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Senior Data Science Engineer

Parser
City of London
1 month ago
Applications closed

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Senior Data Science Engineer

This position offers you the opportunity to join a fast-growing technology organization that is redefining productivity paradigms in the software engineering industry.

Thanks to our flexible, distributed model of global operation and the high caliber of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people.

If you want to accelerate your career working with like-minded subject matter experts, solving interesting problems and building the products of tomorrow, this opportunity is for you.

The impact you'll make:

  • Design and develop reusable Python packages (pip/conda) to productionize data science solutions.
  • Process big data at scale using Hadoop/Spark and optimize workflows with Airflow/orchestration tools.
  • Build scalable applications and REST/RPC APIs (Flask/FastAPI/gRPC) for global products.
  • Advocate for engineering best practices, including CI/CD, DevOps, and containerization (Docker/Kubernetes).
  • Mentor junior engineers and lead initiatives to enhance research tooling and dashboards.
  • Languages: Python, SQL
  • Tools: Spark, Hadoop, Airflow, Docker, FastAPI/Flask
  • Cloud: AWS, CI/CD pipelines (Jenkins, Git)

What you'll bring to us:

  • 7+ years in data engineering/science, with expertise in Python, Spark, and SQL.
  • Proven experience with big data processing and scalable system design.
  • Strong knowledge of CI/CD, Agile frameworks, and cloud platforms (AWS).
  • Bonus: Familiarity with ML techniques (regression, clustering) and retail data.

Location:

  • Hybrid model at the office located in Hammersmith
  • Frequency: The employee must be available for up to 20-25% office presence (2-3 days per week), based on client needs.

Some of the benefits you’ll enjoy working with us:

  • Work with a multicultural team of experts on high-impact projects.
  • Competitive compensation, annual training allowances, and flexible hybrid work.
  • Opportunities to shape industry-leading data products.
  • The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.

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