1 to 25 of 47 ETL Jobs in the West Midlands

from the warehouse. Maintaining and improving the existing Python-based dynamic pricing model and web scraping tools. 🎯 What we’re looking for: Experience across a modern data stack for ETL/ELT processes and data warehousing. Strong SQL and Python skills, with an understanding of Kimball-style data modelling . Experience with DBT, Dagster, or Airflow for transformation and orchestration. More ❯

Git, and CI/CD pipelines. What You’ll Bring Essential Expertise: Advanced Power BI experience: enterprise modelling, datasets, DAX optimisation, performance tuning. Expert knowledge of Azure Data Factory ETL/ELT development. Strong proficiency in Azure Synapse Analytics , data warehousing, and SQL pools. Excellent SQL engineering capability across complex transformations and optimisation. Solid background with Azure Data Lake and More ❯

is used across the entire organisation. What You’ll Do Oversee the data warehouse roadmap and the data warehouse itself Lead on quality and best practise Develop and maintain ETL processes and data integrations. Optimise data solutions for performance and scalability. Ensure data integrity, security, and compliance. Act as a subject matter expert on business data. Keep documentation up to More ❯

scale What We’re Looking For Strong hands-on experience with Azure Databricks, Data Factory, Blob Storage, and Delta Lake Proficiency in Python, PySpark, and SQL Deep understanding of ETL/ELT, CDC, streaming data, and lakehouse architecture Proven ability to optimise data systems for performance, scalability, and cost-efficiency A proactive problem-solver with great communication skills and a More ❯

Skills & Experience Strong expertise in SAS 9.4 (DI) and SAS Viya 3.x (SAS Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding of Agile/Scrum frameworks. More ❯

Skills & Experience Strong expertise in SAS 9.4 (DI) and SAS Viya 3.x (SAS Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding of Agile/Scrum frameworks. More ❯

cross-functional teams to deliver robust BI solutions using Microsoft technologies. Technical Expertise : Extensive experience with Microsoft SQL Server, and related database technologies for data extraction, transformation, and loading (ETL). Solution Development : Skilled in designing, developing, and implementing business intelligence solutions, including dashboards and reports using Power BI and SSRS. Data Integration : Proficiency in integrating data from multiple sources More ❯

cross-functional teams to deliver robust BI solutions using Microsoft technologies. Technical Expertise : Extensive experience with Microsoft SQL Server, and related database technologies for data extraction, transformation, and loading (ETL). Solution Development : Skilled in designing, developing, and implementing business intelligence solutions, including dashboards and reports using Power BI and SSRS. Data Integration : Proficiency in integrating data from multiple sources More ❯

efficient, scalable, and secure data solutions that enable advanced analytics and business intelligence capabilities. Key Responsibilities: Design, build, and maintain data pipelines using Azure Data Factory (ADF) . Develop ETL/ELT processes to integrate and transform large datasets across cloud and on-prem environments. Implement and optimise data solutions in Azure Synapse, Data Lake, Databricks , and Snowflake . Write More ❯

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

testing practices, and optimising performance. Troubleshooting and resolving data-related issues to keep things running smoothly. What we're looking for: Strong understanding of data engineering principles, Lakehouse architecture, ETL/ELT, warehousing, and stream processing. Hands-on experience with Azure Databricks, Python/PySpark, SQL Server, and Azure Blob Storage. A track record of building secure, scalable data pipelines More ❯

testing, and documentation. Mentor junior analysts and contribute to data governance and analytics best practices. Key Skills & Experience Proven experience designing, building, and maintaining data pipelines using Power Automate (ETL/ELT). Strong proficiency in Power BI (including DAX) for developing insightful reports and dashboards. Advanced SQL skills (MySQL) for querying and manipulating complex datasets. Excellent data storytelling abilities More ❯

broad technical skills and ability to work with large amounts of data. You will collaborate with the Game and Product[1] teams to implement data strategies and develop complex ETL pipelines that support dashboards for promoting deeper understanding of our games. You will have experience developing and establishing scalable, efficient, automated processes for large-scale data analyses. You will also … and design solutions to support product analytics, business analytics and advance data science ● Design efficient and scalable data pipelines using cloud-native and open source technologies ● Develop and improve ETL/ELT processes to ingest data from diverse sources. ● You will work with analysts, understand requirements, develop technical specifications for ETLs, including documentation. ● You will support production code to produce … junior engineers, and contribute to team knowledge sharing. ● Document data processes, architecture, and workflows for transparency and maintainability. ● You will work with big data solutions, data modelling, understand the ETL pipelines and dashboard tools Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field More ❯

stages of the delivery lifecycle, with an interest in learning and cross-skilling. Essential skills and experience: Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle or Cloudera). Knowledge of cloud More ❯

stages of the delivery lifecycle, with an interest in learning and cross-skilling. Essential skills and experience: Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle or Cloudera). Knowledge of cloud More ❯

JOIN, WHERE, basic troubleshooting). Knowledge of ERP systems and business processes such as inventory, BOM, and work orders. Exposure to data migration or integration tasks (CSV/ODBC, ETL). Excellent communication and problem-solving skills. Familiar with Microsoft Office and ideally Power BI, Power Automate, or scripting (PowerShell) . Understanding of data protection, access control, and change management More ❯

and implementing data engineering best-practice (e.g., source-to-target mappings, coding standards, data quality, etc.), working closely with the external party who setup the environment Create and maintain ETL processes, data mappings & transformations to orchestrate data integrations. Ensure data integrity, quality, privacy, and security across systems, in line with client and regulatory requirements Optimise data solutions for performance and … Demonstrable experience in all aspects of the data engineering role, ideally as a senior or lead engineer. Strong, hands-on experience of Azure Data Factory for managing and orchestrating ETL processes Experience with Microsoft Fabric Products Strong SQL experience, including SQL queries and stored procedures, and formal database design methodologies Experience in setting up monitoring and data quality exception handling More ❯

please note this is not a typical Data Engineering role. SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI) Platform LSF, Jira, Platform Support GIT Strong expertise in ETL tools: Pentaho, Talend Experience with data virtualization using Denodo Proficiency in SAS for data analytics and reporting Oracle (good to have) Solid understanding of Agile and Scrum frameworks Hands-on More ❯

governance, security, and compliance What You’ll Bring Deep technical knowledge of SQL Server & Azure SQL Strong experience with indexing, performance tuning, and query optimisation Hands-on experience with ETL, data validation, and data migration Self-starter attitude - able to work independently and deliver results 2–5+ years in a data engineering or SQL-focused role Why Apply? Salary up More ❯

as a Senior SQL Database Administrator or in a similar senior-level role Hands-on experience with database server security patching Strong knowledge of Azure SQL Data Warehouse and ETL or data pipelines (ADF) Good understanding of database access management Confident with SQL Server Administration, performance tuning and optimisation Experience with backups, restores, and recovery models Knowledge of HA and More ❯

as a Senior SQL Database Administrator or in a similar senior-level role Hands-on experience with database server security patching Strong knowledge of Azure SQL Data Warehouse and ETL or data pipelines (ADF) Good understanding of database access management Confident with SQL Server Administration, performance tuning and optimisation Experience with backups, restores, and recovery models Knowledge of HA and More ❯

team-oriented environment Practical experience in statistical analysis through the use of statistical packages, including Excel, PowerBI, SPSS, and SAS Strong programming experience with frameworks, including XML, JavaScript, and ETL Experience of managing Microsoft Fabric data analytics platform Minimum of three years' experience mining data as a Data Analyst Using these skills, you'll be: Developing, implementing, and maintaining leading More ❯

Data Engineer/Data Engineering/Data Consultant/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/Based in the West Midlands/Solihull/Birmingham area, Permanent role, £50,000 - 70,000 + car/allowance (£5,000) + 15% bonus. One of our leading clients is looking More ❯

and PowerShell What we’re looking for: Previous experience as a SQL Database Administrator Experience with Database Server Security Patch Management Strong experience with Azure SQL Data Warehouse and ETL/data pipelines (ADF) Proficiency in Database Access Management Expertise in SQL Server Administration, Performance Tuning & Optimisation Experience with backups, restores, and recovery models Knowledge of High Availability (HA) and More ❯

on Azure Data Factory, Synapse, Data Lake, and Microsoft Fabric. The Role As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data Factory (ADF) ETL pipelines . Develop scalable Synapse Analytics data models and performance-optimised SQL workloads. Own and enhance Power BI datasets, semantic models, and reporting standards (major focus). Shape cloud data … Agile delivery through Azure DevOps and CI/CD practices. Key Skills & Experience Essential: Advanced Power BI expertise: datasets, DAX, modelling, governance, performance tuning. Expert-level Azure Data Factory (ETL/ELT pipelines, automation, optimisation). Strong Azure Synapse experience: warehousing, SQL pools, query tuning, stored procedures. Deep proficiency in SQL development and optimisation. Solid understanding of Azure Data Lake More ❯