Senior Data Engineer

hireful agency

3d•Remote

About The Position

The Senior Data Engineer will help shape the future of the company's data platform, taking ownership of scalable data solutions built primarily in Databricks. The role will establish a single source of truth and enable trusted, self-service access to data across the business. This is a highly visible, hands-on position with influence over data architecture and platform strategy. The successful candidate will join a small, high-impact team near the beginning of its Data Ops journey, with scope to help shape the function and mentor a junior engineer. The role is UK-based and remote, with very occasional visits to the London office.

Requirements

Senior-level experience in data engineering, with strong hands-on Databricks skills, including PySpark, Spark SQL, and Delta Lake.
Advanced SQL and Python coding skills.
A track record of building and optimising enterprise-scale data pipelines and ETL/ELT solutions.
A solid grounding in data architecture, modelling, and modern data platform design.
Cloud experience, preferably AWS; Azure is also acceptable.
Familiarity with CI/CD and source control best practices.

Nice To Haves

A more data science-oriented background or interest in exploring ML/AI, data, and predictive modelling strategies.

Responsibilities

Design, build, and maintain scalable data pipelines and data products using Databricks, PySpark, Spark SQL, and Delta Lake.
Develop and optimise ETL/ELT processes to ingest, transform, and curate data from internal and external systems.
Shape enterprise data architecture, balancing scalability, performance, security, and maintainability.
Partner with stakeholders across Finance, Product, Sales, Marketing, and Engineering to turn business challenges into technical solutions.
Embed data quality, governance, and access controls throughout the data lifecycle.
Mentor a junior engineer and help mature the growing data function.