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Permanent

GCP Data Engineer - May 2025

London
money-bag £75000 - £80000/annum
Posted 6 days ago

Role Profile: Data Engineer
Reporting to: Lead Data Engineer

Background
A rapidly growing specialist (re)insurance organisation is building out its technology and data infrastructure. This role supports the delivery of secure, scalable cloud data solutions, aligning with business and compliance needs.

Key Responsibilities

  • Design, build, and maintain cloud-native data pipelines (Azure/GCP)

  • Implement scalable data management frameworks: observability, validation, lineage

  • Translate business needs into effective technical prototypes and solutions

  • Collaborate with stakeholders, data teams, and service partners

  • Ensure data security, governance, and regulatory compliance

  • Monitor and optimise cloud resource usage and performance

  • Automate data lifecycle tasks to improve speed, consistency, and reliability

  • Support analytics teams with clean, modelled data for self-service tools

  • Mentor peers, share documentation, and support technical best practices

  • Integrate infrastructure and data services across cloud platforms

Skills and Experience

  • Expertise in cloud platforms:

    • Azure: Data Factory, Synapse, Monitor, ARM

    • GCP: BigQuery, Dataflow, Cloud Composer, Pub/Sub

  • Strong knowledge of data warehousing, storage, and modelling

  • Experience with ETL/ELT processes and performance tuning

  • Hands-on scripting (Python, PowerShell) for automation

  • Familiarity with CI/CD tools (Azure DevOps, GitHub Actions)

  • Infrastructure as Code: Terraform, ARM templates

  • Working knowledge of data catalogues (Azure Purview, GCP Data Catalog)

  • Knowledge of GDPR, HIPAA, RBAC, encryption, and auditing

  • Insurance data familiarity: placements, claims, policies, underwriting

  • Effective stakeholder communication and delivery focus

  • Strong project and time management in fast-paced environments

Desirable Tools and Tech

  • Power BI, Tableau, Looker, Domo

  • Data governance and metadata management tools

  • DevOps for data workflows, hybrid/multi-cloud architectures

  • Monitoring and cost optimisation tools (Azure Monitor, GCP cost tools)

Culture and Conduct

  • Act as a role model for integrity, professionalism, and teamwork

  • Uphold all compliance, legal, and internal policy standards

  • Seek innovation and continuous improvement in all technical efforts

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