AI-First Data Engineer — Build Scalable Pipelines & Equity

Zego; Greater London; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Salary and bonuses

Share options

Private medical insurance

Pension & holidays

commuting/learning stipend

Job summary

Zego in London is seeking a hands-on Data Engineer to build and maintain scalable data pipelines within an established platform. You will collaborate with Engineering, Data Science, Analytics and Product to ensure data is reliable and ready for analytics and operation.

This role emphasizes AI-first work, encouraging you to adopt new tools, experiment rapidly, and own impactful solutions while growing technical skills.

Qualifications

• 2+ years as a Data Engineer working on data platforms.
• Experience building and operating ETL/ELT pipelines.
• Hands-on experience with modern data stacks — Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with some of these or similar technologies is expected).

Responsibilities

• Build, maintain, and improve data pipelines and related systems.
• Follow and help uphold best practices in data engineering, including testing, CI/CD, observability, and infrastructure as code.
• Take part in code reviews and team knowledge sharing.
• Build and maintain data pipelines, warehouses, and streaming systems within our existing architecture.
• Ensure data is modelled and structured to meet analytics, data science, and operational use cases.
• Contribute to improvements in our data systems and tooling.
• Work with teams across the business to understand requirements and turn them into reliable technical solutions.
• Help identify opportunities for optimisation and tool improvements.
• Deliver against the technical roadmap for data engineering.

Skills

Data engineering

ETL/ELT pipelines

Python

SQL

Snowflake

Airflow

dbt

AWS

Terraform

Docker

Tools

Snowflake

Apache Iceberg

PostgresDB

AWS

dbt

Terraform

Docker

Kubernetes

Apache Spark

Job description

Zego in London is seeking a hands-on Data Engineer to build and maintain scalable data pipelines within an established platform. You will collaborate with Engineering, Data Science, Analytics and Product to ensure data is reliable and ready for analytics and operation.

This role emphasizes AI-first work, encouraging you to adopt new tools, experiment rapidly, and own impactful solutions while growing technical skills.