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In this role you operate at the heart of a modern data environment, supporting multiple product teams that build and run complex data pipelines. You combine hands on technical expertise with a strong service mindset, helping teams move faster, improve quality, and future proof their data platforms. The position offers exposure to cloud based data engineering, automation, and continuous optimisation in a dynamic enterprise setting.
Job Responsibility:
Support data engineering and analytics teams in their daily work by advising on technical questions, resolving issues, and improving ways of working
Help shape and maintain cloud based data platforms, focusing on stability, scalability, and efficiency
Identifying recurring challenges and translating them into structural improvements through automation and standardisation
Work closely with engineers and stakeholders to ensure data pipelines are reliable, cost aware, and aligned with architectural and governance standards
Influence future technical choices and improve the overall quality of deliverables across teams
Requirements:
Several years of experience working with production grade data pipelines in a cloud environment
Proven background supporting data engineering or analytics teams in a complex organisation
Experience designing and maintaining cloud native data processing solutions
Strong knowledge of cloud data platforms and services used for processing, orchestration, and analytics
Solid understanding of data warehousing concepts and SQL
Familiarity with cost awareness in cloud environments and efficiency optimisation
Experience with CI CD workflows, infrastructure as code, and containerised environments
Comfortable automating workflows using Python or similar programming languages
Proactive mindset with a focus on improving quality, reliability, and collaboration
Strong communication skills in English, both written and verbal
Analytical approach with strong problem solving capabilities