Senior Data Engineer: Cloud Lakehouse & AI Analytics

Kindred (London) Limited

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

FDJ UNITED is seeking a Data Platform Engineer to design and maintain scalable data architectures across on-prem and cloud environments. You will enable real-time analytics and governance while promoting self-service insights for business users.

Key skills include data lakehouse design (Iceberg), AWS/Azure data services, dbt, Airflow, and BI/dashboard experience. The role emphasizes automation, quality, and collaboration with architects.

Qualifications

  • 5+ years of data engineering experience.
  • Experience building data lake/lakehouse architectures in cloud environments.
  • Strong knowledge of AWS or Azure data services.
  • Experience with ETL/ELT and data ingestion.
  • Proficiency with dbt and data orchestration (Airflow).
  • CI/CD practices in data engineering.
  • Familiarity with Power BI or QuickSight for dashboards.
  • Nice to have Java experience.

Responsibilities

  • Develop and maintain data solutions for on-prem and cloud environments.
  • Build modern data lake/lakehouse architectures.
  • Enhance integration using domain events for real-time processing.
  • Champion self-service analytics and AI-enabled features.
  • Deliver scalable insights with strong performance and accessibility.
  • Automate ETL/ELT and CI/CD pipelines.
  • Collaborate with cross-functional teams and document GAPs with architects.
  • Support data governance, quality, and KPI accuracy.
  • Handle release management and on-call incident support.

Skills

5+ years data engineering
Data lake/lakehouse architectures
AWS or Azure data services
ETL/ELT processes
dbt
Airflow
CI/CD for data
Power BI / QuickSight
Generative AI in analytics
Java (nice to have)

Tools

Apache Iceberg
Open Metadata
dbt (tool)
Apache Airflow

Job description

FDJ UNITED is seeking a Data Platform Engineer to design and maintain scalable data architectures across on-prem and cloud environments. You will enable real-time analytics and governance while promoting self-service insights for business users.

Key skills include data lakehouse design (Iceberg), AWS/Azure data services, dbt, Airflow, and BI/dashboard experience. The role emphasizes automation, quality, and collaboration with architects.

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