Senior Python Engineer (Data)

JR United Kingdom; Stoke-on-Trent; Hybrid; GBP 80,000 - 105,000; Full time

Job summary

A leading tech-driven company is seeking a Senior Python Engineer to enhance their Data function impacting over 1 million users. This role includes a competitive salary up to £105k, hybrid working opportunities, and generous benefits including extensive leave and health insurance.

Benefits

7.5% Pension

Hybrid working: 2 days in Cardiff office

30 days work from anywhere

27 days holiday (increasing to 32)

L&D budget

Health insurance

Excellent maternity/paternity/adoption leave

Qualifications

• Experience with cloud and big data technologies, e.g., Spark, Databricks, Delta Lake.
• Familiarity with eventing technologies and file formats such as Parquet, Iceberg.

Responsibilities

• Driving the Data function to optimize user acquisition and retention.
• Building robust data pipelines to serve millions of users.

Skills

Cloud technologies

Big data technologies

Python

Job description

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Senior Python Engineer (Data), Stoke-on-Trent

Client: Identify Solutions

Location: Stoke-on-Trent, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

3

Posted:

06.06.2025

Expiry Date:

21.07.2025

Job Description:

Want to drive a top brand's Data team with 1m+ users?

If you love building software in Python, implementing robust data pipelines, and driving best practices, you may be interested in a Senior Engineer role with a highly successful tech-driven business. In this role, you'll drive the Data function, playing a key part in optimizing user acquisition and retention.

Your work will serve millions of users per month, process thousands of requests daily, and enable hundreds of integrations with partners.

Salary: up to £105k + 10% bonus, Pension: 7.5%, Hybrid working: 2 days in Cardiff office, Work from anywhere: 30 days/year, Holidays: 27 days (increasing to 32), L&D budget, Health insurance, and excellent maternity/paternity/adoption leave.

What you'll like:

• Scaling and improving a top brand's Data function, optimizing retention of millions of users, with real-life impact
• Autonomy over technology choices, selecting the latest and best languages/frameworks
• Broad career progression opportunities across the Group, including several high-profile household names

What you'll bring:

• Experience with cloud and big data technologies (e.g., Spark, Databricks, Delta Lake, BigQuery)
• Familiarity with eventing technologies (e.g., Event Hubs, Kafka) and file formats such as Parquet, Delta, Iceberg

Want to learn more? Get in touch for an informal chat.