76 to 100 of 633 ETL Jobs in London

track key metrics (ticket volumes, server utilisation, application performance). Partner with Finance, Sales, and Operations to gather requirements and build self‐service reports (ETL pipelines, dimensional modelling). Coordinate with data architects and data analysts to ensure data accuracy and governance in the enterprise data warehouse. Project & Change Management ...

tierenvironments. Maintaining and updatingthe technical documentation suite in Azure DevOps. To be successful in this role, you’ll: D emonstrate solid experience developing of ETL/ELT ingestion pipelinesto handle data movement, transformation and visualisations from structured andunstructured sources. Have experiencewith the Azure Platform including: DataIngestion: Azure Data Factory ...

clients in the context of their business Be responsible for end-to-end delivery of projects across the full lifecycle - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery Handle a large amount of structured and unstructured data from a variety of data sources Carry out reactive and ...

remote teams. Strong proficiency in programming languages like Python. Proven experience designing and implementing enterprise data warehouse solutions. Proven expertise in building and optimizing ETL pipelines using tools like SQL, Python and dbt. Experience with AI development tools and platforms (e.g., GPT APIs, Copilot) and AI agent frameworks. Architect, designing ...

Data warehousing Data engineering and orchestration Streaming BI and reporting Integration platforms Strong understanding of data platform concepts: data warehouses, data lakes/lakehouses, ETL/ELT, streaming, semantic modeling, BI architecture. Practical experience with ML/AI solution architecture, including model lifecycle, deployment patterns, and governance Demonstrable experience building ...

experience Production data engineering, including SQL, Python, a modern data platform such as Databricks, Snowflake or Fabric, and orchestration tooling, with practical experience of ETL/ELT, data testing, Git and CI/CD; PySpark or dbt experience is beneficial. Working knowledge of finance data structures, including chart of accounts ...

Modern Data Platform Expertise You're familiar with contemporary data platforms and tools, including data lakes, open table formats such as Parquet and Iceberg, ETL and ELT pipelines, multiple query engines, and BI tools such as Power BI. You're comfortable working across cloud environments including AWS, Azure and ...

with different software solutions (Snowflake, Azure, SQL, Python). Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load (ETL) of large corpus of data into a data lake. Participate in the Natural Language Processing (NLP) extract of unstructured data into … Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs. Solid ETL development, reporting knowledge based off intricate understanding of business process and measures. Knowledge of Snowflake cloud data warehouse and Azure cloud is preferred. Knowledge ...

considerations Familiarity with Lakehouse Federation in Azure Databricks — federating queries across external data sources without full ingestion Experience with Azure Data Factory or equivalent ETL/ELT tooling for enterprise source ingestion pipelines Experience with Power BI data modelling and DirectQuery/Import mode considerations for Databricks SQL Warehouse connectivity ...

large datasets.* Strong Python proficiency for data analysis, machine learning, automation, and production-quality application development.* Robust knowledge of data engineering, including data modelling, ETL/ELT, pipeline orchestration, testing, and data quality management.* Hands-on experience with Databricks and Apache Spark to build and operate scalable data pipelines and ...

Snowflake), and develop dashboards with Power BI in an Agile team. You bring 5+ years in data engineering, strong Oracle 19c+ experience, warehousing concepts, ETL/ELT, and cloud familiarity (AWS Redshift/RDS). Bonus familiarity with dbt and CI/CD will help you improve data quality and ...

and code modular data services and APIs that unify campaign, conversion, and audience datasets across 20+ marketing platforms. Build and optimize schemas, transformations, and ETL logic for high-performance, reusable data workflows. Contribute directly to the DFP codebase (Python, SQL, Spark) — developing pipelines and infrastructure alongside the engineering team. Establish ...

Inside IR35West Midlands/Hybrid6 monthsKey Skills & RequirementsActive SC Clearance held by a Government Agency. Strong experience designing, building and optimising ETL/data integration pipelines using SAS Data Integration, Pentaho, Talend or similar tools. Proven experience working with SAS 9.4, SAS Viya 3.x and/or SAS Viya ...

IR35 West Midlands/Hybrid 6 months Key Skills & Requirements Active SC Clearance held by a Government Agency. Strong experience designing, building and optimising ETL/data integration pipelines using SAS Data Integration, Pentaho, Talend or similar tools. Proven experience working with SAS 9.4, SAS Viya 3.x and/ ...

role will cover: • End-to-end data architecture across ingestion, processing, storage and analytics • Modern data platforms including Snowflake and Microsoft Fabric • Data engineering, ETL and scalable data pipelines • Conceptual, logical and physical data modelling • Cloud data architecture and integration with legacy platforms • Data governance, quality, security and compliance ...

enjoy building scalable data solutions, solving complex data challenges, and contributing to enterprise-wide cloud transformation initiatives. Key Responsibilities Design, build, and optimise scalable ETL/ELT data pipelines. Develop and maintain data solutions using Databricks, Python, SQL, and Oracle. Support the migration of data assets from legacy platforms into ...

enjoy building scalable data solutions, solving complex data challenges, and contributing to enterprise-wide cloud transformation initiatives. Key Responsibilities Design, build, and optimise scalable ETL/ELT data pipelines. Develop and maintain data solutions using Databricks, Python, SQL, and Oracle. Support the migration of data assets from legacy platforms into ...

with business stakeholders to translate data strategy into actionable outcomes.ResponsibilitiesDesign and build scalable data solutions and pipelines for enterprise data platformsDevelop data models, manage ETL/ELT processes, and ensure data quality and complianceCollaborate with stakeholders to embed data-driven thinking across business functionsImplement efficient data ingestion and integration workflows ...

/or AWS native services for data storage, processing, orchestration, analytics, and AI enablement. Demonstrated ability to architect scalable batch and streaming pipelines using ETL/ELT patterns. Proficiency in one or more programming or query languages (e.g. SQL, Python, Java, R).Experience managing architecture quality processes, such as design ...

concepts into business insights. Operational Excellence & Standards: Ensure scalable, stable data operations using best practices in automation, observability, and continuous improvement. Requirements Advanced SQL, ETL/ELT frameworks, and cloud data platforms such as Azure, AWS, or GCP. Data modelling and pipeline orchestration using tools such as Airflow, Data Factory ...

Teradata to Databricks and the ongoing evolution of our Data & Analytics capabilities. What you'll do Data Engineering Delivery: Design, build andoptimisescalable data pipelines, ETL/ELT workflows and data transformation solutions using Databricks,PySpark, SQL anddbtCloud, delivering trusted, high-quality data products that support reporting, analytics, AI and data ...

hands-on delivery with leadership and continuous improvement. What you will do? As our Data Engineering Lead, you will: Design, develop and maintain enterprise ETL/ELT pipelines, integrating data from case management, finance, CRM and third-party systems into a central data platform. Lead the development and continuous improvement ...

with SQL, data warehousing in a RDBMS (e.g. SQL Server, MySQL). Good understanding of Data Modelling concepts and techniques. Experience building and scheduling ETL workflows. Experience with a cloud database management system like Snowflake. Good experience writing high quality, maintainable SQL on large datasets. Experience with cloud-based architecture ...

enterprise software, with strongexperience in data analytics, business intelligence, dataengineering, data science, or automation. Experience across two or more relevant domains such asanalytics, ETL/ELT, cloud data platforms, AI/ML workflows,automation, or enterprise data architecture. Knowledge of public cloud platforms such as AWS, Azure,or GCP, and ...

engineering in production environments, with strong, idiomatic Python used for reliable, well-tested systems (not exploratory notebooks). Design and operation of large-scale ETL/ELT pipelines, including orchestration (Airflow, Prefect, or similar) and reliability patterns such as retries, backfills, and exactly-once semantics. Deep experience with Azure, including ...