Senior Data Engineer

hireful; Leeds; Hybrid; GBP 77,000 - 94,000; Full time

Benefits offered by this job

Health insurance

Income protection

Life assurance

Subsidised gym membership

25 days holiday + birthday off

Job summary

Hireful is seeking a Senior Data Engineer to shape our data platform. You will own scalable Databricks pipelines, establish a single source of truth and enable self‑service analytics across the business.

This UK-based, remote role offers up to £85,000 basic, a 10% bonus, and extensive benefits. You will mentor juniors and collaborate with Finance, Product, Sales and Engineering to turn business challenges into technical solutions.

Qualifications

• Senior level experience in data engineering and architecture.
• Hands-on Databricks skills (PySpark, Spark SQL, Delta Lake).
• Advanced SQL and Python coding skills.
• Track record building enterprise-scale data pipelines and ETL/ELT.
• Cloud experience (AWS preferred; Azure acceptable).
• Familiarity with CI/CD and source control best practices.
• Desirable: ML/AI interest or data science leaning.

Responsibilities

• Design, build and maintain scalable data pipelines and data products using Databricks (PySpark, Spark SQL, Delta Lake).
• Develop and optimise ETL/ELT processes to ingest and transform data from internal/external systems.
• Shape enterprise data architecture for scalability, performance and security.
• Collaborate with Finance, Product, Sales, Marketing and Engineering to translate business needs into technical solutions.
• Embed data quality, governance and access controls across the data lifecycle.
• Mentor a junior engineer and grow the data function.

Skills

Databricks

PySpark

Spark SQL

Delta Lake

SQL

Python

AWS Cloud

CI/CD

Tools

Databricks

PySpark

Spark SQL

Delta Lake

Job description

UK HQ based & fast-growing software business (400+ staff, globally), serving hundreds of enterprise customers worldwide, are looking for a Senior Data Engineer to help shape the future of its data platform. You'll take ownership of building scalable data solutions in Databricks primarily, establishing a single source of truth, and enabling trusted, self‑service access to data across the business.

Location: UK, remote with very occasional visits to the office in London. Salary: Up to £85,000 basic, plus 10% bonus and an extensive benefits package.

What you'll be doing

• 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.

What you need to bring

• “Senior” level experience in data engineering, with strong hands‑onDatabricks skills (PySpark, Spark SQL, Delta Lake, etc)
• 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 (but Azure is totally fine), and familiarity with CI/CD and source control best practice.
• Desirable: More Data Science leaning background or want to explore in this role:ML / AI & data / predictive modelling strategies.

Why you'll love this job

• A highly visible, hands‑on role with real influence over data architecture and platform strategy.
• Join a small, high‑impact team at the heart of the company’s data strategy, with genuine scope to shape how it evolves. We are near the beginning of our Data Ops’ journey – so an excellent opportunity to shape the future!
• Extensive benefits package including health insurance, income protection, life assurance, subsidised gym membership and 25 days’ holiday plus your birthday off.

If you're a Databricks specialist who wants to build something from the ground up rather than maintain someone else's legacy, we'd love to hear from you.