Senior Data Engineer in CV34
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Job Description
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, , beliefs, orientations, identities, and more.
We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.\n\nJob Title: Senior Data Engineer\n Location: Warwick (Hybrid Working)\n Contract: 6 Months\n\nRole Overview\n\nOur client is seeking a skilled Senior Data Engineer to lead the design, development, and maintenance of data integration solutions and data warehouse environments. This role will focus on building and optimising ETL/ELT pipelines, supporting data warehousing initiatives, and ensuring the quality, performance, and reliability of large-scale data systems. The successful candidate will collaborate closely with data architects, analysts, and developers to drive data integration and analytics across the organisation.\n\nKey Responsibilities\n\nLead the design, development, and maintenance of large-scale data systems, including data warehouses, data lakes, and pipelines.\nDesign, develop, and maintain ETL/ELT processes utilising tools such as Matillion.\nCreate and maintain optimal data flows and data pipeline architectures.\nDevelop and manage data warehouse objects, including tables, views, and security roles in Snowflake.\nExtract data from diverse sources, including databases, flat files, and APIs.\nTransform and cleanse data to ensure quality and integrity.\nLoad data into the data warehouse while ensuring consistency and accuracy.\noptimise ETL processes for performance, scalability, and reliability.\nImplement data validation, quality checks, and security measures.\nTroubleshoot and resolve data issues, performance bottlenecks, and ETL failures.\nImplement best practises for data warehousing, data modelling, and ETL development.\nDocument ETL processes, data mappings, and configurations.\nCollaborate closely with data architects, analysts, and developers to support data integration initiatives.Requirements\n\nExperience with relational databases, ETL/ELT, and data warehousing.\nExpertise in ETL/ELT tools such as Informatica, ODI, Matillion, or SSIS.\nExperience with cloud-based data platforms like Snowflake.\nProven experience in designing and developing complex near real-time and/or batch data integration solutions.\nFamiliarity with both traditional and non-traditional analytical data design methodologies (e.g., Kimball, Inmon).\nStrong SQL programming skills and a solid understanding of relational database concepts.\nExperience in loading and maintaining enterprise data warehouse environments.Nice to Have\n\nExperience working with finance data or within financial services environments.\nFamiliarity with SAP systems and databases.\nKnowledge of data visualisation tools such as Power BI or Tableau.If you're passionate about data engineering and meet the above criteria, we would love to hear from you.
Join our client and play a pivotal role in enhancing their data infrastructure and analytics capabilities. Apply today!\n\nPlease be advised: if you haven't heard from us within 48 hours, then unfortunately your application has not been successful on this occasion. We may, however, keep your details on file for any suitable future vacancies and contact you accordingly.\n\nWe use generative AI tools to support our candidate screening process.
This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention
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