51 to 75 of 195 ETL Jobs in London

London Market/Specialty Insurance data domains Proficient in Azure Data Factory and Databricks, including pipeline design and orchestration Solid understanding of data warehousing, ETL/ELT pipelines, and integration practices Knowledge of SDLC methodologies (Agile, DevOps, etc.) Confident communicator with the ability to engage technical and business stakeholders Relevant ...

querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/SQL Server environment This role offers highly competitive compensation ...

technical audienc es.Experience within Financial Services or Insuran ce.Strong problem-solving and analytical capabili ty. Desir ableExperience with Alteryx, Qualtrics or other ETL to ols.Knowledge of Power Autom ate.SharePoint and Power BI administration experie nce.Insurance industry qualifications (e.g., AC II). What Success Looks LikeDelivering high-quality reporting and dashbo ...

innovation and continuous improvement are genuinely encouraged. Key areas of focus include: • Developing and embedding data management strategy and governance • Leading data migration and ETL initiatives with strong auditability and control • Improving data quality, structure, accessibility, and reporting automation • Supporting analytics and insight generation for operational and strategic decision-making ...

organisation through training and internal champions •Ensuring GDPR compliance and robust data security controls throughout Essential Experience: •Solid, hands-on understanding of data warehousing, ETL/ELT processes, data modelling and Medallion architecture •Experience managing vendors delivering hosted or managed data warehouse solutions •Ability to design and implement governance frameworks ...

organisation through training and internal champions Ensuring GDPR compliance and robust data security controls throughout Essential Experience: Solid, hands-on understanding of data warehousing, ETL/ELT processes, data modelling and Medallion architecture Experience managing vendors delivering hosted or managed data warehouse solutions Ability to design and implement governance frameworks ...

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) and experience with Snowflake or a comparable cloud data warehouse Experience with data governance and compliance requirements Cloud cost and resource utilisation ...

experience of metadata analysis, fields/entity, and data lineage, sql/no sql databases Experience with one of Azure/AWS/GCP ETL tools like Informatica, Alteryx and Business Glossary tools like Collibra, Azure Purview or Apache Atlas. TDD/BDD, Experience working in an Agile development environment ...

and web-scraping pipelines. 3. Data engineering & APIs Build and maintain API/MCP integrations to fetch, clean, and aggregate data. Set up small ETL flows to monitor targets and portfolio companies. Use Python, SQL, or whatever you prefer to deliver dashboards or structured outputs. What we’re looking ...

products that are actionable and scalable. Expertise of using Spark, Dremio, Teradata or other SQL technologies. Strong knowledge and experience of using business intelligence, ETL frameworks and visualisation tools such as Tableau. Experience with Python, GitHub, data orchestration tools (Oozie, Airflow) for data wrangling, building data pipelines and building analytical ...

actionable and scalable. \n • Expertise of using Spark, Dremio, Teradata or other SQL technologies. \n • Strong knowledge and experience of using business intelligence, ETL frameworks and visualisation tools such as Tableau. \n • Experience with Python, GitHub, data orchestration tools (Oozie, Airflow) for data wrangling, building data pipelines and building analytical ...

valuation processes, and investor reporting cycles.Demonstrated experience owning platform-level or infrastructure product workstreams with high technical complexity.Familiarity with data architecture concepts: data modeling, ETL pipelines, API design, and event-driven systems.Experience with agile development methodologies; strong proficiency with product management tools (Jira, Confluence, Productboard, or similar).Exceptional analytical, communication ...

QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel). Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration & Observability Infrastructure-as-code: Terraform and Ansible for repeatable, automated provisioning ...

Engineering and Analytics teams to drive strategic development and enhancements to our reporting platforms and tools. Oversee and execute detailed data mapping exercises. Guide Extract, Transform, and Load (ETL) processes to ensure data flowing into the reporting systems is accurate, scalable, and fit for purpose. Act as the subject matter … hands-on experience producing complex capital and liquidity returns. Proven track record in reporting system development and enhancements, with strong knowledge of data mapping, ETL processes, and UAT methodologies. Strong ability to project manage infrastructure upgrades or vendor implementations, ensuring milestones, documentation, and testing requirements are met. Excellent analytical and ...

Engineering and Analytics teams to drive strategic development and enhancements to our reporting platforms and tools. Oversee and execute detailed data mapping exercises. Guide Extract, Transform, and Load (ETL) processes to ensure data flowing into the reporting systems is accurate, scalable, and fit for purpose. Act as the subject matter … hands-on experience producing complex capital and liquidity returns. Proven track record in reporting system development and enhancements, with strong knowledge of data mapping, ETL processes, and UAT methodologies. Strong ability to project manage infrastructure upgrades or vendor implementations, ensuring milestones, documentation, and testing requirements are met. Excellent analytical and ...

and architectures, Data products and Data Governance principles Solid understanding of the full Software Development Lifecycle (SDLC) as relevant to data management. Understanding of ETL, data manipulation, and data preparation processes. An outstanding problem solver who has an analytical mindset, is inquisitive, and excellent with technology enabling a creative approach ...

regulated environments Ability to translate business requirements into robust technical solutions Experience with cloud data platforms (e.g. Databricks, GCP BigQuery) is desirable Exposure to ETL/ELT pipelines or data integration Familiarity with Agile tools such as Jira, Confluence, MS Teams Strong communication skills and ability to engage both technical ...

team of architects and analysts to optimize large-scale datasets, transforming raw information into strategic assets. Your Impact: Pipeline Engineering: Build and optimize scalable ETL/ELT workflows and data pipelines for structured and semi-structured datasets (exposure to policy/insurance data preferred). Snowflake Innovation: Drive CDC-based ...

with architects, analysts, developers, and business stakeholders to deliver reliable and maintainable data solutions. Key Responsibilities Data Pipeline Development Design, develop, and maintain robust ETL/ELT pipelines using Informatica and cloud-native technologies. Build scalable data ingestion, transformation, and delivery processes that support operational and analytical use cases. Cloud ...

and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business and engineering teams to enable scalable data products. Required Multiple years in Platform Engineering, Cloud, Integration ...

core of advanced AI systems. Key Responsibilities Design, build and optimise scalable cloud-based data platforms and pipelines within AWS. Develop robust ETL and ELT processes capable of handling high-volume and complex datasets. Design and manage data models, schema structures and data reconciliation processes across multiple source systems. Build ...

large-scale data processing solutions and deploying into a production environment Proficient in SQL and SQL extensions for analytical queries Solid understanding of ETL/ELT data processing pipelines and design patterns Aware of key features and pitfalls of distributed data processing frameworks, data stores and data serialisation formats Able ...

disseminated through publications, industry forums, or social media. Desirable Understanding of data architecture principles , including the design and implementation of robust data models and ETL processes, to support the construction of scalable and efficient data systems. Familiarity with big data tools like DuckDB, Polars or Apache Spark for processing ...

issues, and analyze webpage sources and console logs to troubleshoot effectively. Familiarity with JavaScript is a plus. Understanding of Data Pipelines: Awareness of ETL workflows or data movement between APIs, storage, and compute resources. Problem Solving & Communication Proven ability in navigating complex technical challenges and creating tailored solutions for enterprise ...

solutions that drive decision-making across the organisation. You'll be involved in migrating and modernising existing data workloads into Microsoft Fabric, developing robust ETL/ELT processes, integrating Dynamics 365 and Dataverse data, and ensuring the quality, accuracy, and reliability of data throughout the transformation journey. The role offers … data architecture. Key Responsibilities Design, develop, and maintain data pipelines within Microsoft Fabric Build and manage Lakehouses, Notebooks, and data integration workflows Develop efficient ETL/ELT processes to ingest, transform, and deliver data across the business Support the migration of legacy data platforms into Microsoft Fabric Work closely with ...