126 to 150 of 457 ETL Jobs in the UK

1.2. To work with our cloud hosting provider to ensure effective resource utilisation and consumption patterns. 1.3. To develop complex data structures, data models and Extract Transformation and Load processes using Azure Synapse Analytics and related Azure services to support the trust Data warehouse at the direction of the Database … complex technical issues. 2.5 Lead the development and implementation data pipelines using Synapse Pipelines and other ETL/ELT tools to ingest, transform and load data from various sources. 2.6 Act as the SME for data engineering, providing authoritative input on schema design, data quality, and interoperability. Person Specification Education ...

design Enterprise-grade reliability Development Active production coding Full-stack implementation ownership Backend and API development Enterprise integrations Containerized environments Production deployments Data & Analytics ETL/ELT pipelines ERP/CRM integrations Analytics environments KPI engines Dashboards and reporting Data-intensive enterprise applications AI LLMs RAG architectures AI orchestration ...

development and maintenance of Power BI solutions across the organisation. This is a hands-on role blending Power BI development with data warehouse and ETL work - pulling data from core portfolio management and enterprise data warehouse systems to deliver insight that drives real decision-making. You'll partner closely with ...

Flask, FastAPI, Django). Integrate with Databricks SQL endpoints for data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. Work with Delta Lake, Unity Catalog, and Databricks REST APIs. Optimize queries and pipelines for cost efficiency ...

with complex datasets Advanced Power BI experience including data modelling, DAX, and dataset ownership Knowledge of Databricks or similar modern data platforms Understanding of ETL concepts and backend data processes Excellent communication skills with the ability to engage both technical and non technical stakeholders Experience working in commercially driven environments ...

with complex datasets Advanced Power BI experience including data modelling, DAX, and dataset ownership Knowledge of Databricks or similar modern data platforms Understanding of ETL concepts and backend data processes Excellent communication skills with the ability to engage both technical and non technical stakeholders Experience working in commercially driven environments ...

Platform Engineer 12 months Swindon - hybrid Inside IR35 - umbrella only Primary skills Data Engineering & Pipeline Development (ETL/ELT design and implementation) Strong SQL & Data Modeling (query optimization, schema design) Programming Skills (Python/Scala for data processing) Big Data Processing (Spark/Databricks) Cloud Data Platforms (Azure/ ...

will join a collaborative, 3-person local team to bridge capability gaps and maintain delivery momentum. Key Responsibilities Data Engineering: Build and maintain ETL/ELT pipelines using Python, SQL, and Snowflake . Automation & CRM: Create dashboards and automated workflows via Microsoft Power Platform (Power BI, Power Apps, Power Automate ...

data platforms, particularly AWS (Redshift, Athena, S3, Glue); exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Experience with data governance frameworks, metadata management, and regulatory compliance It would be a bonus ...

Strong Power BI (Desktop, Service, DAX, Power Query) Strong Power Apps experience Solid SQL (joins, CTEs, window functions) Data modelling/data warehouse experience ETL pipeline experience Strong stakeholder engagement & communication skills Nice to have: Atlassian tools (JIRA, Confluence) ServiceNow (GRC/data structures) Deadline for applications is Tuesday ...

working across complex datasets Deep Power BI experience including datasets, DAX, data modelling, and app deployment Comfort working with Databricks and broader backend or ETL style data concepts Strong communication skills, able to explain data clearly to both technical and non technical audiences Confidence engaging directly with senior stakeholders and ...

Proven background designing and delivering enterprise-scale data platforms Strong knowledge of Microsoft Azure, Databricks, Delta Lake, and data warehousing Advanced data modelling and ETL/ELT optimisation experience Familiarity with regulatory frameworks such as IFRS 17 , BCBS 239 , and UK Data Protection Excellent stakeholder communication and cross-functional collaboration ...

governance disciplines (data quality, metadata management, lineage, cataloguing). Strong expertise in data modelling (conceptual, logical, physical) and data architecture design, data integration approaches (ETL/ELT pipelines, APIs, streaming, event‐driven architectures), and database technologies (relational, NoSQL, cloud‐native data platforms) and data storage architectures. Standards & Frameworks Strong understanding ...

with tools such as Erwin or ER Studio Experience integrating data from core enterprise systems, for example SAP, Oracle, Salesforce or Workday Knowledge of ETL processes and cloud-native data storage and processing services Exposure to MDM tools such as Informatica, or API integration using JSON and tools such ...

Proven background designing and delivering enterprise-scale data platforms Strong knowledge of Microsoft Azure, Databricks, Delta Lake, and data warehousing Advanced data modelling and ETL/ELT optimisation experience Familiarity with regulatory frameworks such as IFRS 17 , BCBS 239 , and UK Data Protection Excellent stakeholder communication and cross-functional collaboration ...

3+ years of experience in Software Development Active SC is required for this role Strong experience using Python for data processing, transformation, and ETL workloads. Practical experience working with AWS cloud services, including compute, storage, and security tooling. Infrastructure-as-code experience using Terraform. Distributed data processing using Apache Spark. ...

support Pragmatic approach to balancing technical delivery with business needs Desirable Python experience for infrastructure automation and tooling Familiarity with data pipeline infrastructure (supporting ETL workloads, data warehousing) Experience with data governance and compliance requirements Cloud cost and resource utilisation optimisation Experience migrating from monolithic to microservice architectures What ...

technical stakeholders. Desirable Experience Experience with WhereScape RED and SQL Server, particularly the ability to pick apart and reverse-engineer an existing legacy ETL setup. This is genuinely a nice-to-have rather than a requirement — a capable engineer can pick up the legacy tooling on the job, so strong ...

governance disciplines (data quality, metadata management, lineage, cataloguing). Strong expertise in data modelling (conceptual, logical, physical) and data architecture design, data integration approaches (ETL/ELT pipelines, APIs, streaming, event-driven architectures), and database technologies (relational, NoSQL, cloud-native data platforms) and data storage architectures. Standards & Frameworks Strong understanding ...

Solution Architect role with a strong specialism in data, including hands‐on Databricks and Azure stack experience is essential Strong understanding of data modelling, ETL/ELT patterns, and data integration architectures, with the ability to design end‐to‐end solutions rather than advise at a surface level Experience producing ...

governance disciplines (data quality, metadata management, lineage, cataloguing). Strong expertise in data modelling (conceptual, logical, physical) and data architecture design, data integration approaches (ETL/ELT pipelines, APIs, streaming, event‐driven architectures), and database technologies (relational, NoSQL, cloud‐native data platforms) and data storage architectures. Standards & Frameworks Strong understanding ...

integration, data platforms and AI-enabled products and services within a complex enterprise environment. Strong understanding of modern data engineering practices, including data pipelines, ETL/ELT, data modelling, data governance, security, privacy and access management. Experience working with data platforms and technologies such as Snowflake, SQL-based data environments ...

Extras: Understands financial processes such as P2P, R2R, and O2C, and how to use relevant data markers from these processes to link datasets, develop ETL pipelines and identify transactions of potential concern Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis. ...

unreliable APIs, shifting requirements Cloud AI (AWS/Azure): Deploying AI solutions in production, including monitoring and reliability Data pipelines: Comfortable building and maintaining ETL/ELT pipelines connecting messy source systems to AI applications SQL: Solid querying and data modelling skills AI model management: MLFlow, Hugging Face, or equivalent ...

practical implementation and real-world delivery, not just theoretical knowledge. You will play a key role in shaping and delivering high-quality data models, ETL/ELT pipelines, and integration patterns, working closely with architects and analysts to enable reliable and performant analytics across the organisation. Key Responsibilities Lead … design, development, and maintenance of large-scale data systems, including data warehouses, data lakes, and pipelines. Design, develop, and maintain ETL/ELT processes utilising tools such as Matillion. Create and maintain optimal data flows and data pipeline architectures. Create and implement semantic data models, including fact and dimension tables. ...