Senior Data Engineer: Lead Data Platform & Governance

Zepz

Greater London

On-site

GBP 90,000 - 120,000

Full time

2 days ago
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Benefits offered by this job

Unlimited annual leave
Healthcare benefits
London office
Employee discounts
In-person collaboration

Job summary

Zepz is seeking a highly skilled Senior Data Engineer to lead the development and management of our data platform. You will own data modeling, governance, and scalable ETL/ELT pipelines across our cross-border remittance tech stack.

Join a global team, design robust data models, implement metadata management, and mentor engineers while optimizing compute and costs in a cloud-first environment. You’ll collaborate with stakeholders to translate business needs into trusted data outcomes.

Qualifications

  • 7+ years of data engineering experience with data platforms.
  • Expertise in data ingestion, warehousing, and modeling.
  • Proficient in SQL and one programming language (Python/Scala/Java).
  • Experience with cloud platforms (AWS, GCP, Azure).
  • Strong governance, metadata, and data cataloging practices.

Responsibilities

  • Design and evolve data models for core datasets.
  • Enforce data governance and data quality policies.
  • Implement data cataloging and metadata management.
  • Manage build/deploy lifecycle for data movement and ETL/ELT.
  • Oversee compute resources and cost optimization.
  • Provide mentoring to other data engineers.
  • Evaluate new data technologies to improve the platform.

Skills

Data engineering
Data platforms
Data modeling
SQL
Python/Scala/Java
Airflow
ETL/ELT pipelines
AWS/GCP/Azure
Data governance
Communication

Tools

Databricks
Fivetran
Astronomer
Mode
Delta Lake

Job description

Zepz is seeking a highly skilled Senior Data Engineer to lead the development and management of our data platform. You will own data modeling, governance, and scalable ETL/ELT pipelines across our cross-border remittance tech stack.

Join a global team, design robust data models, implement metadata management, and mentor engineers while optimizing compute and costs in a cloud-first environment. You’ll collaborate with stakeholders to translate business needs into trusted data outcomes.

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