Senior Data Engineer

Langham Recruitment; York and North Yorkshire; Hybrid; GBP 54,000 - 66,000; Full time

Benefits offered by this job

Private healthcare

Discount scheme

Hybrid working

Job summary

Langham Recruitment is recruiting a Senior Data Engineer for a FTSE 250 housebuilder. Hybrid role based in York with responsibilities spanning ETL, Databricks administration, BI support, and AI initiatives. You will lead data platform evolution and collaborate with BI, analytics, and AI teams.

The ideal candidate has Databricks, PySpark/Python, and SQL expertise, plus a track record in data engineering and mentorship. Hybrid office options available in York and nearby locations.

Qualifications

• Ideally a BSc / MSc in Computer Science or equivalent
• Databricks experience (approximately 3 years)
• Proficient in Python (PySpark) and SQL
• Experience with Databricks-native AI functions is a plus

Responsibilities

• Development and maintenance of ETL pipelines
• Development and maintenance of the in-house ingestion framework
• Administration of the Databricks platform including data governance
• Support BI/reporting and data initiatives across analytics and AI
• Mentor junior engineers where possible

Skills

BSc / MSc in Computer Science

Databricks experience

Python (PySpark)

SQL

Education

BSc / MSc in Computer Science

Tools

Databricks

Git

GitHub

Power BI

Job description

Senior Data Engineer – Databricks | FTSE 250 | Hybrid – York | £60,000 + 5K Car + up to 12% bonus

We are currently working with a FTSE 250 housebuilder who are looking for an experienced Data Engineer to join their team.

As a Senior Data Engineer, you'll join a small, highly collaborative team and play a key role in the development and evolution of the company's cloud-based data platform. You'll be responsible for developing and maintaining ETL pipelines, enhancing their in-house ingestion framework, administering the Databricks platform, and supporting a range of data initiatives across Business Intelligence, Analytics and AI.

This role would suit an experienced Data Engineer with strong Databricks, PySpark/Python and SQL expertise looking to step up in a senior role.

Responsibilities

• Development and maintenance of ETL pipelines
• Development and maintenance of our in-house ingestion framework
• Administration of the Databricks platform including data governance
• Supporting the Business Intelligence team in report development
• Supporting the wider business' data needs, including the AI lab and various other group functionsKey Skills & Qualifications

Key Skills & Qualifications

• Ideally a BSc / MSc in Computer Science (equivalent experience / similar degrees may also suffice)
• Databricks experience (ideally 3 years)
• Experience with Declarative Automation Bundles and Lakeflow Declarative Pipelines would be beneficial
• Python (including pyspark and declarative pipelines)
• SQL (especially DBSQL, experience with Databricks-native AI functions is a plus)

Preferred

• Databricks Data Engineering Associate / Professional Certifications
• git
• GitHub (including GitHub Actions)
• Star Schema Modelling
• Experience using Power BI or providing data for users of Power BI would be helpful in this regard
• Preparation of Feature Tables for Machine Learning
• Previous mentorship experience or line management would be a plus, but not essential

Salary and Benefits:

• £60,000 base salary
• £4,900 car allowance or equivalent company car
• Up to 12% annual bonus
• Private healthcare
• Discount scheme
• Hybrid Working from either York, Birmingham or Warrington office