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For Companies At a Glance
- Tasks: Join as a Staff Data Engineer, building and maintaining data pipelines.
- Company: Work with one of the UK's top retail brands during an exciting transformation.
- Benefits: Enjoy a competitive salary of £85,000 - £95,000 and opportunities for mentorship.
- Why this job: Be part of a data-driven culture, driving insights and supporting junior team members.
- Qualifications: Experience in Python, Azure, and Spark is essential.
- Other info: This is a full-time, mid-senior level position in Information Technology.
Staff Data Engineer
Ensure all your application information is up to date and in order before applying for this opportunity.
Salary: £85,000 – £95,000
Location: London, hybrid
Data Idols are working with one of the best-known retail brands in the UK that are investing heavily in its data platform. They are looking for a Staff Data Engineer to play a key role in scaling production data systems and raising engineering standards across the wider data function.
This role sits at the centre of a major data transformation and offers the chance to work on high-impact data platforms used across the business.
The Opportunity
As a Staff Data Engineer, you\’ll take ownership of complex, production-grade data pipelines and act as a technical leader within the data engineering team.
You\’ll work on cloud-native solutions built on Azure and Databricks, making key decisions around data processing, modelling, and performance. Alongside hands-on delivery, you\’ll help set best practices, support other engineers, and influence how data engineering is done across the organisation. xiskglj
Skills & Experience
Strong hands-on experience with Azure data platforms
Advanced SQL skills
Commercial experience using Databricks and PySpark
Proven background building and maintaining scalable data pipelinesIf you\’re looking for a role where you can combine technical depth, ownership, and influence, please submit your CV for initial screening and further details.
Staff Data Engineer
Contact Detail:
Data Idols Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Azure, and Spark. Being able to discuss your hands-on experience with these tools during an interview will demonstrate your suitability for the role.
✨Tip Number 2
Showcase your ability to work collaboratively by preparing examples of past projects where you successfully collaborated with data teams. This will highlight your teamwork skills, which are crucial for this position.
✨Tip Number 3
Prepare to discuss how you've mentored junior team members in previous roles. This will illustrate your leadership qualities and your commitment to fostering a positive team environment.
✨Tip Number 4
Research the company’s current data initiatives and be ready to share your insights on how you can contribute to their data transformation goals. This shows your genuine interest in the role and the company.
We think you need these skills to ace Staff Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, data warehousing, and any relevant projects. Use specific examples that demonstrate your skills in Python, Azure, and Spark.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are the perfect fit for the Staff Data Engineer role. Mention your experience in mentoring junior team members and how you can contribute to the company's data-driven decision-making.
Showcase Relevant Projects: If you have worked on specific projects involving data transformation or building data pipelines, include these in your application. Detail your role and the impact of your work on the overall project.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data engineering role.
How to prepare for a job interview at Data Idols
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, Azure, and Spark during the interview. Be prepared to discuss specific projects where you built or maintained data pipelines, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Data Needs
Research the retail brand and understand their data transformation goals. Being able to articulate how your skills can help them become more data-driven will show that you are genuinely interested in the role and the company.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss scenarios where you had to troubleshoot data pipeline issues or mentor junior team members, showcasing your leadership and technical skills.
✨Ask Insightful Questions
At the end of the interview, ask questions that reflect your understanding of the data function within the company. Inquire about the current challenges they face with data pipelines or how they envision the role evolving, which shows your forward-thinking approach.
