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 employer: hackajob
At Sainsbury’s Tech, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive culture, where innovation thrives. As a Senior Data Engineer in our BI Hub, you will enjoy flexible working arrangements, generous holiday options, and a commitment to your professional growth through mentorship and continuous learning opportunities. Our comprehensive benefits package, including private healthcare and a strong focus on work-life balance, makes Sainsbury’s Tech a rewarding place to build your career while contributing to the success of the nation’s leading retailer.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer BI Hub
✨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 brushing up on your technical knowledge and soft skills. Practice common questions and scenarios related to data engineering 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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Engineer. Highlight your experience with data pipelines, cloud solutions, and any relevant programming languages. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data engineering 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 that demonstrate your skills in building data pipelines or using cloud platforms, make sure to include them. We love seeing real-world applications of your expertise!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you into our system quickly. Plus, it shows you’re keen on joining our team!
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
Be prepared to discuss complex problems you've solved in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you approached challenges in building data pipelines or implementing cloud solutions.
✨Emphasise Collaboration
Since this role involves working across teams, share examples of how you’ve successfully collaborated with others, especially in distributed or offshore settings. Talk about your experience mentoring engineers and how you foster a customer-centric approach in your projects.
✨Stay Curious and Open to Learning
Demonstrate your passion for continuous learning by discussing any recent technologies or methodologies you’ve explored. Mention any relevant courses or certifications you’ve completed, and express your enthusiasm for adopting new engineering approaches that can benefit the team.
