10 of 10 ETL Jobs in Leeds

modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity ...

based data platforms (AWS, Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data ...

Experience with data warehouse design and data modelling (Kimball, Lakehouse/Medallion, Data Vault preferred) Building data lakes and end-to-end ELT/ETL pipelines Performance tuning across varied database environments Desirable: dbt, Docker, Microsoft BI stack, Aurora DB, Step Functions, Batch, IAM, SQS, SNS Excellent data development, modelling ...

Developer Key skills: * SQL Server * Cloud platforms, ideally Azure * Data pipeline tools, SSIS/Spark * Data warehousing and data modelling principles * ETL * MS Fabric * Python You will be a motivated SQL Developer with good communication skills and have prior experience within a similar position. The successful SQL Developer should have ...

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 ...

applications and integrations across the organisations application architecture. You will have extensive experience in SQL Server development alongside strong knowledge of T-SQL programming, ETL processes and SSIS. Experience with Azure DevOps will be advantageous to your application. This is a fantastic opportunity for a SQL Developer to join ...

Power BI dashboards and reports to support strategic decisions Conducting statistical and trend analysis to drive operational improvements Data Warehouse Management Designing and maintaining ETL processes and scalable data models Collaborating with IT and engineering teams to ensure seamless data integration Collaboration & Strategy Partnering with stakeholders to understand analytical needs … trends What You'll Bring Advanced Power BI skills (including DAX, Power Query) Strong SQL and data warehousing experience Solid understanding of ETL pipelines and data modelling Minimum 2–3 years in data analytics or BI roles Bonus points for Python or R knowledge Education & Certifications: Bachelor's or Master ...

operation, and evolution of our SQL Server data warehouse. Establish best practice standards for schema design and performance tuning in SQL Server/SSMS. ETL/ELT & integration: Define and manage pipelines (e.g., SSIS & Power Query) that consolidate sources including core broking systems (e.g., Acturis) and newly acquired businesses; deliver … query writing. Significant experience delivering Power BI models and dashboards (DAX, Power Query, RLS, performance). Advanced Excel: advanced formulas, Pivot tables, Power Pivot. ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema). Practical AI/ML exposure (e.g., Python notebooks, Azure ML, or equivalent ...

will be responsible for: Diagnosing and resolving SQL Server performance issues across queries, indexes and execution plans Tuning stored procedures, user-defined functions and ETL processes to improve scalability and speed Working closely with clients and internal teams to understand requirements and deliver efficient technical solutions Promote performance best practices ...

term maintainability. The work is backend-heavy, pragmatic, and delivery-focused. What you'll be working on Python-based backend services and APIs (Flask) ETL pipelines ingesting high-volume data PostgreSQL data persistence and Elasticsearch search/indexing Contributing to a large-scale product rewrite Building reliable, production-ready systems ...