At a Glance
- Tasks: Lead the design and build of data pipelines and cloud solutions.
- Company: Join Sainsbury’s Tech, powering the nation’s leading retailer.
- Benefits: Flexible working, generous holiday, health plans, and performance bonuses.
- Other info: Inclusive culture with excellent career growth and mentoring opportunities.
- Why this job: Make a real impact with cutting-edge technology in a collaborative environment.
- Qualifications: Strong programming skills and experience with cloud platforms required.
The predicted salary is between 60000 - 75000 € per year.
Join Sainsbury’s Tech where you will build and run technology that powers the nation’s leading retailer.
In a nutshell, we build real‑time and batch data pipelines, leverage cloud solutions, and design internal services to support analytics across the business.
What I Am Accountable For:
- Lead design and build of real‑time and batch data pipelines (Spark, Kafka, Snowflake, event‑driven, serverless)
- Lead implementation of cloud solutions (AWS, Azure, GCP)
- Design and support internal services and engineering frameworks
- Provide technical leadership, guidance and support to engineers
- Champion best practice in CI/CD, monitoring, performance and alerting
- Collaborate across squads and lead cross‑team interactions
- Embed security by design in all engineering outputs
- Drive a customer‑centric approach to engineering and delivery
- Champion adoption of new technologies and engineering approaches
- Solve complex problems with both big‑picture and detailed thinking
- Mentor engineers and contribute to the engineering community
Essential Criteria:
- Strong programming capability in at least one core language (e.g. Python, Scala, Kotlin, JavaScript, C#)
- Deep experience building production‑grade data pipelines (batch and/or streaming)
- Proven expertise in modern cloud platforms (AWS, Azure or GCP)
- Strong understanding of software engineering principles and system design
- Hands‑on experience with CI/CD, infrastructure as code and DevSecOps practices
- Experience designing and implementing scalable, reliable data systems
- Ability to own and deliver across the full software development lifecycle
- Proven experience influencing, mentoring or guiding other engineers
- Strong collaboration skills across teams, including distributed/offshore teams
- Demonstrated use of agile or lean delivery methodologies
- Evidence of continuous learning and adoption of new technologies
What I Need To Show:
- Self‑driven with a focus on improving team and engineering outcomes
- Advocate of agile and lean delivery approaches
- Passion for delivering customer‑focused solutions and owning outcomes
- Curiosity and ongoing development in emerging technologies
- Empathy and support for colleagues within the squad
- Ability to motivate and engage engineers across locations
Benefits:
We offer an inclusive culture, flexible working, generous holiday with the option to purchase additional days, pension scheme, performance bonus, discount programmes, cycle‑to‑work and car loans, season‑ticket loans, health cash plans, access to private healthcare, and a comprehensive Employee Assistance Programme. Maternity, adoption and paternity leave policies reflect our commitment to work‑life balance.
Senior Data Engineer BI Hub in London employer: hackajob
At Sainsbury’s Tech, we pride ourselves on being an excellent employer that fosters a collaborative and inclusive work culture. As a Senior Data Engineer, you will have the opportunity to lead innovative projects while benefiting from flexible working arrangements, generous holiday options, and a strong commitment to employee growth through mentorship and continuous learning. Our comprehensive benefits package, including private healthcare and performance bonuses, reflects our dedication to supporting your well-being and work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer BI Hub in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your data pipelines and cloud solutions. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Engineer BI Hub in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data pipelines, cloud solutions, and any relevant programming languages. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our team. Don’t forget to mention your experience with CI/CD and mentoring other engineers.
Showcase Your Projects:If you've worked on any cool projects related to data engineering, make sure to include them in your application. We love seeing real examples of your work, especially if they demonstrate your problem-solving skills and use of modern technologies.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at hackajob
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Spark, Kafka, and cloud platforms such as AWS or Azure. Brush up on your programming skills in languages like Python or Scala, as you might be asked to solve coding problems during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've solved complex data engineering problems. Think about how you approached these challenges, the technologies you used, and the impact of your solutions. This will demonstrate your big-picture thinking and attention to detail.
✨Emphasise Collaboration
Since the role involves working across teams, be ready to share experiences where you’ve successfully collaborated with others, especially in distributed or offshore settings. Highlight your ability to mentor and guide fellow engineers, as this is a key aspect of the position.
✨Demonstrate Continuous Learning
Show your passion for emerging technologies and continuous improvement. Discuss any recent courses, certifications, or projects that reflect your commitment to staying updated in the field. This will resonate well with their focus on innovation and customer-centric solutions.
