1 to 25 of 81 ETL Jobs in the West Midlands

warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.* Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services.* Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality … more of the following technologies**Azure Databricks*** Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.* Experience of Databricks ML and Azure ML to develop predictive models and drive business insights.* Proven ...

and knowledge sharing.• Share best practices and innovations with the wider engineering community.________________________________________Technical SkillsExperience across a number of the following:• Data Integration and ETL/ELT development• SQL and database technologies• Data modelling and data transformation• Cloud data platforms (Azure, AWS or GCP)• Data warehousing and analytics platforms ...

language and simple analysis techniques to profile data. Technical experience and knowledge in On‐Premise and Public Cloud Data Services focused on database architecture, ETL, data mining, business intelligence, big data, data governance, data quality, and data cleansing. Experience with Microsoft Azure (a plus): Azure SQL Database, Analysis Services, Databricks ...

scalable data solutions. Technical Expertise Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands ...

project needs. Additional Skills & Qualifications experience with data modelling techniques and best practices. experience in data engineering, including the design of data pipelines and ETL/ELT processes. Exposure to SAP Analytics Cloud for reporting and visualisation. experience using Power BI for dashboards and business intelligence reporting. Familiarity with Informatica ...

hands‐on delivery with leadership and continuous improvement. What you will do? As our Data Engineering Lead, you will: Design, develop and maintain enterprise ETL/ELT pipelines, integrating data from case management, finance, CRM and third‐party systems into a central data platform. Lead the development and continuous improvement ...

data governance, data ethics, privacy and secure handling of data. Desirable skills and experience Experience with Python, R, dbt, cloud data platforms or ETL/ELT workflows. Experience leading small analytical workstreams or mentoring junior analysts. Experience working in Agile product, digital transformation or client delivery teams. What success looks ...

analytics capability, helping colleagues confidently access and use trusted data. What You’ll Do Develop Power BI datasets, semantic models, dashboards and reports Build ETL/ELT processes using Azure Data Factory and SQL Server Develop data warehouse solutions and dimensional models Translate business requirements into effective technical solutions Analyse ...

and optimise AWS-native data pipelines and cloud data platform capabilities. Deliver ingestion solutions using CDC, event-driven and batch processing patterns. Build scalable ETL/ELT frameworks and reusable data products using Python and SQL. Support migration of data from a large on-premise estate into AWS. Design and ...

including pivot tables, charts, and complex formulas Experience with SQL for querying and manipulating large datasets Knowledge of data integration tools (e.g., Power Automate, ETL processes) Strong communication skills, with the ability to present complex data clearly to non-technical audiences A proactive, curious approach to problem-solving and ...

leadership of engineering transformation, modernisation, or capability improvement initiatives.Technical KnowledgeStrong understanding of multiple areas across the Data Engineering ecosystem, including:• Modern data Integration and ETL/ELT platforms• SQL and Data Modelling• Cloud Data Platforms and Services• DevOps, CI/CD and automation approaches• Data Architecture and Data Engineering best ...

and hands‐on Data Engineer who enjoys solving problems, improving processes, and delivering high‐quality technical solutions. Essential experience Experience as a Data Engineer, ETL Developer, Data Platform Engineer, or a similar role Strong hands‐on experience with Python and PySpark Experience with AWS Glue, Amazon Athena, Amazon Redshift , and ...

clearly defined data domains while contributing to shared platform components. Key responsibilities include: Building and maintaining reliable data pipelines using Snowflake and Azure Developing ETL/ELT processes supporting Power BI Contributing to a scalable, high‐performance data warehouse Translating business and technical requirements into robust, well‐documented solutions Continuously ...

warehouses. Configure, manage, and monitor Microsoft Fabric tenant settings, capacity limits, and workspace architectures (Lakehouses, Warehouses, and Dataflows Gen2). Build and maintain scalable ETL/ELT data pipelines using Microsoft SQL to ingest and unify multi-source data into the data warehouse. Enforce enterprise data governance, tenant security, workspace ...

verbal communication skills Great attention to detail Excellent organisational skills. Strong analytical and problem-solving abilities Experience using Microsoft packages, including Excel Knowledge of ETL tools and data pipelines, SQL, Java and GitHub is required Applicants should be educated to degree level or possess solid work experience in related field. ...

data fabric, lake and warehousing principles and full project involvement in one or more major technology platforms, e.g. Snowflake, Azure etc. Development of the Extract Transform Load (ETL) for the relevant data insights platform Working in partnership with ET teams, across the relevant areas of ET data to undertake advanced … unit tests, schema checks, monitoring) and work with stakeholders to remediate upstream issues. Continue existing accountabilities around data fabric/lake/warehouse design, ETL/ELT development, stakeholder engagement, documentation and promoting single-source-of-truth usage across the business. Provide day-to-day operational support for AI agents ...

reliable, secure and accessible to support critical business and operational requirements. Key Responsibilities Design, develop and maintain robust data pipelines and data integration solutions. Extract, transform and load (ETL) data from multiple sources. Develop and optimise data models, databases and data processing workflows. Ensure data quality, integrity, security and compliance … Experience Proven experience working as a Data Engineer or in a similar data-focused technical role. Strong SQL and database management skills. Experience developing ETL/ELT processes and data pipelines. Knowledge of data integration, transformation and data modelling. Experience with Python or other relevant data engineering languages. Understanding ...

Oracle eBusiness Suite background with recent cloud experience (e.g, SQL/PLSQL/Java/OAF/BI/Forms/Reports.* Data Migration, ETL, knowledge. A strong candidate will have experience in data migration from Oracle eBusiness Suite to Oracle Fusion Cloud and experience using Oracle Data Integrator ...

risk management initiatives. Familiarity with regulatory frameworks and working with external regulators. Experience with broader Microsoft technologies, including Azure integrations. Knowledge of data warehousing, ETL processes, and data modelling. Experience incorporating AI or predictive capabilities into reporting or operational solutions. Candidate Profile: The ideal candidate will possess a confidence ...

and release management. Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security. Data engineering depth (Spark/Databricks; ETL/ELT); cloud‐native data + AI architectures. Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback). Consulting leadership: stakeholder, budget and risk ...

technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/ELT frameworks, data pipelines, Lakehouse architectures and real-time data solutions, ensuring engineering excellence and reusability across the platform Establishing and governing enterprise data … Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Extensive experience designing and implementing enterprise-scale data architectures, including data modelling, ETL/ELT frameworks, Lakehouse solutions, batch and real-time data processing, and cloud-native data platforms Strong understanding of data governance, security, architecture best practices ...

results and understanding how automated quality controls are implemented and enforced.Application TechnologyExperience working with, testing or leading quality activities against applications built using:• SQL• ETL Tooling• AWS Cloud environmentsPractical understanding sufficient to engage in technical discussions and challenge delivery approaches.Essential• Comfortable leading discussions within delivery and project forums.• Able ...

procedures and performance tuning. Working knowledge of GCP services such as Cloud Storage, Cloud Functions, Pub/Sub or Cloud Composer. Experience of building ETL or ELT data pipelines. Exposure to orchestration tooling for scheduled and dependency-driven workloads. Familiarity with SQL Server in support of legacy systems. Experience with ...

data modelling skills Experience with agentic AI coding tools (Claude Code, Copilot Agent Mode, Devin) and spec-driven development Big data/Lakehouse (Snowflake), ETL pipelines (Spark, Glue), or event streaming (Kafka) Interest in investment banking or financial instruments At Goldman Sachs, we commit our people, capital and ideas ...

delivering metrics and insights across market risk, building scalable data workflows and ensuring high data quality. The candidate will use Python and SQL for ETL and data analysis, with exposure to tools like Tableau, Alteryx and Power BI. #J-18808-Ljbffr ...