Senior Data Engineer
Full Time
full time
29 Sep 2025
Verified by Turrior
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
85 / 100
Offer value
High offer value due to the role's direct impact on data infrastructure and operational efficiency, complemented by robust company benefits.
- Competitive salary and extensive benefits.
- Impactful role in shaping data strategy.
- Opportunity to lead and mentor others in the field.
Pros
- Strong growth potential as part of a data-driven initiative.
- Opportunities for mentorship and developing team capabilities.
- Comprehensive benefits that support work-life balance.
Cons
- Requires extensive experience and skills in multiple technologies.
- Working in a high-paced environment may be stressful.
- Pressure to continuously innovate could lead to burnout.
Who it's for
Senior / Lead • Hybrid / office with potential travel
Good fit
- Senior data engineers looking to lead projects.
- Individuals with deep technical skills in data management.
- Professionals eager to work with cutting-edge technology.
Not recommended for
- Entry-level candidates or those lacking relevant experience.
- People who prefer traditional work environments.
- Candidates uninterested in team mentorship roles.
Motivation fit
Desire to work in a transformative tech environment.Interest in advancing data engineering capabilities.Willingness to mentor and develop a data-driven culture.
Key skills
SQL and relational databases expertiseData pipeline design and managementAutomation and AI technologiesStrong interpersonal and mentoring skills
Score: 85/100 AI verified analysis
About the job
Requirements
- Prior experience as a Data Engineer or Software Engineer working with multiple technical work streams ,
- Advanced skills in SQL and experience with relational databases; proficiency in data transformation tools like DBT is highly desirable ,
- Experience leading data science projects and using DS techniques to drive business insight ,
- 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 ,
- Ability to lead complex projects, manage resources effectively, and deliver high-quality results on-time in a dynamic high-pace environment ,
- Analytical and problem-solving skills, with a keen attention to detail
What the job involves
- Just Eat Takeaway Customer Service (CS) 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 personalised 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 ,
- Data Engineering is going to enable a strong transformation of how the CS and Fraud Prevention function operates and is central to delivering a positive customer and partner experience ,
- As a Data Engineer at JET, you will be at the forefront of driving our data-driven initiatives for the organisation ,
- In this role, you will work hands-on with our existing data pipelines, design new pipelines as we onboard new technology and ensure successful delivery of Data & Analytics solutions ,
- You will be instrumental in advancing our data infrastructure, optimising operational efficiency, and significantly contributing to our e-commerce success ,
- You will play a pivotal role in enhancing our data engineering and analytics capabilities and directly impacting decision-making ,
- Reporting to: Manager, Data Engineering (Customer service & fraud prevention) ,
- Design and delivery of key data pipelines within customer services organisation with a focus on automation, self-serve, fraud prevention, Agentic AI and enabling data driven decision making ,
- Mentor and develop team members, fostering a culture of continuous improvement and innovation ,
- Establish and maintain strong relationships with various stakeholders (internal and external). Act as a key POC 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
Benefits
- Leisure and Lifestyle: These benefits are designed to help you make the most of your time and enjoy everyday life: Generous annual leave entitlement | An additional day off to celebrate your birthday - take it whenever suits you | Flexibility to buy or sell holiday days (within an annual limit) | Monthly meal allowance to enjoy food at work or at home | Access to discounts, cashback offers and savings via an employee portal ,
- Protecting the Future: These benefits are designed to give you and your loved ones peace of mind: Life insurance cover from your first day of employment | Income protection support if you're unable to work due to long-term illness or injury | Pension scheme with company contributions and the flexibility to increase your own contributions ,
- Health and Wellbeing: Helping you stay physically and mentally healthy: Private medical insurance options, depending on your role and location | Enhanced family leave for maternity, adoption, paternity, and shared parental leave | Annual eye care benefits, including eye tests and financial support for glasses | Confidential Employee Assistance Programme (EAP) | Office perks including healthy snacks and drinks | Mental health support, including on-site coaching and access to wellness platforms
