Data Engineer

TL;DR

Data Engineer: Designing, building, and optimizing data pipelines with an accent on Python, PySpark, and cloud data platforms. Focus on operating production-grade data systems, embedding engineering best practices, and enabling real-time and batch data processing.

Location: Leeds, UK (hybrid, minimum three days per week on-site)

Company

hirify.global is a leading organisation focused on building a product-led engineering team delivering lasting impact.

What you will do

• Design, build, and optimise data pipelines using Python, PySpark, SparkSQL, and Databricks.
• Ingest, transform, and enrich structured, semi-structured, and unstructured data.
• Operate and support production-grade data systems with strong observability and monitoring.
• Enable real-time and batch data processing for analytics and business applications.
• Collaborate with Product Managers, Data Architects, and Analysts in Agile squads.
• Embed best practice engineering principles and contribute to continuous improvement culture.

Requirements

• Location: Must be able to work hybrid with minimum three days per week on-site in Leeds, UK
• Strong experience with Python-based data engineering and SQL.
• Background in software engineering with experience running systems in production.
• Knowledge of observability, monitoring, and performance optimisation.
• Experience with cloud data platforms (Azure preferred).
• Comfortable working independently in an Agile, product-led environment.

Culture & Benefits

• Generous pension scheme (up to 7% matched).
• 15% retail discount (in-store and online).
• Comprehensive healthcare and wellbeing support including virtual GP, counselling, and cash plans.
• Inclusion networks and supportive culture.
• Professional development opportunities within a growing in-house engineering team.