26 to 50 of 823 ETL Jobs in the UK

transition from legacy platforms where applicable Data Engineering & Integration Providing technical leadership across data engineering practices, including: Batch and streaming data pipelines ELT/ETL frameworks CI/CD for data platforms Architecting robust integrations from internal and third-party systems Defining data quality, validation, and monitoring standards Governance, Security ...

e.g. Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics) Experience with data product thinking, domain-oriented ownership or federated operating models Understanding of data standards and industry models ...

e.g. Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics) Experience with data product thinking, domain-oriented ownership or federated operating models Understanding of data standards and industry models ...

and our communities in more than 40 countries around the world. What you'll do in the role: Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes. Work with structured and unstructured data to ensure it is accessible and usable. Optimize data systems for performance and scalability. Implement ...

Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. Architecture & Modelling: TOGAF; DAMA; ArchiMate; Sparx Enterprise Architect. Data Governance: Microsoft Purview; Collibra; Informatica; Security by Design; Data ...

Reference Data. Cloud Platforms Microsoft Azure; AWS; GCP Modern Data Platforms Databricks; Microsoft Fabric; PostgreSQL Data Integration Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures Architecture & Modelling TOGAF; DAMA; ArchiMate; Sparx Enterprise Architect Microsoft Purview, Collibra, Informatica, Security by Design, Data Classification, Information ...

architectural decisions, and high-quality "data mart" objects across functions like product, finance, or strategy. Pipeline Specialist: You possess extensive experience in engineering robust ETL/ELT processes and data pipelines, with a focus on curating, transforming, and publishing data. Data Governance Focused: You have solid experience in implementing data ...

foundational data systems that underlie modern AI infrastructure, including vector, NoSQL, and document databases. Develop end-to-end data engineering solutions, including robust ETL/ELT pipelines, API services, and data ingestion frameworks. Design and build the storage and processing layers powering our analytics workloads: data lakes, data warehouses, distributed ...

Engineer high-performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. Build scalable, distributed data processing solutions using modern ...

similar - Strong SQL skills - Experience with data warehousing, reporting and data modelling - Knowledge of Qlik, Power BI or another BI platform - Experience with ETL, data integration or scripting - Strong analytical, problem-solving and communication skills - The ability to translate complex data into meaningful business insights Experience within finance, manufacturing ...

data infrastructure. Technical Expertise Languages: Strong proficiency in SQL and Python. Data Platform: Hands-on experience with Azure Data Lake and Databricks. Data Integration (ETL): Proven capability in building efficient data pipelines using Azure Data Factory (ADF), SSIS, and API integrations. Reporting & Analytics Reporting Tools: Proficiency in PowerBI (or similar ...

data infrastructure. Technical Expertise Languages: Strong proficiency in SQL and Python. Data Platform: Hands-on experience with Azure Data Lake and Databricks. Data Integration (ETL): Proven capability in building efficient data pipelines using Azure Data Factory (ADF), SSIS, and API integrations. Reporting & Analytics Reporting Tools: Proficiency in PowerBI (or similar ...

governance, and stakeholder engagement. Key Responsibilities Design, build, and evolve a scalable cloud data platform and supporting architecture. Develop and maintain robust ELT/ETL pipelines, ensuring high standards of reliability, performance, and security. Establish and embed DataOps and DataSecOps practices, including CI/CD, testing, version control, and automated ...

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 ...

scalable data solutions. Technical Expertise Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands ...

and insight delivery. Person SpecificationKnowledge 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 ...

APIs, returning complex data from multiple endpoints. Implement processes to retain and refresh this data within business systems. Data Modeling: Using the businesses preferred ETL tools, generate curated datasets from raw input tables. Ensure all datasets have clear, documented lineage and integrated testing to protect against bad data entering datasets ...

and dashboards. ·Foundational knowledge of Python for data manipulation, automation, or analysis. ·Experience with cloud data environments such as Azure or AWS. ·Familiarity with ETL tools, or similar data‐integration technologies. ·Understanding of data modelling concepts. ·Familiarity with legal industry data and metrics. Equal Opportunities Our approach to our people ...

and Snowflake Cortex, as well as Databricks components such as Lakeflow (Connect, Pipelines, and Jobs), Delta Lake, and Unity Catalog. Strong data engineering fundamentals: ETL/ELT pipeline design and implementation, data orchestration and workflow automation, batch and streaming processing, and data modeling for analytical and operational workloads. Proficiency ...

platforms. Experience with statistical programming, central monitoring, anomaly detection, predictive modeling, or machine-learning tools and methods. Experience with APIs, data warehouses, cloud platforms, ETL/ELT workflows, Git or comparable version-control tools, and analytical development environments. Experience with automation, natural-language processing, generative AI, or model deployment and ...

Design and deliver enterprise-scale data solutions on cloud platforms (Azure preferred), leveraging Databricks as the core data engineering platform Build and optimize sophisticated ETL/ELT data pipelines using PySpark, SQL, and Python, orchestrating complex data workflows through Databricks Workflows, Delta Live Tables, Azure Data Factory Implement and maintain … integration development Deep expertise in PySpark for data processing and transformation Proven mastery of cloud platforms with strong preference for Microsoft Azure Expertise in ETL/ELT development and data pipeline orchestration (e.g. Databricks Workflows, DLT, ADF) Extensive experience with Git version control, GitHub collaboration workflows, and modern CI/ ...

data exploration too ls.Solid working knowledge of cloud data platforms (e.g., Snowflake, Databricks, BigQuery, AWS, Azur e).Conceptual understanding of data modeling practices, modern ETL/ELT architecture, APIs, and microservices .Exposure to modern BI tools (e.g., Tableau, Power BI) and AI/ML data integration needs is a plus ...

asynchronous teams across timezones; experience in India tech ecosystem or building in resource-constrained environments; experience migrating from legacy data infrastructure (Azure ADF, traditional ETL) to modern cloud-native stacks. Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. ...

Required Skills & Experience Technical Skills Strong experience in data testing and test automation Hands-on experience with Microsoft Fabric Experience testing ETL/ELT pipelines and cloud data platforms Strong SQL skills for data validation and reconciliation Experience with: PyTest REST API testing tools Python or PySpark GitLab/Azure ...

advanced analytics and intelligence operations. What you'll be doing: Develop, optimise, and support scalable data pipelines (batch and streaming) within secure environments. Manage ETL/ELT processes for diverse datasets, ensuring data quality, lineage, and governance. Collaborate with technical and business teams to translate complex requirements into effective data ...