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Senior Python Engineer (Data)

JR United Kingdom

Lincoln

Hybrid

GBP 90,000 - 120,000

Full time

7 days ago
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Job summary

A leading tech-driven company is looking for a Senior Engineer to enhance their data function. This role offers significant autonomy over tech choices and opportunities for broad career progression while impacting the retention of millions of users. With a strong focus on big data, cloud technologies, and a competitive remuneration package, this position promises a dynamic and rewarding work environment.

Benefits

30 days/year work from anywhere
27 holidays (rising to 32)
Learning & Development budget
Health insurance
Excellent maternity/paternity/adoption leave

Qualifications

  • Experience with cloud and big data technologies (e.g., Spark, Databricks).
  • Familiarity with eventing technologies (e.g., Event Hubs, Kafka).

Responsibilities

  • Build software in Python and implement robust data pipelines.
  • Optimize the acquisition and retention of users.

Skills

Python
Cloud technologies
Big data technologies
Eventing technologies

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 I have with a highly successful tech-driven business, where you'd drive the data function playing a key role in optimizing the acquisition & retention of users.

Your work will serve millions of users a month, process thousands of requests a day, 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), Work Flexibility: 30 days/year "work from anywhere", Holidays: 27 days (rising to 32), Additional 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 tech 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

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