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.