Data Platform Engineering Manager - London (3 days) - Azure, Python/Java, Spark, Kubernetes, Terrafo
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Job description
Data Platform Engineering Manager - London (3 days) - Azure, Python/Java, Spark, Kubernetes, Terraform - PERM, Our client is hiring an Engineering Manager to lead the data platform team. The platform sits at the centre of their security detection strategy. It feeds threat detection, incident response, reporting, ML and GenAI work across the wider security teams.
You’ll lead a team of data platform engineers and own the technical decisions. That means Real Time, near Real Time and batch architecture, the ingestion frameworks pulling security sources into the security lake, and the transformation layers moving data from raw to trusted to curated. You’ll also look after data security and compliance, drive automation and DevOps practices, manage service providers, and report into cyber security leadership. Hiring and growing the team is part of the job too. It’s hybrid, 3 days a week in the London office and 2 days remote.
Requirements
- Experience as an Engineering Manager leading data teams and delivering data projects at scale
- Strong Python or Java, plus solid SQL
- Cloud data platforms (Azure preferred) and big data tech such as Spark and Flink
- Kubernetes, CI/CD and Terraform
- ETL and ELT frameworks and orchestration tools like Airflow
- Hiring, developing and keeping good engineering talent
- Working with stakeholders at all levels to drive adoption of a data platform
- Knowledge of cyber security principles and practices
Benefits & conditions
TrinIT Talent are looking for a Data Platform Engineering Manager to join our customers team based in London. This is a permanent position paying up to £120,000 basic plus up to 20% bonus and benefits depending on experience.
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