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Junior/Mid/Senior Data Engineer - Hybrid, London

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Croydon

Hybrid

GBP 38,000 - 130,000

Full time

5 days ago
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Job summary

A leading company specializing in sports decision-making analytics is seeking Junior, Mid, and Senior Data Engineers to join their dynamic team. Candidates should possess a passion for sports and a solid background in data engineering, particularly with cloud technologies and Python. This role offers a hybrid work model in London, fostering an environment that values collaboration and excellence.

Qualifications

  • 2+ years relevant work experience for Junior role, 4+ for Mid, and 6+ for Senior.
  • Familiarity with Agile methodologies.
  • Eagerness to learn and collaborate.

Responsibilities

  • Support development of scalable data pipelines.
  • Build and maintain reliable data pipelines.
  • Architect robust data infrastructure for Senior engineers.

Skills

Python
SQL
AWS Cloud Services
Data Modelling

Tools

dbt
Spark
DataBricks
Jira
Confluence
Snowflake

Job description

Job Description

Junior/Mid/Senior Data Engineer - Hybrid, London

Location: London (hybrid: 3 days in office in Victoria)

Contract Type: Full Time

Role Level: Junior/Mid/Senior

Salary: Junior - £38,000 - £55,000; Mid-Level - £55,000 - £75,000; Senior - £95,000 - £130,000

Reporting Line: Head of Data Engineering

Direct Reports: TBC

The Role

Prospect is on a mission to revolutionise decision making in sport. Our analytical solutions support decision making from the field through to the board room, helping our performance clients win trophies in four different sports, and winning awards for our commercial clients too. We have four primary lines of business: Performance Analytics, Sporting Product Analytics, Marketing Analytics & Execution, and Consulting & Advisory.

Since closing our seed fundraising round in June 2021, Prospect has worked with rights holders, clubs, investors, broadcasters, and other service providers to the sports industry.

We are looking for someone who is passionate about sports and analytics and excited about the intersection of the two. The ideal candidate would have experience as a problem solver, data engineer, and communicator, preferably with a strong grasp of cloud computing concepts, especially using AWS. You’ll work as part of cross-functional teams to help solve challenges and aid decision makers across the sporting landscape, from elite professional teams to leagues and broadcasters, applying advanced analytics and modelling techniques.

Personal Attributes
  • Highly motivated and results-driven with a passion for technology.
  • A passion for sports, media, and technology.
  • Can-do attitude; a self-starter eager to drive the company forward.
  • Collaborative, open to feedback, and willing to learn.
Junior Data Engineer Responsibilities
  • Support development of scalable data pipelines.
  • Assist with testing, validation, and documentation of data assets.
  • Learn from and collaborate with senior engineers.
Capabilities
  • 2+ years relevant work experience.
  • Foundational experience with Python and SQL.
  • Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro.
  • Understanding of version control, testing, and documentation.
  • Familiarity with Agile, Jira, and Confluence.
  • Proficiency working with AWS cloud services is required.
Mid-Level Data Engineer Responsibilities
  • Build and maintain reliable data pipelines.
  • Manage and optimize cloud storage and warehousing.
  • Ensure data quality, security, and maintainability.
Capabilities
  • 4+ years relevant work experience.
  • Strong SQL and Python skills.
  • Experience with Snowflake, dbt, Spark.
  • Version control, CI/CD, and testing practices.
  • Familiarity with Agile, Jira, and Confluence.
  • Proficiency working with AWS cloud services is required.
Senior Data Engineer Responsibilities
  • Architect robust data infrastructure and workflows.
  • Lead technical design and platform evolution.
  • Mentor engineers and drive operational excellence.
Capabilities
  • 6+ years relevant work experience.
  • Expertise in distributed data architecture and orchestration.
  • Deep knowledge of Snowflake, S3, Athena, dbt.
  • Leadership in security, performance, and governance.
  • Familiarity with Agile, Jira, and Confluence.
  • Proficiency working with AWS cloud services is required.
How to Apply

To apply, send your CV and cover letter to contact@prospectsport.ai with the role in the subject line. You must have the right to work in the UK. Please state your current notice period in the email.

This is an exciting opportunity to join a fast-growing company revolutionising decision-making in sport.

Prospect is committed to providing equal opportunities for candidates from all backgrounds and fostering an inclusive working environment.

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