51 to 75 of 477 ETL Jobs in England

practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic data modelling Strong client-facing skills with the ability ...

data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages. Practical expertise in Python, SQL, and modern ETL or orchestration frameworks. (Preferred) Skills in data visualisation (PowerBI, Tableau, and/or other dashboarding tools) (Preferred) Hands-on experience with cloud platforms, ideally ...

performance tuning and model management. Proven ability to manage and optimize very large datasets in Power BI and Azure. Solid understanding of SQL, ETL processes, and data warehousing. Familiarity with Azure Synapse, Data Lake, and Analysis Services (AAS/SSAS). Strong performance tuning: aggregations, incremental refresh, Hybrid tables, Direct ...

while promoting best practices and operational excellence. Key Responsibilities Lead the design, development, and optimisation of enterprise data engineering platforms Build and maintain robust ETL/ELT pipelines integrating large, complex datasets Work with structured, semi-structured, and unstructured data across SQL and NoSQL technologies Develop solutions using Hadoop, Spark ...

documentation, lineage, governance standards. Required Skills/Experience The ideal candidate will have the following: Strong SQL; Snowflake ELT; dbt experience. Python/PySpark, ETL/ELT design. Data Vault 2.0 or dimensional modeling. AWS services (S3, Glue, Lambda, Redshift) or GCP equivalents. Experience with CI/CD for data ...

Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes Implement modern data pipeline patterns, event-driven architectures, ETL/ELT processes, and stream processing solutions Translate business requirements into technical specifications and actionable solution designs Work with metadata management and data governance tools ...

Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes Implement modern data pipeline patterns, event-driven architectures, ETL/ELT processes, and stream processing solutions Translate business requirements into technical specifications and actionable solution designs Work with metadata management and data governance tools ...

Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes Implement modern data pipeline patterns, event-driven architectures, ETL/ELT processes, and stream processing solutions Translate business requirements into technical specifications and actionable solution designs Work with metadata management and data governance tools ...

aptitude such as Computer Science, Data Engineering or a related field, is essential Knowledge & Experience: Essential: Some knowledge of data extraction, transformation, and loading (ETL) Introductory experience working with Power BI Advanced Excel skillset Desirable: Familiarity working with APIs, including to retrieve data from external sources, API configuration and data ...

Build robust data models, including advanced DAX calculations and Power Query transformations, to support accurate and performant reporting. Own ETL processes to extract, transform, and load data from multiple sources into accessible datasets. Collaborate closely with stakeholders to gather requirements and translate them into effective reporting solutions. Implement and manage … including data modelling, DAX, and Power Query. Proven experience working with relational data and writing SQL to query and prepare data. Solid understanding of ETL principles and experience building or working with ETL pipelines from multiple data sources. Familiarity with Microsoft Azure data services such as Azure Data Factory, Azure ...

Build robust data models, including advanced DAX calculations and Power Query transformations, to support accurate and performant reporting. Own ETL processes to extract, transform, and load data from multiple sources into accessible datasets. Collaborate closely with stakeholders to gather requirements and translate them into effective reporting solutions. Implement and manage … including data modelling, DAX, and Power Query. Proven experience working with relational data and writing SQL to query and prepare data. Solid understanding of ETL principles and experience building or working with ETL pipelines from multiple data sources. Familiarity with Microsoft Azure data services such as Azure Data Factory, Azure ...

Azure, or GCP) Advanced SQL skills and experience with at least one backend language (Python, Scala, Java, etc.) Hands-on experience with data warehouses, ETL/ELT, and distributed systems A mindset focused on performance, reliability, automation, and scalability Confidence working cross-functionally and owning technical decisions Exposure to large ...

and capital allocation decisions. Role Responsibilities * Build and maintain scalable data pipelines, managing large data sets from internal and external sources. * Develop and optimise ETL processes using AWS, SQL, and modern cloud technologies. * Manage API integrations and automate data ingestion and transformation workflows. * Improve infrastructure scalability, performance, and data delivery ...

Your Skills: 16+ years of data/software engineering experience with deep expertise in Spark, Scala, and Python. Strong background in designing large‐scale ETL/ELT workflows and distributed compute optimization. Solid understanding of trade data, counterparty risk, and market/risk processes within banking. Hands-on experience ...

Lakehouse, Pipelines, Data Factory) Key Skills Strong SQL/T-SQL development experience Power BI (data modelling + report building) Experience with Data Warehousing, ETL, or data migration Exposure to Microsoft Fabric or Azure Synapse/Data Factory Good understanding of data modelling and reporting best practices Nice to Have ...

Strong programming skills in Python (pandas, NumPy, scikit-learn) and SQL. Experience in data science , machine learning, and predictive modelling. Background in data engineering (ETL pipelines, streaming tech like Kafka). Familiarity with cloud platforms (AWS, Azure, GCP). Excellent communication skills for technical and non-technical stakeholders. Exposure ...

advanced measures and analytical logic. Conduct data analysis to support planning, forecasting, and strategic initiatives. Ensure reporting accuracy and alignment with business objectives. Manage ETL processes across SQL, APIs, spreadsheets, and cloud data sources. Work closely with Data Engineering to enhance pipelines and improve data quality. Document data processes and ...

shaping best practices and supporting the wider team. Specifically, you can expect to be involved in the following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability ...

shaping best practices and supporting the wider team. Specifically, you can expect to be involved in the following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability ...

and contribute to continuous improvement within a fast-evolving data team. Key Responsibilities Build, maintain, and optimise Azure-based data pipelines Develop and enhance ETL/ELT processes from source systems through to a refined silver layer Work with Azure Blob Storage, SQL, Power BI datasets, and CI/ ...

and contribute to continuous improvement within a fast-evolving data team. Key Responsibilities Build, maintain, and optimise Azure-based data pipelines Develop and enhance ETL/ELT processes from source systems through to a refined silver layer Work with Azure Blob Storage, SQL, Power BI datasets, and CI/ ...

more modern data architecture What they’re looking for.. Essential: Strong SQL experience in a production environment Experience with data warehousing, modelling or ETL Comfortable improving data quality and consistency Confident working with non-technical stakeholders Nice to have: Azure/Microsoft data tools, ERP systems, Jet Analytics, Fabric ...

concepts: data modelling, survivorship, match and merge strategies. Experience in migrating data and applications from on-premises to cloud environments. Proficient in ETL processes, data integration, and data governance frameworks. Solid knowledge of SQL and relational databases. Familiarity with cloud platforms and services (AWS, Azure, or GCP) is an advantage. ...

play a pivotal role in shaping the data infrastructure. Your responsibilities will include: Own and evolve our data pipelines -designing, building, and maintaining ETL/ELT workflows that ensure high-quality, reliable data across the platform. Deploy and support production ML systems - from forecasting models to LLM-driven and agentic ...

play a pivotal role in shaping the data infrastructure. Your responsibilities will include: Own and evolve our data pipelines -designing, building, and maintaining ETL/ELT workflows that ensure high-quality, reliable data across the platform. Deploy and support production ML systems - from forecasting models to LLM-driven and agentic ...