1 to 25 of 519 ETL Jobs in the UK

/ML models that fuel our data-driven operations. What You Will Bring Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks … more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure ML to develop predictive models and drive business insights. Proven ...

enterprise-scale data architectures Expertise with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Advanced SQL and Python development skills Experience building ETL/ELT pipelines and modern data integration solutions Strong understanding of DataOps, DevOps, CI/CD, and Infrastructure as Code Experience with data modelling, data ...

with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data warehousing 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 ...

migration and modernisation initiatives from legacy platforms to cloud-native data and database services across AWS and Microsoft Azure. Design, build, and optimise scalable ETL/ELT pipelines using modern cloud data integration and orchestration services. Design and implement secure, scalable data lake, lakehouse, and analytics platforms supporting structured, semi ...

Snowflake DBT Azure Data Factory Python Experience designing and developing enterprise-scale data pipelines and integrations. Strong knowledge of data modeling, data warehousing, and ETL/ELT practices. Proven ability to tune and optimize solutions handling large data volumes. Cloud & DevOps Experience with cloud-native data platforms, preferably on Microsoft ...

skills/knowledge/experience Strong Azure Data Platform experience. Hands-on Azure Databricks expertise. Advanced SQL and Python development skills. Strong experience with ETL/ELT and data pipeline development. Experience supporting production data platforms and operational services. Data modelling and data architecture knowledge. Incident management, root cause analysis ...

Synapse, Azure Data Factory, and Azure Fabric. Developing and fine-tuning PySpark notebooks to efficiently manage large-scale data workloads. Implementing, troubleshooting, and enhancing ETL/ELT workflows in Azure Synapse and Microsoft Fabric. Managing and organizing Data Lakes for seamless data access and high performance. Integrating AI/ ...

Databricks, Azure Data Factory and Power BI, including DAX and semantic modelling. You'll have a solid understanding of Azure Data Lake architecture, ETL processes, dimensional modelling and modern reporting principles, with the ability to translate complex business requirements into practical, scalable data solutions. Experience with Cognos would be beneficial ...

data platforms such as Microsoft Azure, AWS, or Google Cloud. Proficiency in SQL, Python, Spark, and modern data processing frameworks. Experience building and managing ETL/ELT pipelines and streaming data solutions. Practical experience with DataOps, DevOps, CI/CD pipelines, and Infrastructure as Code. Expertise in data modelling, data ...

data warehousing, data lakes, and lakehouse architectures. Hands‐on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps). Expertise ...

include internal and external suppliers. Essential Skills Proven experience as a Data Engineer Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience with Microsoft Fabric Experience of using programming languages such as Python, Scala and SQL. Demonstrable knowledge of data modelling and data … data solutions are closely aligned with business objectives and effectively meet user needs. Transform raw data into meaningful insights by developing and maintaining tailored ETL (Extract, Transform, Load) processes enabling customised processes, empowering stakeholders to make informed decisions based on high-quality, processed information Managing the aspirations of a variety ...

Data Engineering role delivering data solutions within complex environments Hands-on experience with Microsoft Fabric and modern cloud-based data platforms Strong background in ETL development, data integration and pipeline engineering Advanced SQL/T-SQL development skills Experience designing and implementing data models for reporting and analytical requirements Experience ...

data is accessible, reliable and delivered efficiently across the organisation. Key Responsibilities Design, build and maintain scalable and reliable data pipelines. Develop and support ETL/ELT processes for ingesting and transforming data from multiple sources. Enhance and maintain cloud-based data infrastructure within AWS. Monitor, troubleshoot and optimise data ...

aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance ...

aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance ...

Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ELT pipelines and data transformation frameworks Programming capability in Python, Scala or Java for data processing Deep understanding of data warehousing concepts and best practices Experience ...

insight delivery. Person Specification Knowledge and Experience * Proven experience in data engineering, data platforms and analytics leadership roles. * Strong understanding of data lake architecture, ETL/ELT pipelines, and modern data environments. * Experience of data modelling, structuring and preparing data for reporting and analytics use. * Proven track record of delivering ...

preferably Microsoft Fabric, Azure Synapse, or similar lakehouse architectures Familiarity with Power BI or equivalent BI/visualisation tools Understanding of data pipeline design, ETL/ELT patterns, and orchestration approaches Knowledge of data governance, quality frameworks, and metadata management Beneficial Experience with Python for data engineering or analytics Exposure ...

and supporting Microsoft D365 solutions, Microsoft Power Platform solutions and Microsoft Data solutions (Data Lake, Data Factory, Data Warehouse) MS SQL DB, TSQL language, ETL, SSRS, SSIS Experience Dataverse, Common Data Services, Synapse Experience Strong communication skills with a proven ability to understand key concepts and communicate effectively with technical ...

experience we are looking for Strong SQL development skills and experience working with large and complex datasets. Experience building and maintaining data pipelines and ETL/ELT processes. Hands-on experience with Databricks for data engineering and transformation workloads. Proficiency in Python for data cleansing, transformation, automation, and analytics workflows. ...

strengthen testing and documentation, and improve operational excellence—within agreed security and compliance boundaries. Build and maintain data pipelines and data products: Use appropriate ETL/ELT and distributed processing approaches to ingest, transform and curate data in cloud-based storage and analytics platforms. Implement data modelling, quality and governance ...

daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across ...

migration and modernisation initiatives from legacy platforms to cloud-native data and database services across AWS and Microsoft Azure Design, build, and optimise scalable ETL/ELT pipelines using modern cloud data integration and orchestration services Design and implement secure, scalable data lake, lakehouse, and analytics platforms supporting structured, semi ...

Responsibilities Design scalable, secure, and efficient data architectures Develop data platforms, data lakes/lakehouses, and ETL/ELT solutions Translate business requirements into technical solutions Create data roadmaps aligned to business objectives and regulatory requirements Collaborate with stakeholders across business and technology teams Essential Experience Proven Data Architect experience ...

expertise. Experience applying Medallion Architecture principles. Strong Power BI development and reporting experience. Experience creating KPIs, measures, calculations and critical data elements. Knowledge of ETL frameworks and data integration processes. Experience with Azure Data Lake and dimensional modelling. Background in both data analytics and data engineering Hays Specialist Recruitment Limited ...