101 to 125 of 433 ETL Jobs in England

a strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems ETL Tools – has strong knowledge of ETL tools essential for building data pipelines effectively Data Architecture – knowledge of data architecture, and must work with data architect to optimise solutions Cloud Computing More ❯

a strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems ETL Tools – has strong knowledge of ETL tools essential for building data pipelines effectively Data Architecture – knowledge of data architecture, and must work with data architect to optimise solutions Cloud Computing More ❯

a strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems ETL Tools – has strong knowledge of ETL tools essential for building data pipelines effectively Data Architecture – knowledge of data architecture, and must work with data architect to optimise solutions Cloud Computing More ❯

. Experience designing and building data lakes and modern data platforms. Proficiency with Python, SQL, and data pipeline orchestration tools (e.g., Airflow, dbt). Strong understanding of data modelling, ETL/ELT processes, and distributed systems. Knowledge of data security, governance, and compliance best practices. Excellent leadership, communication, and stakeholder engagement skills. What's on Offer: Greenfield project: the chance 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 ❯

setting standards for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science 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 ❯

Troubleshoot integration issues and optimize pipeline performance Document workflows and maintain best practices for SnapLogic development Requirements: Proven hands-on experience with SnapLogic (Enterprise Integration Cloud) Strong understanding of ETL/ELT concepts and integration patterns Experience working with APIs, cloud platforms (e.g., AWS, Azure, GCP), and databases (SQL/NoSQL) Familiarity with REST, JSON, XML, and data mapping/ 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 central, accessible system What you'll bring: Excellent SQL and Python skills Proven experience building centralised data platforms (Snowflake, Azure Data Factory, or similar) Strong data warehousing and ETL experience Ability to work in fast-paced, less structured environments and propose scalable solutions Experience mentoring or managing juniors (or ready to step into that responsibility) Background in commodities, trading 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 ❯

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 ❯

and optimising large-scale cloud-based solutions (AWS, Azure, or GCP). Strong Snowflake expertise (Snowpipe, Snowpark, Dynamic Tables, UDFs) - SnowPro certification desirable. Advanced Python and SQL skills for ETL/ELT processes. Experience with CI/CD pipelines and automated testing in data workflows. Knowledge of data governance, security best practices, and performance optimisation. Confident working directly with clients 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 ❯

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 ❯

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 ❯

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 ❯