Senior Data Engineer – Build Scalable Data Platform (Remote)

hireful; West of England; Remote; GBP 77,000 - 94,000; Full time

Benefits offered by this job

Health insurance

Income protection

Life assurance

Gym membership

Birthday off

25 days holiday

Job summary

hireful in the UK is seeking a Senior Data Engineer to shape and scale its data platform for enterprise customers worldwide. This hands-on role focuses on Databricks, PySpark, Spark SQL and Delta Lake to deliver robust data products.

You will design pipelines, govern data quality, and collaborate with Finance, Product, Sales, and Engineering to solve complex business problems. Remote-friendly with London visits.

Qualifications

• Senior level experience in data engineering with hands-on Databricks skills.
• Advanced SQL and Python coding skills.
• A track record of building and optimising enterprise-scale data pipelines and ETL/ELT solutions.
• Solid grounding in data architecture, modelling and modern data platform design.
• Cloud experience, preferably AWS (Azure is totally fine), and familiarity with CI/CD and source control best practice.
• Desirable: ML/AI & data/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 a growing data function.

Skills

Databricks

PySpark

Spark SQL

Delta Lake

SQL

Python

Data pipelines

Data architecture

Cloud AWS

Azure

CI/CD

Tools

CI/CD tooling

Job description

hireful in the UK is seeking a Senior Data Engineer to shape and scale its data platform for enterprise customers worldwide. This hands-on role focuses on Databricks, PySpark, Spark SQL and Delta Lake to deliver robust data products.

You will design pipelines, govern data quality, and collaborate with Finance, Product, Sales, and Engineering to solve complex business problems. Remote-friendly with London visits.