126 to 150 of 500 ETL Jobs in the UK

architects, developers, and stakeholders Facilitate workshops and support data governance initiatives Contribute to enterprise data strategy decisions Requirements: Strong SQL, relational database design, and data modelling skills Experience with ETL, data warehousing, and platforms like SQL Server, Oracle, Snowflake Familiarity with ServiceNow and cloud architecture Deep understanding of enterprise systems and data flows Experience with API integrations and system interfaces More ❯

architects, developers, and stakeholders Facilitate workshops and support data governance initiatives Contribute to enterprise data strategy decisions Requirements: Strong SQL, relational database design, and data modelling skills Experience with ETL, data warehousing, and platforms like SQL Server, Oracle, Snowflake Familiarity with ServiceNow and cloud architecture Deep understanding of enterprise systems and data flows Experience with API integrations and system interfaces More ❯

a Data Architect , ideally in a law firm or professional services Deep knowledge of Azure-native data services , including: Azure Synapse Analytics Azure Data Lake Gen2 Azure Data Factory (ETL/ELT) Azure Databricks Azure Purview (data governance) Microsoft Fabric Hands-on expertise in data modelling (conceptual, logical, and physical) Experience with MDM platforms (e.g., Profisee, Semarchy, CluedIn, Reltio) Strong More ❯

development skills using Node.js, Python, Java, or similar. Strong understanding of API design and integration techniques (REST, Webhooks, GraphQL). Familiarity with authentication protocols (OAuth2, JWT). Experience with ETL/ELT frameworks and data pipeline tools. Solid understanding of relational and NoSQL databases. Hands-on experience with AWS cloud services and integration tools. Strong debugging, analytical, and communication skills. More ❯

Brilliant team culture + socials What you'll need: Strong SQL skills - you'll be optimising queries and managing complex financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing solutions - Snowflake experience would be brilliant More ❯

frequency trading , or technology-driven startups Expert-level Python skills - designing, debugging, and optimizing complex applications Very strong data capabilities with Pandas , NumPy , SQL , real-time data processing, and ETL Familiarity with DevOps practices including Linux , cloud platforms , CI/CD , and containerization (Docker/Kubernetes desirable) Proven ability as a live problem-solver, comfortable working under time pressure and More ❯

in cloud platforms (AWS, Azure, GCP, Snowflake). Technical Skills Proficiency in big data tools (Apache Spark, Hadoop). Programming knowledge (Python, R, Java) is a plus. Understanding of ETL/ELT, SQL, NoSQL, and data visualisation tools. Awareness of ML/AI integration into data architectures. Governance & Lifecycle Strong grasp of data architecture lifecycle and modern design principles. Knowledge More ❯

experience in a Data Engineer role and a strong academic background Python & SQL: Advanced-level Python for data applications and high proficiency SQL for complex querying and performance tuning. ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud More ❯

data-intensive industry Expert-level proficiency in various data modeling techniques and tools Strong hands-on experience with cloud data platforms, specifically Google Cloud Platform - BigQuery Experience with leading ETL/ELT tools and data pipeline orchestration (e.g., Dataflow, Apache Airflow, Talend, Informatica) Advanced SQL skills and deep knowledge of various database technologies (relational, columnar, NoSQL) Practical experience in establishing More ❯

within Power BI Support the integration and management of Microsoft Fabric as part of the evolving data architecture Participate in the full project lifecycle from design to deployment Optimise ETL/ELT processes and propose enhancements to existing systems Implement and maintain API integrations Collaborate with users, analysts, and developers to drive data performance improvements Document data models, pipelines, and … similar technical role Hands-on experience with key Microsoft Azure services: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Azure SQL Database Solid understanding of data modeling, ETL/ELT, and warehousing concepts Proficiency in SQL and one or more programming languages (e.g., Python, Scala) Exposure to Microsoft Fabric, or a strong willingness to learn Experience using version More ❯

AI, ML, mobile). Ability to tackle design and functionality problems independently with little oversight. Experience performing data analytics on AWS platforms. Experience in writing efficient SQLs, implementing complex ETL transformations on big data platforms. Experience with Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.). Experience in data quality testing; adept at writing test cases and scripts, resolving More ❯

audits, and issue management Ensure consistent, accurate, and reliable data across all systems Data Integration & Warehousing Build and manage a centralised data warehouse Apply ETL processes to extract, transform and load data Integrate data across platforms using APIs, Celigo, Make Keep documentation updated in the IT Knowledgebase Analysis & Insights Build and maintain dashboards and MI reports Analyse complex datasets to … Embed data metrics into team performance tracking What You’ll Need Top 5 Must-Have Competencies Strong communication skills – clear, concise and confident Experience with data modelling, data warehousing, and ETL processes Excellent problem-solving and critical thinking skills High attention to detail and accuracy Qualification in Data Science, IT, Statistics, Maths, or similar Also Important Proven experience in a More ❯

audits, and issue management Ensure consistent, accurate, and reliable data across all systems Data Integration & Warehousing Build and manage a centralised data warehouse Apply ETL processes to extract, transform and load data Integrate data across platforms using APIs, Celigo, Make Keep documentation updated in the IT Knowledgebase Analysis & Insights Build and maintain dashboards and MI reports Analyse complex datasets to … Embed data metrics into team performance tracking What You ll Need Top 5 Must-Have Competencies Strong communication skills clear, concise and confident Experience with data modelling, data warehousing, and ETL processes Excellent problem-solving and critical thinking skills High attention to detail and accuracy Qualification in Data Science, IT, Statistics, Maths, or similar Also Important Proven experience in a More ❯

Proven track record in backend development (e.g., Node.js, Python, Java). Strong knowledge of API design, integration methods (REST, Webhooks, GraphQL), and authentication protocols (OAuth2, JWT). Experience with ETL/ELT tools and frameworks. Solid database skills (SQL and/or NoSQL). AWS cloud platform experience, particularly in integration services. Strong debugging, problem-solving, and communication abilities. Comfortable More ❯

Proven track record in backend development (e.g., Node.js, Python, Java). Strong knowledge of API design, integration methods (REST, Webhooks, GraphQL), and authentication protocols (OAuth2, JWT). Experience with ETL/ELT tools and frameworks. Solid database skills (SQL and/or NoSQL). AWS cloud platform experience, particularly in integration services. Strong debugging, problem-solving, and communication abilities. Comfortable More ❯

Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine More ❯

contract we would like to discuss with you. Please note this role requires onsite attendance once a week and has been deemed inside IR35. Requirement: Experience in Azure Synapse, ETL, Pyspark, SQL , data Modelling and Data Bricks. Design and develop Azure Pipelines including data transformation and data cleansing Document source-to-target mappings Re-engineer manual data flows to enable More ❯

contract we would like to discuss with you. Please note this role requires onsite attendance once a week and has been deemed inside IR35. Requirement: Experience in Azure Synapse, ETL, Pyspark, SQL , data Modelling and Data Bricks. Design and develop Azure Pipelines including data transformation and data cleansing Document source-to-target mappings Re-engineer manual data flows to enable More ❯

Contribute to the overall data strategy and architecture 🔹 Tech Stack You’ll be working with: Programming: Python, SQL, Scala/Java Big Data: Spark, Hadoop, Databricks Pipelines: Airflow, Kafka, ETL tools Cloud: AWS, GCP, or Azure (Glue, Redshift, BigQuery, Snowflake) Data Modelling & Warehousing 🔹 What’s on Offer 💷 £80,000pa (Permanent role) 📍 Hybrid – 2 days per week in Central London 🚀 Opportunity More ❯

Contribute to the overall data strategy and architecture 🔹 Tech Stack You’ll be working with: Programming: Python, SQL, Scala/Java Big Data: Spark, Hadoop, Databricks Pipelines: Airflow, Kafka, ETL tools Cloud: AWS, GCP, or Azure (Glue, Redshift, BigQuery, Snowflake) Data Modelling & Warehousing 🔹 What’s on Offer 💷 £80,000pa (Permanent role) 📍 Hybrid – 2 days per week in Central London 🚀 Opportunity More ❯

Contribute to the overall data strategy and architecture 🔹 Tech Stack You’ll be working with: Programming: Python, SQL, Scala/Java Big Data: Spark, Hadoop, Databricks Pipelines: Airflow, Kafka, ETL tools Cloud: AWS, GCP, or Azure (Glue, Redshift, BigQuery, Snowflake) Data Modelling & Warehousing 🔹 What’s on Offer 💷 £80,000pa (Permanent role) 📍 Hybrid – 2 days per week in Central London 🚀 Opportunity More ❯

Contribute to the overall data strategy and architecture 🔹 Tech Stack You’ll be working with: Programming: Python, SQL, Scala/Java Big Data: Spark, Hadoop, Databricks Pipelines: Airflow, Kafka, ETL tools Cloud: AWS, GCP, or Azure (Glue, Redshift, BigQuery, Snowflake) Data Modelling & Warehousing 🔹 What’s on Offer 💷 £80,000pa (Permanent role) 📍 Hybrid – 2 days per week in Central London 🚀 Opportunity More ❯

Contribute to the overall data strategy and architecture 🔹 Tech Stack You’ll be working with: Programming: Python, SQL, Scala/Java Big Data: Spark, Hadoop, Databricks Pipelines: Airflow, Kafka, ETL tools Cloud: AWS, GCP, or Azure (Glue, Redshift, BigQuery, Snowflake) Data Modelling & Warehousing 🔹 What’s on Offer 💷 £80,000pa (Permanent role) 📍 Hybrid – 2 days per week in Central London 🚀 Opportunity More ❯

complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of SQL (SQL Performance Tuning) and ETL Experience of data warehousing and data lake solutions. Experience working in an Agile environment. This is an excellent opportunity to join a company as it continues to grow and expand More ❯

use Power BI to create interactive reports, dashboards, and visualisations while designing scalable and efficient data models to support business insights. You'll be responsible for building and maintaining ETL pipelines, optimising data loading processes, and leveraging our in-house Power BI Embedded application to share insights across the business. Working closely with stakeholders, you'll translate reporting requirements into More ❯