strong Power BI knowledge - modelling, governance, performance and best practice. Understanding of digital integration, automation tooling ...

looking for: We are looking for someone with strong experience across Azure data engineering tools and a proven track record of building ETL or ELT pipelines in production environments. You should have solid SQL and data transformation skills, along with experience handling large and complex datasets. Equally important is your ...

and maintain key data governance and management artefacts e.g., Flow Diagram, Data Dictionary, KPI Catalogue Define overall approach and data flow for Extract, Transform and Load; and application of this for a given deployment/project Identify patterns, anomalies, and structure of data in preparation for Extract Transformation and Load … Able to work with large datasets and extrapolate conclusions Strong analytical and critical thinking abilities Highly desirable: Experience in building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data infrastructure Data Engineering experience in Microsoft stack Employee Benefits ...

kickstart your professional career. You will have experience in Python and SQL , and a keen interest in cloud technologies, with a basic understanding of ETL processes . While direct experience is not mandatory, a strong willingness to learn and lead is essential. You'll also be excited by the opportunity ...

shaping our data capabilities—ensuring solutions are scalable, accurate, compliant, and aligned to business needs. This position requires strong expertise in data warehousing, ETL development, database management, and advanced reporting. You will collaborate closely with stakeholders to translate complex business requirements into effective technical solutions, ensuring data integrity and compliance … Architecture & Development: Design and implement scalable data warehouse architectures and schemas. Ensure data security and access controls meet UK data security standards. 2. Advanced ETL Development & Optimisation: Lead the development of complex ETL processes and optimise ETL performance. Resolve complex ETL errors and ensure data quality in line with governance ...

Engineer, you will: Digest data requirements, gather and analyse large scale structured data and validates by profiling in a data environment Design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and clean data Implement data quality procedures on data sources and preparation to visualize data and synthesize ...

have these yet): Participation in the organisation and delivery of our internal Data Engineer Academy Advanced scripting skills for automation of data processes and ETL workflows Experience with business intelligence (BI) tools to deliver actionable insights Knowledge of software design patterns, principles, and architecture best practices Awareness of data engineering ...

production-grade data products that drive operational and strategic decision-making. Key Responsibilities As a Data Engineer, you will Design, build, and maintain robust ETL/ELT pipelines for healthcare datasets Contribute to the design and automation of data flows that replace manual processes and improve efficiency Develop reusable data … data modelling, schema design, and metadata management Familiarity with CI/CD and version-controlled development practices Understanding of data warehousing and ELT/ETL patterns Desirable Strong understanding of data governance, security, and access control in enterprise reporting ...

Engineer, you will: Digest data requirements, gather and analyse large scale structured data and validates by profiling in a data environment Design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and clean data Implement data quality procedures on data sources and preparation to visualize data and synthesize ...

Skills 5+ years professional Python experience; youve shipped and owned production systems. Built/owned a real-time/low-latency system (not batch ETL) with measurable performance goals. Strong understanding of async + multiprocessing trade offs and performance profiling. Comfortable owning an existing codebase: refactors, tests, architecture improvements. Experience ...

insight to life through Power BI. Build and maintain the Redshift-based Enterprise Data Warehouse and S3 Data Lake. Develop and optimise ELT/ETL pipelines across diverse data sources. Develop Power BI datasets, dashboards, and reports. Build strong semantic models using DAX and best-practice design. Work with stakeholders … warehousing. Amazon Redshift. Data Lake architectures (S3, lakehouse patterns). SQL and Power BI development experience. DAX/Data Modelling Familiarity with ELT/ETL tools. Knowledge of data governance, security, and access control. Scripting skills Agile The company have an excellent reputation within their sector, and have experienced ...

normalisation Oversee Data Warehouse strategy, build, optimisation, and performance Maintain and understand NHS datasets, flows, and reporting requirements Provide hands-on Data Engineering expertise (ETL/ELT, SQL, pipelines) Carry out DBA duties, including performance tuning, indexing, and database maintenance Essential Skills & Experience: Proven experience managing Data Warehouse functions Strong … understanding of NHS data Excellent data architecture, modelling and normalisation experience Solid Data Engineering skills (SQL, SSIS/ADF, Python, Databricks, ETL/ELT) Strong DBA capabilities (SQL Server/Azure ...

Senior Database Developer/Data Warehouse Developer Location: Bradford/Hybrid £275 - £375 per day An experienced Senior Database Developer is required for our public sector client to lead the development, optimisation and maintenance of ...

within an enterprise-scale environment Work on large transformation programmes (e.g. S/4HANA or platform upgrades) Work with data integration pipelines and support ETL processes across systems Collaborate with cross-functional teams to deliver high-quality solutions Support integration across SAP and wider enterprise platforms Contribute to system improvements … and ongoing enhancements TECH STACK/REQUIREMENTS Strong SAP development experience (e.g. ABAP, S/4HANA) Demonstrable experience with SAP Data Services (BODS) for ETL/data integration Exposure to SAP HANA database environments (data modelling, performance or database-level work) Experience working within enterprise-scale environments Experience delivering ...