Senior Manager, Data Engineering - CS and Fraud prevention

Closing Date: 29/08/25

Location: London or Amsterdam Hybrid - 3 days a week from your local office & 2 days working from home

Ready for a challenge?

Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

About this role

JET customer services and fraud prevention is at the forefront of innovating how we interact with our customers and partners. As part of our 2026 strategy, we have strong ambitions to deliver personalized support for both our customers and partners as well as tackling and reducing fraudulent behaviour. We are accelerating our investments in agentic AI and rethinking our data engineering strategy to support our 2026 goals.. 

In addition to managing a data engineering team (c.6-c.8), you will also manage a small team of data scientists (1-2) to manage our initiatives in data science - exploring drivers of compensation, reorder rates, customer segmentation and partner segmentation.

These are some of the key components to the position:

• Lead, drive, and support the delivery of Global initiatives within customer services organization with a focus on automation, self-serve, fraud prevention, Agentic AI and enabling data driven decision making

• Provide strategic direction and technical oversight to the Data Engineering team

• Mentor and develop team members, fostering a culture of continuous improvement and innovation

• Establish and maintain cross-functional collaboration between different teams

• Act as the main point of contact for Data Engineering-related matters

• Design, review, and evolve processes for data ingestion, transformation, and delivery with a focus on automation and efficiency across batch and streaming systems

• Oversee the technical aspects of data projects, ensuring high standards of quality, performance, and security

• Manage project timelines and resources effectively.Ensure understanding of local business needs and priorities for systems 

• Stay up-to-date with industry trends and emerging technologies. Evaluate implementation / integration of emerging technologies such as LLMs

What will you bring to the team?

• Experience in Data Engineering, with demonstrable experience leading and managing Data Engineering teams. Proven experience as a data engineer, software engineer, or data scientist, of which includes experience working as an engineering manager.

• Advanced skills in SQL and experience with relational databases; proficiency in data transformation tools like dbt is highly desirable

• Strong proficiency in Python or similar programming languages. Experience leading data science projects and using DS techniques to drive business insight

• Strong experience designing and scaling data pipelines and ETL/ELT workflows using tools like Airflow, Databricks, and AWS.

• Excellent interpersonal and communication skills, capable of working effectively in a dynamic team environment and interacting with various stakeholders

• Proven ability to lead complex projects, manage resources effectively, and deliver high-quality results on-time in a dynamic high-pace environment

• Strong analytical and problem-solving skills, with a keen attention to detail

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