At a Glance
- Tasks: Lead projects and deliver high-performing data solutions while mentoring others.
- Company: Join a fast-growing, product-led tech company that values data-driven decision making.
- Benefits: Enjoy flexible working options and a competitive salary of £85K - £95K.
- Other info: This role offers the chance to shape the data platform and collaborate across teams.
- Why this job: Gain technical ownership and make a real impact on product quality and customer outcomes.
- Qualifications: Strong Python and SQL skills, with experience in GCP and dbt required.
The predicted salary is between 68000 - 76000 € per year.
Salary: £85K - £95K
Location: London - Flexible working
Data Idols are working with a fast-growing, product-led tech company to hire a Staff Data Engineer and help shape the data platform. They are looking for this person to provide technical leadership and lead projects end to end.
The Opportunity
Whilst acting as a mentor, this person will be hands on delivering high performing solutions. This is an opportunity to have real technical ownership over the systems and models that power decision making across the entire organisation. In this role, you'll drive the design of robust data pipelines, evolve our warehouse strategy, and align cross-functional teams around shared, reusable models. You'll be part of a company that takes data seriously, where your work has direct impact on product quality, decision making, and customer outcomes.
Skills and Experience
- Strong Python
- SQL
- Experience working with GCP
- dbt
If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Staff Data Engineer employer: Data Idols
At Data Idols, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture in the heart of London. With flexible working arrangements, competitive salaries, and a strong emphasis on employee growth, we empower our Staff Data Engineers to take ownership of their projects while mentoring others. Join us to make a meaningful impact on our data platform and drive the future of decision-making within our organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering, especially around Python and SQL. Being able to discuss recent advancements or tools you've used can really impress during interviews.
✨Tip Number 2
Showcase your experience with GCP and dbt by preparing specific examples of projects where you’ve successfully implemented these technologies. This will demonstrate your hands-on expertise and technical leadership.
✨Tip Number 3
Network with current employees or industry professionals who work in similar roles. They can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 4
Prepare to discuss how you would approach mentoring others in a technical environment. Highlighting your leadership skills and ability to guide cross-functional teams will align well with the role's requirements.
We think you need these skills to ace Staff Data Engineer
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities of a Staff Data Engineer. Familiarise yourself with the skills required, such as Python, SQL, and GCP, to tailor your application accordingly.
Tailor Your CV:Highlight your relevant experience in data engineering, particularly any projects where you've provided technical leadership or worked on data pipelines. Use specific examples that demonstrate your expertise in Python, SQL, and GCP.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for data and your ability to mentor others. Explain how your previous experiences align with the company's goals and how you can contribute to their data platform.
Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial for a role in data engineering.
How to prepare for a job interview at Data Idols
✨Showcase Your Technical Skills
As a Staff Data Engineer, you'll need to demonstrate your expertise in Python and SQL. Be prepared to discuss specific projects where you've used these skills, and consider bringing examples of your work or code snippets to illustrate your capabilities.
✨Understand the Company’s Data Strategy
Research the company's approach to data management and their current data platform. Familiarise yourself with their use of GCP and dbt, as this will show your genuine interest in the role and help you align your answers with their needs.
✨Prepare for Leadership Questions
Since this role involves providing technical leadership and mentoring, expect questions about your experience leading projects and teams. Think of examples where you've successfully guided others or made impactful decisions that improved project outcomes.
✨Emphasise Collaboration Skills
The role requires aligning cross-functional teams around shared models. Be ready to discuss how you've worked with different departments in the past, highlighting your ability to communicate complex data concepts to non-technical stakeholders.
