26 to 50 of 559 ETL Jobs in London

with large datasets in a data engineering or similar role. Good understanding of data warehousing concepts, data modelling (Star/Snowflake/3NF), and ETL/ELT pipelines. Experience tuning SQL/PLSQL queries and improving performance of reports and data extracts. Hands‐on experience with at least one cloud ...

business stakeholders to make data-driven decisions that shape the future of our company. Key Responsibilities Design, build, and maintain robust, scalable, and reliable ETL/ELT data pipelines . Develop data models and schemas in our data warehouse to support business analytics and reporting needs. Integrate data from ...

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 ...

data modeling, semantic layers, KPI standardization) Modern data platforms: Microsoft Fabric (preferred) or Snowflake/equivalent cloud data platforms Data integration patterns, including: APIs ETL/ELT processes Programming and data manipulation (Python, SQL) Proven ability to: Transition organizations from fragmented reporting to standardized data-driven decision making Drive business ...

certifications in Azure, Power BI, data, or AI architecture. Core Technology Stack Data platform : Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration. AI platform : Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow. Analytics : Power BI, semantic 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 ...

modelling, experimental design & A/B testing, Bayesian methods, model validation Significant knowledge and experience of supervised & unsupervised machine learning, ensemble methods Knowledge of ETL/ELT processes Significant experience of successfully operating in a politically sensitive environment. Knowledge and experience of designing end to end pipelines Knowledge and experience ...

platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured content preparation (SharePoint, file shares, Teams) for retrieval-augmented AI. Data governance, quality and security – Microsoft Purview, cataloguing ...

platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured content preparation (SharePoint, file shares, Teams) for retrieval-augmented AI. Data governance, quality and security – Microsoft Purview, cataloguing ...

global stakeholders. Data Modeling & Technical Execution: Take technical requirements translated by the Manager and develop robust data pipelines and models to support treasury operations. Extract, transform, and load (ETL/ELT) complex datasets using modern tech stacks including dbt , Google BigQuery , and Snowflake . Ensure data architecture is scalable, reliable … globally distributed environment, working seamlessly with diverse teams across borders and cultures. Analytical Problem-Solving: Highly skilled at diving into complex, messy data to extract clean, reliable, and actionable insights. Execution-Oriented: Ability to take high-level objectives and technical tasks delegated by the Manager and deliver scalable solutions efficiently. ...

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 ...

practical, curious and commercially-minded approach to problem-solving. Desirable Experience with machine learning and predictive modelling. Experience with Snowflake. Experience working with ETL/data integration tools, ideally Matillion. Experience with cloud data platforms and modern data stacks Experience working with large-scale video, image or other unstructured datasets. ...

data modelling. Strong understanding of query languages and analytics technologies, including SQL, MDX, DAX, Power Query (M), and PostgreSQL. Experience building, maintaining, and optimizing ETL/ELT processes using SSIS, Azure Data Factory, Microsoft Fabric, or equivalent tools. Hands‐on experience developing and supporting Power BI solutions, including Power ...

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 ...

frameworks.* Collaborate with business stakeholders, solution architects, product owners, and engineering teams to translate requirements into effective data solutions.* Define data integration patterns using ETL/ELT, APIs, event-driven architectures, and real-time streaming technologies.* Drive cloud migration and modernization of legacy data platforms.* Support advanced analytics, AI/ ...

and transform diverse data types into standardized, unified schemas Good understanding of serverless, code-driven data transformation pipelines as well as traditional batch-oriented ETL systems. Technologies While mastery of everything is not required, we are seeking Engineers who possess hands‐on experience with one or more of the following ...

work from the office 2 days per week. Key Responsibilities Develop and maintain scalable data pipelines using Azure Data Factory. Build and manage ETL processes using SQL and Python. Work with Azure Databricks and Azure SQL/SQL Server to process and manage large datasets. Design and implement data models ...

work from the office 2 days per week. Key Responsibilities Develop and maintain scalable data pipelines using Azure Data Factory. Build and manage ETL processes using SQL and Python. Work with Azure Databricks and Azure SQL/SQL Server to process and manage large datasets. Design and implement data models ...

industry and understand the complexities of insurance data, systems, and business processes. What You'll Do Design, develop, and maintain scalable data pipelines and ETL/ELT processes. Build and optimise cloud-based data solutions and data platforms. Integrate data from multiple source systems into enterprise data environments. Work closely ...

cleansing, and enrichment Data cleansing and standardisation : Experience resolving data quality issues and ensuring data accuracy. Exposure to data integration tools : Basic experience with ETL tools for data integration. Collaboration with data professionals : Some experience working with other data professionals. Understanding visualisation requirements : Ability to understand visualisation needs and create ...

warehouses, marts, and distributed processing (Spark‐based pipelines). Strong proficiency in SQL for tracing transformations and validating mappings across layers. Working knowledge of ETL/ELT patterns, data modeling (dimensional + normalized), and batch scheduling dependencies. Ability to interpret data transformation logic from pipelines (Spark SQL/PySpark/ ...

Duration: 6 months Start: ASAP Location: Hybrid, 2/3 days per week in London Key responsibilities Design, build and optimise scalable ETL/ELT data pipelines. Develop and maintain data solutions using Databricks, Python and SQL. Support the migration of data assets from legacy platforms to modern cloud architectures. ...

/PII compliance Partner with analytics, MarTech, and marketing teams to align data solutions with business needs Requirements Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory) Experience with cloud data platforms (e.g., Azure, AWS, or GCP) Proficiency in data modelling ...

and infrastructure-as-code (Terraform, CloudFormation). Hands-on expertise with data lake/lakehouse architectures and modern streaming solutions. Experience with SQL, NoSQL, ETL/ELT pipelines, and programming languages (Python, R, Java). Familiarity with BI, data visualisation, and DevOps principles. Strong understanding of data governance, security, and ...

and the Microsoft Power Platform, including building on top of central/curated data models. Familiarity with data pipeline concepts, transformation logic, and ETL/ELT processes. Working understanding of how data assets are structured and prepared to support AI, machine learning, and agentic use cases - this ...