Senior Python Engineer (Data)

JR United Kingdom; Reading; Hybrid; GBP 80,000 - 105,000; Full time

Job summary

A leading tech-driven business in the UK is seeking a Senior Engineer to enhance its Data team, impacting user retention for over a million monthly users. You will have autonomy over technology choices, work in a hybrid environment, and enjoy significant benefits, including a competitive salary with bonuses and excellent career progression opportunities.

Benefits

L&D budget

Health insurance

Excellent maternity/paternity/adoption leave

30 days work from anywhere per year

27 holidays (rising to 32)

Qualifications

• Experience with Spark, Databricks, Delta Lake, BigQuery.
• Familiarity with Event Hubs, Kafka, Parquet, Delta, Iceberg.

Responsibilities

• Drive the Data function, optimizing user acquisition and retention.
• Scale and improve the Data function for millions of users.

Skills

Cloud technologies

Big data technologies

Data pipelines

Python programming

Job description

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

If you love building software in Python, implementing robust data pipelines & 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 & 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: up to 7.5%, Work Arrangement: Hybrid (2 days in Cardiff office), Work from Anywhere: 30 days/year, Holidays: 27 days (rising to 32), Benefits: L&D budget, health insurance, excellent maternity/paternity/adoption leave.

What you'll like:

• Scale & improve a top brand's Data function, optimizing retention of millions of users and making a real impact
• Autonomy over technology choices, selecting the latest, best languages/frameworks for the job
• Broad career progression opportunities within 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

Interested in learning more? Get in touch for an informal chat.