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- Tasks: Join our engineering squad to work on exciting AdTech projects and improve data solutions.
- Company: Sainsbury's Tech is at the forefront of data innovation in retail, unlocking vast potential.
- Benefits: Enjoy flexible working, discounts, pensions, life cover, bonuses, and more perks.
- Why this job: Be part of a progressive team that values curiosity and challenges the status quo.
- Qualifications: Experience as a Data Engineer or similar role with skills in Python, SQL, and cloud technologies.
- Other info: Collaborate with diverse teams and contribute to impactful data products.
The predicted salary is between 36000 - 60000 £ per year.
You’ll be part of one of our Engineering squads working on Ad-tech, interpreting and following architectural and engineering principles, operating frameworks, and new and improved technology and solutions. With your technical craft, curiosity, and experimentation, you’ll use judgment to apply specific techniques to deliver focused outcomes that support our customers. We use a variety of tech here and you need to be willing to pick up new tools and techniques. We’d also like you to be yourself - analytical, curious, and unafraid to challenge the status quo. You’ll constantly strive to improve the way things are done in your team, contributing as a progressive member of the engineering community.
We are looking for an experienced Data Engineer confident in investigating, ingesting, and exploiting large datasets with core skills in Python, Pyspark, EMR, AWS, SQL, CI/CD. At Sainsburys Tech, within the Media Agency, we’re unlocking petabytes of untapped potential. We have thousands of shops and millions of customers creating billions of transactions per year. We’re on a mission to use this data better than anyone else.
What to expect as a Data Engineer:
- Work with various data squads at Sainsbury’s to ensure the right data is available for teams to build fantastic products.
- The aim of our products is to increase efficiency, speed of data ingestion into our reporting platform, data quality, and ensure data security and compliance.
- We are product-focused and are looking for engineers interested in data engineering and building brilliant data products from start to finish.
- Writing code, we love writing beautiful code.
- Big on automation including deployments and testing (CI/CD).
- Building out Monitoring and Alerting tools for live applications.
- Working as a team during collaborative design hubs.
- Sometimes exploring new data in depth.
- Participating in team discussions to solve tricky problems.
- Pair programming to diagnose elusive bugs.
- Reviewing Pull Requests to provide constructive feedback.
- Building relationships with colleagues – mentoring and sharing knowledge.
- Partnering with Data Modellers, Analytics Engineers, Data Scientists, Architects, and Product Managers to deliver data products.
We’d Love To Hear From You If:
- You’re interested in Data and have experience as a Data Engineer, Backend Software Engineer, or similar.
- You have experience building scalable, robust, and well-tested software products.
- You’re curious and proactive in learning new technologies.
- You like owning your work and seeing it through.
- You have a point of view but are open to reconsideration.
Some Of Our Tech Stack:
- Experience with these beneficial: Python, AWS / Azure / GCP, SQL, Snowflake, DBT, Terraform.
We are committed to inclusivity and support your development. We offer flexible working, benefits like discounts, pensions, life cover, bonus potential, holiday allowances, and additional perks.
Contact Detail:
Sainsbury's Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - AdTech
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, AWS, and SQL. Consider working on personal projects or contributing to open-source projects that utilise these tools to demonstrate your hands-on experience.
✨Tip Number 2
Engage with the data engineering community online. Join forums, attend webinars, or participate in local meetups to network with professionals in the field. This can help you gain insights into industry trends and potentially connect you with someone at Sainsbury's Tech.
✨Tip Number 3
Showcase your problem-solving skills by preparing for technical interviews. Practice coding challenges related to data engineering and be ready to discuss how you've tackled complex data problems in the past during your interview.
✨Tip Number 4
Highlight your collaborative skills by preparing examples of how you've worked effectively in teams. Since the role involves partnering with various stakeholders, being able to demonstrate your teamwork and communication abilities will set you apart.
We think you need these skills to ace Data Engineer - AdTech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering, particularly with Python, SQL, and cloud technologies like AWS. Use specific examples of projects where you've successfully built scalable data products.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and technology. Mention how your curiosity and proactive learning align with Sainsbury's mission to unlock data potential. Be sure to include why you want to work specifically in AdTech.
Showcase Your Technical Skills: When detailing your technical skills, be specific about your experience with tools mentioned in the job description, such as Pyspark, EMR, and CI/CD practices. Provide examples of how you've used these tools to solve problems or improve processes.
Demonstrate Team Collaboration: Highlight any experiences where you've worked collaboratively in teams, especially in design hubs or pair programming. This will show that you can contribute positively to the engineering community at Sainsbury's Tech.
How to prepare for a job interview at Sainsbury's
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Pyspark, AWS, and SQL in detail. Bring examples of projects where you've successfully implemented these technologies, as this will demonstrate your capability and confidence in handling the technical aspects of the role.
✨Demonstrate Curiosity and Problem-Solving
Sainsbury's Tech values analytical and curious individuals. During the interview, share instances where you've challenged the status quo or solved complex problems. This will highlight your proactive approach and willingness to learn new tools and techniques.
✨Emphasise Team Collaboration
Since the role involves working closely with various teams, be ready to discuss your experiences in collaborative environments. Talk about how you've contributed to team discussions, pair programming sessions, or mentoring colleagues, showcasing your ability to work well within a team.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world data engineering challenges. Prepare to discuss how you would approach specific scenarios related to data ingestion, quality assurance, and compliance, demonstrating your understanding of the responsibilities outlined in the job description.
