Senior Data Engineer — AI-Driven Data Platform

Zego; Greater London; Híbrido; GBP 90 000 - 120 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Market-competitive salary

Annual performance bonus

Share options

Private medical insurance

Pension & generous holiday

Learning budget

Resumo da oferta

Zego is seeking a Senior Data Engineer to design, build, and scale our data platform in a high-growth, product-led environment. You will collaborate with Engineering, Data Science, Analytics and Product to ensure data infrastructure supports analytics, experimentation, and decision-making.

This hands-on role emphasizes code quality, CI/CD, security, and observability, with a focus on knowledge sharing and mentoring across the team.

Qualificações

• 4+ years as a Data Engineer building scalable data platforms.
• Experience designing and operating ETL/ELT pipelines and large-scale data architectures.
• Hands-on with modern data stacks: Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, Apache Spark; deployed via AWS, Docker, Terraform.

Responsabilidades

• Act as a strong technical contributor within the Data Engineering team.
• Support and grow junior engineers through pairing, code review, and knowledge sharing.
• Promote best practices in data engineering: testing, CI/CD, observability, IaC.

Conhecimentos

Data engineering

ETL/ELT pipelines

Python

SQL

Snowflake

Apache Iceberg

AWS

Airflow

dbt

Apache Spark

Docker

Terraform

Kubernetes

Ferramentas

Python

SQL

Snowflake

Apache Iceberg

AWS S3

PostgresDB

Airflow

dbt

Apache Spark

Docker

Terraform

Descrição da oferta de emprego

Zego is seeking a Senior Data Engineer to design, build, and scale our data platform in a high-growth, product-led environment. You will collaborate with Engineering, Data Science, Analytics and Product to ensure data infrastructure supports analytics, experimentation, and decision-making.

This hands-on role emphasizes code quality, CI/CD, security, and observability, with a focus on knowledge sharing and mentoring across the team.