Senior Data Science Engineer

Parser; City Of London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

A technology organization is seeking a Senior Data Science Engineer to design and develop reusable Python packages and process big data using modern tools like Spark and Hadoop. This role offers the unique opportunity to work within a multicultural team, engaging in high-impact projects while enjoying competitive compensation and a flexible hybrid work model.

Benefits

Competitive compensation

Annual training allowances

Flexible hybrid work

Work with a multicultural team

Qualifications

• 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).

Responsibilities

• Design and develop reusable Python packages to productionize data science solutions.
• Process big data at scale using Hadoop/Spark.
• Build scalable applications and REST/RPC APIs for global products.

Skills

Python

SQL

Data Engineering

Big Data Processing

Cloud Computing

CI/CD

Agile Frameworks

Tools

Spark

Hadoop

Airflow

Docker

FastAPI

Flask

AWS

Jenkins

Git

Job description

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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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