1 to 25 of 56 Permanent ETL Jobs in the Midlands

of a data-driven environment. Key Responsibilities: Design, build, and deliver end-to-end data solutions and Power BI products within the Azure cloud environment Develop, maintain, and optimise ETL and orchestration pipelines in Azure Data Factory Work closely with technical teams and business stakeholders to design and deliver high value BI products Translate complex business needs into clear, efficient More ❯

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 ❯

in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL (and Python would be a bonus) Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design Working knowledge of Power BI or similar More ❯

in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL (and Python would be a bonus) Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design Working knowledge of Power BI or similar More ❯

self-service analytics and data literacy. Who We're Looking For: Proven experience with Power BI, DAX, Power Query, and data modeling. Strong understanding of data warehousing concepts and ETL processes. Proficiency in SQL and experience working with relational databases. Excellent problem-solving and communication skills. Ability to work independently and manage multiple projects simultaneously. Experience with other Microsoft tools More ❯

team, you’ll collaborate with analysts, data scientists, and key stakeholders to deliver practical, scalable solutions that make a real impact. Key Responsibilities Design, build, and maintain robust, scalable ETL/ELT pipelines using tools such as Airflow and AWS services (S3, Redshift, Glue, Lambda, Athena). Integrate new data sources and continuously optimise performance and cost efficiency. Ensure data More ❯

self-service analytics and data literacy. Who We're Looking For: Proven experience with Power BI, DAX, Power Query, and data modeling. Strong understanding of data warehousing concepts and ETL processes. Proficiency in SQL and experience working with relational databases. Excellent problem-solving and communication skills. Ability to work independently and manage multiple projects simultaneously. Experience with other Microsoft tools 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 ❯

strategy, architecture, integration and migration activities for Oracle Fusion Cloud implementation. You should have knowledge of Oracle Fusion data models across multiple modules (Financials, SCM, EPM), strong expertise in ETL, data governance and cloud data integration tools. Key Responsibilities : Provide solutions and configure Define and lead the data architecture strategy for Oracle Fusion Cloud applications across various business domains. Design 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 ❯

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 ❯

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 ❯

including design, security, documentation, and policy enforcement. Design and implement data workflows using Azure Data Factory (ADF) and Synapse Analytics. Integrate data from various sources using KingsWaySoft and other ETL tools. Build and maintain solutions leveraging Power Platform, including: Power Apps for custom business applications. Power Automate for process automation and workflow orchestration. Logic Apps for enterprise-grade integrations and 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 ❯

manage customer and partner expectations whilst implementing changes Qualifications Demonstratable experience analyzing large data sets from varied sources Experience developing sustainable, insightful, automated OI/BI Experienced with data ETL (Azure Data Factory, AWS Glu, Postman, SSIS), manipulation and data visualisation tools (Power BI/Tableau) Hands-on experience data warehousing (DBA) design and principles An understanding of forecasting principles 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 ❯

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 ❯

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 ❯

shape the future of data. Key Responsibilities: Oversee daily management and maintenance of data systems. Ensure robust data system security and patching. Support the team in producing Data and ETL services. Conduct data analysis, design, and remediation activities. Engage in transformation activities and champion change agendas. Identify and propose enhancements for data-centric processes. Create high-quality functional and technical 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 ❯