Data Platform Engineer - Databricks, AWS & Pipelines

numi; Greater London; On-site; GBP 85,000 - 120,000; Full time

Job summary

numi is building a modern data platform and needs a hands-on engineer to design and deliver production-grade data pipelines and Databricks environments. You will shape architecture, implement scalable data workflows using Python, PySpark, and SQL, and collaborate with platform teams to raise reliability and security across data services.

You will work with IaC and automation tools, contribute to internal tooling, and help establish best practices for secure, compliant data products in a growing

Qualifications

• Hands-on experience building production-grade Databricks environments and pipelines with PySpark, Python, and SQL.
• Strong track record delivering modular, maintainable components with automated testing, Git workflows, and CI/CD.
• Experience securing data platforms with IAM, encryption, secrets management, least privilege, monitoring, and incident response.

Responsibilities

• Design, build, and maintain scalable data pipelines and data platforms.
• Define engineering standards and reusable patterns for data products.
• Ensure data security, governance, and reliability across environments.

Skills

Python

PySpark

SQL

CI/CD

Git workflows

Tools

Databricks

Terraform

GitHub Actions

DABs

Unity Catalog

Job description

numi is building a modern data platform and needs a hands-on engineer to design and deliver production-grade data pipelines and Databricks environments. You will shape architecture, implement scalable data workflows using Python, PySpark, and SQL, and collaborate with platform teams to raise reliability and security across data services.

You will work with IaC and automation tools, contribute to internal tooling, and help establish best practices for secure, compliant data products in a growing