1 to 25 of 48 Permanent ETL Jobs in the Midlands

quality, security, and lifecycle management. Familiarity with data tools and platforms: SQL, MS Azure cloud technologies, Databricks, Power BI, EDP, MDM (Master Data Management). Knowledge of data modelling, ETL pipelines, and data warehousing principles. Understanding of data privacy and compliance regulations (e.g. GDPR) Experience with agile methodologies and tools (e.g., Jira, Confluence). Desirable Understanding data & analytics industry trends More ❯

SSIS, SSAS, SSRS, and PowerBI). Proficiency in languages such as Python and SQL, commonly used in Azure data processing. Use of Azure Data Factory for designing and managing ETL workflows. Experience with Microsoft Azure, including deploying and managing data solutions in Azure. Use of Azure Logic Apps for workflow orchestration. Ideally experience of Integration of data from external sources More ❯

Object-Level Security Use tools such as Tabular Editor and DAX Studio for optimisation and deployment Collaborate with DevOps to implement CI/CD pipelines in Azure DevOps Support ETL/ELT processes using Azure Data Factory, Synapse, and related services Stay current with emerging technologies, including Microsoft Fabric, to shape future data strategies Deliver insights to technical and non More ❯

resolve complex data issues and performance bottlenecks. Key Skills: 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 virtualisation using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

migrated data Desirable experience: • Azure data certifications • Azure Synapse: Synapse-link, on-demand SQL engine, dedicated SQL pool • Writing unit tests, git Version control • Awareness of reliability patterns in ETL pipelines • Use of python in Jupyter notebooks for data processing • Azure storage technologies and cost/performance characteristics • Power BI, DAX, data flows • Techniques and tools for sanitizing data prior More ❯

migrated data Desirable experience: Azure data certifications Azure Synapse: Synapse-link, on-demand SQL engine, dedicated SQL pool Writing unit tests, git Version control Awareness of reliability patterns in ETL pipelines Use of python in Jupyter notebooks for data processing Azure storage technologies and cost/performance characteristics Power BI, DAX, data flows Techniques and tools for sanitizing data prior More ❯

The role reports to a project delivery lead and works closely with internal technical teams. Key Responsibilities: Design and implement Databricks Lakehouse architecture (Delta Lake, Unity Catalog, etc.) Develop ETL/ELT pipelines using Spark, Python, SQL, and Databricks workflows Integrate with Azure services and BI tools (e.g., Power BI) Optimise performance and support CI/CD and MLOps pipelines More ❯

proficiency in developing data pipelines including coding and testing for ingesting wrangling transforming and joining data from various sources. About the role The ideal candidate should be adept in ETL tools like Informatica Glue Databricks and DataProc with strong coding skills in Python PySpark and SQL. You will have expertise in data warehousing solutions such as Snowflake BigQuery Lakehouse and More ❯

Facilitate agile ceremonies (e.g., daily stand-ups, sprint planning, retrospectives) to ensure efficient workflow. Technical Leadership & Strategy: Provide technical guidance and oversight for the design, development, and maintenance of ETL processes and system integrations. Drive best practices in software engineering, coding standards, and architectural patterns within a C#.NET environment. Collaborate with product managers, architects, and other stakeholders to define technical … effectively to both technical and non-technical audiences. The Person: Proven experience in an Engineering Manager or a senior technical leadership role, leading software development teams. Strong expertise in ETL (Extract, Transform, Load) processes and data integration patterns. Demonstrable experience with designing, building, and maintaining robust integrations between disparate systems. Solid understanding of the software development lifecycle (SDLC) and delivery … Skills: A strong background in software testing, including experience with various testing methodologies (unit, integration, system, performance) and automation frameworks. Experience with cloud platforms (ideally Azure) and cloud-native ETL/integration services. Familiarity with CI/CD pipelines and DevOps practices. Experience with message queuing systems (e.g., Kafka, RabbitMQ, Azure Service Bus). Knowledge of other programming languages or More ❯

with Google Analytics 4 and Google Tag Manager. Proficiency in BI tools like Looker Studio and Power BI. Strong knowledge of dataLayer customisation for advanced tracking needs. Experience with ETL processes and data pipelines. Familiarity with Google BigQuery, SQL, and performance marketing analytics. Ability to analyse user journeys and identify optimisation opportunities. What we can offer you What we can More ❯

experience with Power BI (DAX, Power Query, data modelling). Strong SQL Server skills for data extraction and transformation. SSIS experience is essential – capable of maintaining and tweaking existing ETL workflows. A self-starter who takes ownership and enjoys solving problems independently. Confident communicator, able to work with technical and non-technical stakeholders. Bonus: Exposure to ERP systems such as 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 ❯

IT and Business Intelligence experience Experience with Tableau, dashboard design and delivery Hands on experience querying MS-SQL and Google Big Query databases Understanding of development, data modeling and ETL knowledge that includes Data warehouse Excellent problem solving, design, debugging, and testing skills Ability to work with multiple different personality types while managing workload within a fast paced, energetic, and More ❯

a variety of financial and operational data projects that deliver real business value while contributing to documentation and planning for eventual system decommissioning. Key responsibilities include: Developing and maintaining ETL pipelines with SSIS Building and supporting reporting processes with SSRS Writing complex queries and transformations using T-SQL Translating stakeholder requirements into robust, scalable data solutions Producing technical documentation to More ❯

such as Erwin, Vertabelo, or PowerDesigner Experience in designing and implementing database structures Ability to create and maintain conceptual, logical, and physical data models Familiarity with data warehousing and ETL processes in Azure Data Factory and Azure Databricks Knowledge of industry best practices for data modelling and database design Ability to collaborate with cross-functional teams to gather and analyse More ❯

AI tools working closely with IT under organisational data governance framework · Collaborate with finance teams to gather requirements and translate them into scalable BI solutions. · Review data pipelines and ETL processes to ensure timely and accurate financial data delivery. · Develop SQL queries, stored procedures, and views for financial data analysis and reporting. · Ensure data integrity, accuracy, and consistency across reports … Looker and strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, PostgreSQL). · Experience working with financial data and understanding of accounting principles and familiarity with ETL tools (e.g., SSIS, Talend, Informatica). · Strong analytical thinking and problem-solving skills and excellent communication and stakeholder management abilities. · Experience with cloud data platforms (e.g., Azure, AWS, Google BigQuery More ❯

AI tools working closely with IT under organisational data governance framework · Collaborate with finance teams to gather requirements and translate them into scalable BI solutions. · Review data pipelines and ETL processes to ensure timely and accurate financial data delivery. · Develop SQL queries, stored procedures, and views for financial data analysis and reporting. · Ensure data integrity, accuracy, and consistency across reports … Looker and strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, PostgreSQL). · Experience working with financial data and understanding of accounting principles and familiarity with ETL tools (e.g., SSIS, Talend, Informatica). · Strong analytical thinking and problem-solving skills and excellent communication and stakeholder management abilities. · Experience with cloud data platforms (e.g., Azure, AWS, Google BigQuery More ❯

4HANA Developer and help deliver high-performance data warehousing and reporting capabilities. ️ Design and develop SAP BW/4HANA data models including ADSOs, CompositeProviders, and Open ODS Views ️ Build ETL flows using SAP Data Services and extractors ️ Work closely with business teams to gather reporting requirements ️ Optimize query performance and design efficient data models ️ Integrate SAP BW with SAP Analytics More ❯

understanding of data governance principles and best practise Proven track record rolling out data quality frameworks and governance policies Familiarity with modern data platforms (Cloud data warehouse, Data Lake, ETL/ELT, catalogues, lineage, and quality tooling). Deep Knowledge of introducing and applying DAMA-DMBOK, ISO, DCAM, or equivalent frameworks Strategic thinking & systems orientation Data quality analytics Excellent communication More ❯

and other solution specification techniques. Good to Have Working experience of Salesforce integration with SAP PM, SAP HR modules. Integration experience with SAP PI/PO systems. Knowledge of ETL tools MS SSIS tools. Involved or engaged in training targeted Salesforce audiences as per requirement. Person Specification Excellent communication and interpersonal skills. Able to work as a team member and More ❯

of how business processes translate into system functionality Proficiency with SQL (experience in a SAP HANA environment is advantageous) Exposure to Power BI, Power Platform (Power Apps, Power Automate), ETL tools, and DAX or Power Query (desirable but not essential) Confident communicator with the ability to explain technical issues to non-technical users and manage third-party relationships Hands-on More ❯

Programming skills in Python, SQL, or Arcade, and experience with spatial database systems (e.g. PostgreSQL, Azure SQL) Knowledge of FME (Form and Flow), spatial SQL, and experience working with ETL tools Understanding of BIM/CAD integration and 3D measured survey data Previous experience managing and developing GIS teams What's on Offer: Competitive salary with performance-related bonus Comprehensive More ❯

Force.com Bulk API and the Metadata API Implementation knowledge of Flow, App Builder, Process Builder, validation rule, approval process, reports and dashboards Experience using Apex Data Loader (or other ETL tools like Informatica or Boomi or Cast Iron or Mulesoft) Experience with database development, SQL or PL/SQL, database schemas, stored procedures. Follow unit testing and test class best More ❯

real-time monitoring. Create custom visualizations to track data quality metrics and system performance. Elastic integration Integration of the SIEM with critical systems to provide alerting, monitoring, data enrichment. ETL Processes with Logstash: Design, develop, and maintain data pipelines using Logstash, part of the Elastic Stack. Automate data ingestion, transformation, and loading tasks. Beats for Data Collection: Agent and Agent More ❯

programming languages such as Python and R. Experience working with cloud-based data platforms, such as Snowflake or Databricks is preferred. Expertise in using T-SQL to interrogate and extract data through complex queries and stored procedures. A comprehensive understanding of databases, query optimisation, load monitoring, the Microsoft BI Stack and ETL frameworks. Technical expertise in data mining, data auditing More ❯