hands-on Senior Data Engineer

Eutopia Solutions
London, UK
4 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Amazon Web Services Cloud Computing Data Architecture Python (Programming Language) PostgreSQL Parquet Generative AI Fastapi Build Management Data Lakes
+8 more
AI Platforms Kubernetes Data Management Machine Learning Operations Data Lakehouse Terraform Data Pipelines AWS EKS

Job description

  • Design and build a scalable data platform supporting enterprise AI applications
  • Shape the data architecture and make key technical decisions
  • Develop reliable data pipelines and orchestration workflows
  • Build cloud infrastructure using Terraform and AWS
  • Create lakehouse capabilities using Parquet and Delta Lake
  • Work closely with Data Science and Engineering colleagues
  • Embed security, observability and engineering best practice from the outset

Requirements

  • Advanced Python engineering
  • Strong commercial AWS experience
  • Terraform and infrastructure as code
  • Dagster or Airflow
  • PostgreSQL
  • Data lakehouse architecture
  • Parquet and Delta Lake
  • Building secure, production-grade data platforms
  • Ability to operate with considerable autonomy

HIGHLY DESIRABLE

  • RAG pipelines or production GenAI applications
  • LangChain or Google ADK
  • pgvector and FastAPI
  • MLflow
  • AWS EKS or Kubernetes
  • SOC 2 or ISO 27001-regulated environments

Benefits & conditions

  • Outside IR35
  • Genuine four-day working week, Monday to Thursday
  • Initial three-month contract with strong potential to extend
  • London - Hybrid
  • Greenfield platform with meaningful architectural ownership

Apply for this position

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:50 min

How Parquet metadata enables efficient data reading

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

3:49 min

Container hosting options available on Amazon Web Services

Federico Fregosi · World Congress 2022

2:03 min

Introduction to open table formats built on Parquet

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

5:02 min

Migrating stateful applications between Kubernetes clusters

Michael Cade · World Congress 2022

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