6 of 6 ETL Jobs in Farnborough

error-handling strategies. Optional scripting skills for creating custom NiFi processors. Programming & Data Technologies: Proficiency in Java and SQL. Experience with C# and Scala is a plus. Experience with ETL tools and big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake More ❯

data challenges and contribute to the company's data-driven strategy. Key Responsibilities Design and implement efficient, scalable data pipelines using Python and SQL Server Develop, test, and deploy ETL workflows and data processing solutions using Docker containers on Azure Collaborate with data stakeholders to resolve data-related challenges Optimise existing pipelines and databases for performance and reliability Troubleshoot and More ❯

discussions, and lead presentations or demos. Learn and apply DevOps principles and tools to support continuous delivery and deployment. Gain exposure to cloud infrastructure, software architecture, data storage patterns (ETL/ELT), and DevSecOps practices. Understand and apply basic security controls such as access and account management. Contribute to system design and evaluate design trade-offs in collaboration with senior More ❯

Familiarity with distributed system patterns and architectural trade-offs. Experience with performance tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker More ❯

What you'll need to succeed Proven experience in BI development, with a strong focus on Tableau. Proficiency in SQL and working with relational databases. Experience with data modelling, ETL processes, and data warehousing concepts. Strong analytical skills and attention to detail. Excellent communication and stakeholder engagement abilities. Experience in healthcare, life sciences, or regulated industries is advantageous. What you More ❯

Leadership and customer PMO. Execution of end-to-end data loads and reconciliations WHAT IT TAKES Degree level qualification in Computer Science (or other technology-related field) Experience in ETL/Data Migration/Data Quality/Data Analysis Functional ERP experience Project experience across multiple ERP implementations Database experience - SQL Server, Oracle, etc. Customer-facing skills Excellent written and More ❯