9 of 9 ETL Jobs in Milton Keynes

to interpret complex data needs. Advanced Excel skills (eg pivot tables, formulas, data manipulation). Proven ability to translate business requirements into BI solutions. Good understanding of data warehousing, ETL, and data modelling. Strong knowledge of data quality, governance, and management. and ideally have knowledge Effective communicator for both technical and non-technical audiences. Experience documenting BI solutions, including data More ❯

Key Responsibilities:- Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data analysts and business stakeholders to understand data requirements. Optimize data workflows for performance and reliability. Ensure data quality, integrity, and security across systems. Work with large datasets using tools like Hadoop, Spark, and SAS. Integrate data from various sources including IBM Mainframe systems. Troubleshoot and More ❯

will work closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. YOUR PROFILE Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements and translate them More ❯

a Data Architect within banking or financial services, leading large-scale programmes. Strong stakeholder management and communication skills, with the ability to influence at senior levels. Deep knowledge of ETL, MI/BI, data warehousing, data modelling, and data governance. Proficiency with technologies such as Ab Initio, SQL, RDBMS, Hadoop, and data modelling tools. Experience with Agile and Waterfall methodologies … management. Exposure to machine learning concepts and their integration into data platforms. Familiarity with cloud-native data architectures (e.g., AWS, Azure, GCP). K ey Skills: Data Architect/ETL/AWS/Teradata/Informatica/Banking More ❯

forward thinking team that values innovation, quality, and continuous improvement. In this role, you will be responsible for: Designing and delivering data solutions using Microsoft technologies Building and maintaining ETL pipelines across complex data environments Collaborating with Architects, Engineers, and cross-functional teams to develop solutions that meet business needs Participating in Agile ceremonies and contributing to code reviews Creating … To be successful in this role, you will have: Experience working on the Microsoft Platform e.g. SQL Server, SSIS, SSRS Strong data warehousing and data modelling experience Experience creating ETL pipelines (primarily using SSIS) Experience working in regulated environments Power BI experience for reporting would be beneficial Some of the package details include: Salary of up to £60,000 Fully More ❯

Senior Data Analyst - GCP, PostregSQL, AWS, ETL, SQL - Hybrid, Milton Keynes A large global organisation are looking to hire a Senior Data Analyst to lead end-to-end data workflows from requirement to delivery including data product creation and secure data transfer from Google Cloud Platform to PostgreSQL. This will be a full time permanent position. The role will be … prioritizing clarity, reusability, and efficiency. Build and manage workflow orchestrations (eg, Airflow DAGs) to automate those views, ensuring reliable execution on daily, weekly, or customized schedules. Execute Cross Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule … jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. Monitor, Troubleshoot & Resolve Incidents Continuously oversee ETL workflows in Airflow and AWS Glue, proactively responding to alerts and errors. Conduct root cause analysis for pipeline failures-whether due to schema mismatches or performance bottlenecks-and apply robust fixes. Document resolutions to strengthen system resilience. Design, Build More ❯

prioritizing clarity, reusability, and efficiency. Build and manage workflow orchestrations (e.g., Airflow DAGs) to automate those views, ensuring reliable execution on daily, weekly, or customized schedules. Execute Cross Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule … jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. Monitor, Troubleshoot & Resolve Incidents Continuously oversee ETL workflows in Airflow and AWS Glue, proactively responding to alerts and errors. Conduct root cause analysis for pipeline failures-whether due to schema mismatches or performance bottlenecks-and apply robust fixes. Document resolutions to strengthen system resilience. Design, Build … stakeholder engagement, user stories, or use cases. Convert these into detailed design artifacts, including architecture diagrams, data models, and specifications for development. Optimize Performance Across the Stack Continuously refine ETL pipelines, SQL logic, and data workflows to boost efficiency and scalability. Techniques may include indexing, partitioning, caching, or employing materialized views to improve query speed. Lead Migration from hh360 to More ❯

clarity, reusability, and efficiency. Build and manage workflow orchestrations (e.g., Airflow DAGs) to automate those views, ensuring reliable execution on daily, weekly, or customized schedules. 2. Execute Cross‐Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule … jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. 3. Monitor, Troubleshoot & Resolve Incidents Continuously oversee ETL workflows in Airflow and AWS Glue, proactively responding to alerts and errors. Conduct root cause analysis for pipeline failures—whether due to schema mismatches or performance bottlenecks—and apply robust fixes. Document resolutions to strengthen system resilience. 4. … engagement, user stories, or use cases. Convert these into detailed design artifacts, including architecture diagrams, data models, and specifications for development. 6. Optimize Performance Across the Stack Continuously refine ETL pipelines, SQL logic, and data workflows to boost efficiency and scalability. Techniques may include indexing, partitioning, caching, or employing materialized views to improve query speed. 7. Lead Migration from hh360 More ❯

workflows. Key Responsibilities Lead enterprise data architecture strategy and data modelling across payment systems. Design and validate High-Level Data Designs, integration frameworks, and source-to-target workflows. Guide ETL/data engineering activities, ensuring alignment to design standards and performance requirements. Collaborate with senior stakeholders, solution architects, and project managers across change and delivery streams. Champion data governance, scalable … and architecture best practices. Provide technical leadership, documentation oversight, and mentorship to engineering teams. Key Skills (Keywords Only) Ab Initio, Informatica, Spark, Sqoop, Teradata, Hadoop, SQL, RDBMS, Data Modelling, ETL, Data Warehousing, Data Governance, Payments Domain More ❯