101 to 125 of 633 ETL Jobs in London

your background, a crucial element is your intellectual curiosity, self-motivation, and a demonstrable ability to translate real-world challenges into data models, ETL processes, algorithms, and ultimately, functional code. A strong interest in data engineering and/or the AdTech domain, along with its associated technologies, is highly desirable ...

Proficiency in Domo - including DataFlows, Beast Mode, Domo Everywhere, and connector management. Power BI or Tableau considered in lieu. Familiarity with data warehousing concepts, ETL pipelines, and enterprise data integration (SAP, NetSuite, Denodo a plus). Exceptional ability to present complex data findings to non‐technical and executive audiences with ...

essential. Familiarity with Git, GCP, Docker, Plumber, FastAPI, Shiny, and Django is highly desirable. Data Engineering & Architecture Understanding: Solid understanding of data warehousing concepts, ETL processes, and cloud platforms (e.g., GCP, AWS, Azure) and their data services. Tool & Product Development: Hands-on experience in developing and maintaining analytical tools, dashboards ...

leveraging OCI AI Services, OCI Generative AI, Vector Search, Retrieval Augmented Generation (RAG) patterns and Large Language Models (LLMs). Strong SQL, data modelling, ETL/ELT and data engineering skills, with experience building scalable enterprise data platforms. Previous experience of working in a consultancy environment leading workstreams and managing ...

leveraging OCI AI Services, OCI Generative AI, Vector Search, Retrieval Augmented Generation (RAG) patterns and Large Language Models (LLMs). Strong SQL, data modelling, ETL/ELT and data engineering skills, with experience building scalable enterprise data platforms. Previous experience of working in a consultancy environment leading workstreams and managing ...

your work supporting areas including market risk analytics, VaR and stress testing. Key Responsibilities Build and enhance scalable data pipelines and infrastructure Develop Python ETL/ELT pipelines and complex SQL models Design and optimise Snowflake data solutions Integrate and manage large-scale financial and historical data Identify and resolve ...

teams, with your work supporting areas including market risk analytics, VaR and stress testing. Key ResponsibilitiesBuild and enhance scalable data pipelines and infrastructureDevelop Python ETL/ELT pipelines and complex SQL modelsDesign and optimise Snowflake data solutionsIntegrate and manage large-scale financial and historical dataIdentify and resolve data quality and ...

core technical owner of the data platform, ensuring reliable, high-quality data from ingestion to production use cases Build and maintain robust ETL/ELT pipelines and the infrastructure behind them Partner closely with Data Science, Engineering and Product to improve performance, scalability and operational reliability Help shape best practices ...

engineering. Strong hands-on capability with SQL and Python. Experience with Snowflake or another modern cloud data platform. Experience designing and developing ELT and ETL pipelines in production. A good understanding of analytical and dimensional data modelling. Experience with dbt or comparable modern transformation tooling. Familiarity with Git, CI/ ...

Technical Expectations: Proficient in Python, with experience in automation and building data pipelines. Strong expertise in working with tools like DBT and Airflow for ETL processes. Skilled in using REST APIs to develop and manage data integrations. Proficient in SQL and familiar with data visualization tools such as Looker, Superset ...

with strong experience in data analytics, business intelligence, data engineering, data science, or automation.• Experience across two or more relevant domains such as analytics, ETL/ELT, cloud data platforms, AI/ML workflows, automation, or enterprise data architecture.• Knowledge of public cloud platforms such as AWS, Azure ...

and bringing clarity to ambiguous or complex problems Skills & Experience Essential Strong experience designing, building and operating scalable production data pipelines Strong understanding of ETL and ELT architectures and patterns Strong programming and data transformation skills, particularly using technologies such as Python, Spark and SQL Experience working with cloud-based ...

working across team boundaries and bringing clarity to ambiguous or complex problemsSkills & ExperienceEssentialStrong experience designing, building and operating scalable production data pipelinesStrong understanding of ETL and ELT architectures and patternsStrong programming and data transformation skills, particularly using technologies such as Python, Spark and SQLExperience working with cloud-based data platformsExperience ...

design, access patterns, query performance optimization, etc. Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence. Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent. Container-based deployment experience using Docker and Kubernetes. Strong verbal and written communication skills. NICE TO HAVE ...

excellent communication skills across all channels and levels of recipients including team members, colleagues, clients at all levels including C suite. Experienced hands-on ETL, Snowflake, CI/CD Pipelines, SQL, Data Quality rules and Data-Readiness design and implementation of data platforms Experience in designing and implementing relational data ...

monolithic SQL Server database: extracting into the lakehouse and parallel data stores, introducing retention policies, and migrating to modern SQL frameworks Write and optimise ETL processes and contribute to data modelling for both internal analytics and external-facing data products Take work from ambiguous problem statements through design, build and ...

2+ years as a Data Engineer working on data platforms, ideally in product-led or high-growth environments. Technical Skills: Experience building and operating ETL/ELT pipelines. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache ...

similar automation platforms. BI/Semantic Platforms: Experience with Looker, Thoughtspot, or similar. Industry Context: Experience in Payments, FinTech, Banking, or Cryptocurrency. Reverse ETL: Familiarity with moving data from the warehouse back into SaaS tools. So, what’s in it for you? Our people are constantly striving ...

such as R or Python) Bonus skills & attributes Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow — from ideation and coding ...

language (such as R or Python)Bonus skills & attributes Experience with BI/Visualization tools like Tableau, Superset and LookerExperience with data modeling and ETL pipelinesExperience working with product teamsExperience leveraging AI tools to boost efficiency and creativity across the data science workflow — from ideation and coding to analysis and ...

Financial Services & Insurance experience. Domain & Technical Expertise Data & AI Architecture Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without ...

scalability and reuse.Your experience is likely to include several of the following: Microsoft Fabric Snowflake Azure OneLake Lakehouse architecture Data Factory Spark Python SQL ETL/ELT dimensional modelling Data Vault orchestration Git Azure DevOps/GitHub CI/CD Infrastructure as Code data quality MLOps performance optimisationYou will also … transformation to curated analytical data products. Provide technical leadership and engineering assurance for data orchestration and transformation set and challenge engineering standards and ensure ETL/ELT solutions are automated, maintainable, observable, appropriately tested and engineered for performance, resilience and reuse. Lead and technically assure analytical data modelling work directly ...

enterprise-scale data engineering solutions. Strong SQL and data modelling expertise. Experience with cloud data platforms, with Azure experience preferred. Experience building ELT/ETL pipelines and data integration solutions. Strong software engineering practices, including source control, testing, CI/CD and automation. Experience with big data, streaming and modern … Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square ...

extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)Technical Skill SetData Architecture & Platforms Cloud data platforms, SQL, ingestion pipelines (batch, streaming, CDC), ETL/ELT, data modelling, semantic layers, integration patterns, and the TCO trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC ...

communication skills, with the proven ability to translate highly technical concepts for both technical and non-technical leadershipDesirable Skills (Nice-to-Haves)Data Ingestion & ETL/ELT: Experience using ingestion tooling and orchestration platforms to build and manage automated data pipelines. Cloud Data Platforms: Hands-on experience with Snowflake (highly ...