DV-Cleared Data Engineer (AWS) – Lakehouse & Pipelines

Avanti Recruitment

West of England

Hybrid

GBP 55.000 - 80.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Bonus
Benefits

Zusammenfassung

Avanti Recruitment is seeking a DV-cleared Data Engineer to join our client’s secure data platform in a hybrid model across the UK. The role focuses on building end-to-end data pipelines using AWS, Redshift, Databricks, and Snowflake in regulated environments.

You will work with data architects and stakeholders to implement lakehouse, medallion architectures and streaming pipelines, balancing performance with risk.

Qualifikationen

  • Active DV Clearance (already held).
  • Mid to senior level data engineering experience.
  • Hands-on experience with AWS.
  • Solid understanding of modern data patterns (lakehouse, medallion, streaming).
  • Experience building pipelines and platform components at scale.
  • Comfortable working with architects, clients and other engineers.

Aufgaben

  • Build and maintain data pipelines end-to-end from ingestion to consumption.
  • Work with lakehouse and medallion architectures (Bronze, Silver, Gold).
  • Build batch and streaming pipelines depending on use case.
  • Contribute to decisions around storage, orchestration, governance, and security.
  • Collaborate with data architects and stakeholders to translate requirements into builds.
  • Operate in secure, regulated environments with attention to detail and sound judgement.

Kenntnisse

DV Clearance
Data engineering
AWS
Lakehouse architecture
Medallion architecture
Streaming data pipelines
End-to-end pipelines
Stakeholder collaboration
Trade-off decisions

Tools

AWS
Redshift
Databricks
Kafka
Snowflake
Spark
Security
Cloud platforms

Jobbeschreibung

Avanti Recruitment is seeking a DV-cleared Data Engineer to join our client’s secure data platform in a hybrid model across the UK. The role focuses on building end-to-end data pipelines using AWS, Redshift, Databricks, and Snowflake in regulated environments.

You will work with data architects and stakeholders to implement lakehouse, medallion architectures and streaming pipelines, balancing performance with risk.

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