Senior Python Data Engineer - Experimentation Platform

Just Eat Takeaway.com; Bristol; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading food delivery platform is seeking a Senior Python Data Engineer to develop and maintain reliable data engineering solutions. The role focuses on leveraging GCP technologies to improve an experimentation platform, requiring proficiency in Python and experience with cloud data storage solutions. Collaborating with various teams and ensuring high standards of code quality are essential aspects of this position.

Qualifications

• Proficiency in Python for engineering applications.
• Experience with cloud infrastructure using Infrastructure as Code (Terraform).
• Solid experience in cloud data storage, particularly in Google BigQuery.

Responsibilities

• Design, develop, and maintain reliable data engineering solutions in GCP.
• Collaborate with other teams to resolve issues and standardise practices.
• Develop and maintain robust CI/CD processes.

Tools

Python

Google BigQuery

Terraform

Airflow

Docker

Kubernetes

Job description

Overview

Location Open to Both Bristol & London

Ready for a challenge?

The Experimentation Platform team is dedicated to supporting the business by operating JET's internal feature management and experimentation platform, JetFM. This involves processing vast amounts of experiment data, and thoroughly analysing and interpreting the results. Your primary goal in this Senior Python Data Engineer role is to help scale the use and scope of this state-of-the-art experimentation platform, expanding experimentation throughout the organisation. Automation and making experimentation fully self-served are key objectives, addressing the current complexity and learning curve for users driving greater volume of experiments & associated data processing. You will collaborate closely with other engineers, data scientists, and analysts as part of a broader engineering community.

The day-to-day work includes developing complex data pipelines in Python operating on massive amounts of data in Big Query. The role requires a versatile engineering skillset beyond traditional data engineering: evolving backend APIs, productionising statistical methodologies at scale, integration with other platforms or building data tools as required.

Responsibilities

• Design, develop, and maintain reliable and scalable data engineering solutions within Google Cloud Platform (GCP).
• Work collaboratively, prioritising teamwork and stakeholder value to achieve collective goals.
• Advocate for building future-proof solutions for long-term impact.
• Spread engineering skills and best practices within the team and wider engineering community.
• Work cross-functionally with other Platform Engineering teams to resolve issues and standardise practices.
• Continuously improve & maintain robust infrastructure, CI/CD processes, and monitoring solutions for the experimentation platform.
• Integrate the experimentation platform with new data sources and develop data flows for processing and transforming data.
• Develop the experimentation platform with efficient reporting solutions and cloud APIs to deliver experiment results to stakeholders.
• Engineer a metrics library solution in the data warehouse to enable stakeholders to self-serve experimentation metrics.
• Collaborate with data scientists to implement new methodological improvements to the statistical experimentation engine in a scalable and future-proof manner.

What will you bring to the team?

• Dedication to Data Engineering such as Google Vertex AI pipelines, Airflow/DBT.
• Proficiency in Python for engineering applications.
• Experience with setting up, deploying, and managing cloud infrastructure using Infrastructure as Code (Terraform).
• Strong application of engineering best practices across the product development lifecycle, including automated testing, CI/CD, and code reviews.
• Comfortable working with various technologies across the software and data engineering stack, including Airflow, Vertex AI, Kubernetes, Docker, GitHub Actions, Jenkins, Google Cloudbuild, Prometheus, and Grafana.
• Solid experience in cloud data storage, with particular expertise in Google BigQuery (GBQ), GCS/S3.
• Demonstrable ability to produce high-quality engineering solutions free of technical debt, with a passion for maintaining high standards.
• An excellent team player, capable of working collaboratively, communicating clearly, and providing/receiving feedback.
• Ability to confidently write elegant, consistent, and maintainable source code with minimal supervision.
• A working understanding of experimentation methodologies, such as the statistical evaluation of A/B tests.
• A caring attitude towards the personal and professional development of the wider team, nurturing a collaborative and dynamic culture.

At JET, this is on the menu

Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.

Fun, fast-paced and supportive, the JET culture is about movement, growth, and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.

Inclusion, Diversity & Belonging

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

What else is cooking?

Want to know more about our JETers, culture or company? Have a look at our careers site where you can find people stories, blogs, podcasts and more JET morsels.

Are you ready to join the team? Apply now!

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