151 to 175 of 500 ETL Jobs in the UK

understanding of query optimisation and performance tuning. Strong understanding of data warehousing concepts and dimensional data modelling. Experience integrating OBIEE with Oracle and non-Oracle data sources. Familiarity with ETL processes and tools (e.g., ODI, Informatica) is a plus. Experience with Oracle BI Publisher is a bonus. Excellent analytical, problem-solving, and communication skills. Company Market leading financial services organisation More ❯

ERP connectivity, including mapping tools (e.g., XSLT for XML). - Proficiency in tools such as Postman, Azure Logic Apps, and scripting languages (e.g., C#, PowerShell) for API orchestration and ETL processes. - Strong understanding of data mapping, XML/CSV/JSON formats, and handling large transaction volumes, including retries, idempotency, and throttling. - Expertise in Azure integration services (e.g., Service Bus 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 ❯

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 ❯

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 ❯

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 ❯

engineers Define and deliver the data engineering roadmap aligned with business goals Own the architecture, reliability, and scalability of the data platform end-to-end Drive best practices in ETL/ELT pipelines, data modelling, and real-time processing Partner with stakeholders to ensure data solutions are fit for purpose and future-proof Introduce and champion modern engineering practices (testing More ❯

in troubleshooting and supporting B2B enterprise applications. Advanced knowledge and hands-on experience with Spark. Experience building, maintaining, and debugging DBT pipelines. Strong proficiency in developing, monitoring, and debugging ETL jobs. Deep understanding of SQL and experience with Databricks, Snowflake, BigQuery, Azure, Hadoop, or CDP environments. Hands-on technical support experience, including escalation management and adherence to SLAs. Familiarity with More ❯

driving high-quality software delivery Strong knowledge of.NET (C#), SQL Server, SSIS/SSAS, T-SQL, and modern web frameworks (React/Angular/TypeScript) Experience with data engineering, ETL/ELT pipelines, Azure services (Data Factory, Synapse, Data Lake), CI/CD, and DevOps practices Ability to communicate complex concepts clearly to both technical and business stakeholders Collaborative mindset More ❯

as a Data Analyst Managing and manipulating data experience Strong working knowledge of SQL for data analysis (MS-SQL/Databricks - T-SQL, View and table design, Experience of ETL) Expert with PowerBI Advanced MS Excel (Power Query, Power Pivots) Stakeholder management and facilitation of decisions of all sizes Strong presentation skills for engaging senior stakeholders Ability to handle high More ❯

as a Data Analyst Managing and manipulating data experience Strong working knowledge of SQL for data analysis (MS-SQL/Databricks - T-SQL, View and table design, Experience of ETL) Expert with PowerBI Advanced MS Excel (Power Query, Power Pivots) Stakeholder management and facilitation of decisions of all sizes Strong presentation skills for engaging senior stakeholders Ability to handle high More ❯

be responsible for: • Collaborating with cross-functional teams to understand business requirements and translate them into data analysis solutions • Analyzing complex datasets using SQL, Python and visualization tools to extract meaningful insights and support decision-making • Creating and maintaining dashboards and reports using tools like Power BI to communicate findings effectively • Working with data from various sources and ensuring data … concepts • Familiarity with agile methodologies and the ability to work collaboratively in a fast-paced environment You might also have: • Experience working with DataBricks or similar platforms • Understanding of ETL processes and data pipelines • Knowledge of data modeling concepts and practices • Experience with advanced statistical analysis or machine learning techniques Domain knowledge in finance, or other relevant business areas More ❯

be responsible for: • Collaborating with cross-functional teams to understand business requirements and translate them into data analysis solutions • Analyzing complex datasets using SQL, Python and visualization tools to extract meaningful insights and support decision-making • Creating and maintaining dashboards and reports using tools like Power BI to communicate findings effectively • Working with data from various sources and ensuring data … concepts • Familiarity with agile methodologies and the ability to work collaboratively in a fast-paced environment You might also have: • Experience working with DataBricks or similar platforms • Understanding of ETL processes and data pipelines • Knowledge of data modeling concepts and practices • Experience with advanced statistical analysis or machine learning techniques Domain knowledge in finance, or other relevant business areas More ❯

be responsible for: • Collaborating with cross-functional teams to understand business requirements and translate them into data analysis solutions • Analyzing complex datasets using SQL, Python and visualization tools to extract meaningful insights and support decision-making • Creating and maintaining dashboards and reports using tools like Power BI to communicate findings effectively • Working with data from various sources and ensuring data … concepts • Familiarity with agile methodologies and the ability to work collaboratively in a fast-paced environment You might also have: • Experience working with DataBricks or similar platforms • Understanding of ETL processes and data pipelines • Knowledge of data modeling concepts and practices • Experience with advanced statistical analysis or machine learning techniques Domain knowledge in finance, or other relevant business areas More ❯

informed decisions. With the platform foundation already in place, your mission will be to scale, optimise, and operationalise it — from designing new integrations to building tools and processes that extract maximum business value. Key Responsibilities Develop and maintain a roadmap for expanding the Azure data warehouse to support advanced reporting and analytics. Enhance and maintain the existing environment, embedding data … engineering best practices. Design and implement ETL workflows, transformations, and data mapping solutions. Monitor and uphold data quality, privacy, and compliance with all relevant regulations. Improve performance and scalability while researching emerging data technologies. Act as a go-to expert for available datasets and collaborate with teams to design suitable data models. Essential Skills & Experience 5+ years in data engineering More ❯

practices. Excellent communication and stakeholder engagement skills. Desirable Skills Experience with business-critical platforms (e.g., CRM, ERP, Portals). Familiarity with MySQL or other RDBMS. Knowledge of SSIS, SSRS, ETL processes, or reporting platforms. Exposure to Azure SQL or cloud-based database hosting. Understanding of CI/CD and DevOps practices for databases. Certifications (Required or Strongly Recommended): Microsoft Certified More ❯

Azure-based architecture, with a focus on performance, scalability, and reliability. Responsibilities Design and implement robust data migration pipelines using Azure Data Factory, Synapse Analytics, and Databricks Develop scalable ETL processes using PySpark and Python Collaborate with stakeholders to understand legacy data structures and ensure accurate mapping and transformation Ensure data quality, governance, and performance throughout the migration lifecycle Document More ❯

Azure-based architecture, with a focus on performance, scalability, and reliability. Responsibilities Design and implement robust data migration pipelines using Azure Data Factory, Synapse Analytics, and Databricks Develop scalable ETL processes using PySpark and Python Collaborate with stakeholders to understand legacy data structures and ensure accurate mapping and transformation Ensure data quality, governance, and performance throughout the migration lifecycle Document More ❯

and implementation of low-code applications across the Microsoft Power Platform - Improving efficiency through automating solutions - Driving AI strategy - Oversee system enhancements and API integrations - Oversee data engineering process - ETL/ELT pipelines with Azure Data Factory - Drive development of Snowflake Data Warehouse - Team management and leading Data Engineers/Developers - Digital roadmap development - IT projects To be considered suitable More ❯

members. Key Skills & Experience: Strong hands-on experience with SAS and/or Informatica development. Proficiency in Python for data processing and automation. Experience in designing, implementing, and maintaining ETL processes . Strong understanding of data management, storage, and integration practices. Ability to work in both design and run/support capacities . Strong problem-solving and communication skills. Previous More ❯

tools and dashboards to communicate key partner data Handle and scope new data requirements from external partners Investigate and resolve data issues (e.g., product availability errors) Build and manage ETL pipelines and APIs to improve data delivery and accuracy Contribute to the overall data strategy alongside BI and analytics colleagues Tech You'll Use SQL Python Databricks Experience with web More ❯

experience including Data Consultant : Enterprise-scale data solutions using AWS cloud technologies with Databricks or Snowflakes platform Tools: for data transformation like Calibra, Qlik, Sigma, Power Platform Data Engineering : ETL/ELT pipeline development, data validation using DVT, and data quality frameworks Database Technologies : Advanced expertise in PostgreSQL and Databricks or Snowflake for data warehousing and analytics AWS Cloud Platform More ❯