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For Companies At a Glance
- Tasks: Lead the data engineering team and build a robust data function.
- Company: Join a disruptive tech start-up focused on accessible data solutions.
- Benefits: Enjoy flexible working and a competitive salary of £130K – £150K.
- Why this job: Be part of an exciting journey with growth potential and future CTO opportunities.
- Qualifications: Strong skills in SQL and Python, plus great communication and business understanding.
- Other info: Ideal for those seeking a challenge in a dynamic start-up environment.
The predicted salary is between 104000 - 126000 £ per year.
Salary: £130K – £150K
Location: London – Flexible working
Data Idols are working with a disruptor in the tech industry who are looking for a Founding Lead Data Engineer to join the team. They are on an exciting journey to centralise the built industry with widely accessible data access.
The Opportunity
They are seeking a Founding Lead Data Engineer to grow and build the data function. This is a great opportunity to join an exciting early stage start-up who are raising funding and have huge plans. As a Founding Lead Data Engineer, you will be very strong technically and hands on but will also have very good business understanding and have the desire to grow with the team and own the data function. Longer term, this role will grow into the CTO.
Skills and Experience
- Very strong in SQL and Python
- Great communication skills
- Strong business understanding
- Experience working in a start-up
If you are looking for a new challenge, then please submit your CV for initial screening and more details.
VP of Data Engineering employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP of Data Engineering
✨Tip Number 1
Network with professionals in the tech industry, especially those who have experience in data engineering roles. Attend meetups or webinars to connect with potential colleagues and learn about the latest trends in data management.
✨Tip Number 2
Showcase your technical skills by contributing to open-source projects or creating your own data-related projects. This not only demonstrates your expertise in SQL and Python but also highlights your hands-on approach, which is crucial for a founding role.
✨Tip Number 3
Prepare to discuss your understanding of business operations and how data can drive strategic decisions. Being able to articulate this will set you apart as someone who can bridge the gap between technical and business needs.
✨Tip Number 4
Research the company thoroughly, including their mission, values, and any recent news. Tailoring your conversations to align with their goals will show your genuine interest and help you stand out during interviews.
We think you need these skills to ace VP of Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in SQL and Python, as well as any relevant start-up experience. Emphasise your technical skills alongside your business understanding to align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your desire to grow within the company. Mention specific projects or experiences that demonstrate your ability to lead and innovate in a start-up environment.
Highlight Communication Skills: Since strong communication skills are essential for this role, include examples in your application that illustrate how you've effectively communicated complex data concepts to non-technical stakeholders.
Showcase Your Vision: In your application, express your vision for the data function and how you plan to contribute to the company's growth. This will show your potential employer that you're not just looking for a job, but are genuinely interested in shaping the future of their data strategy.
How to prepare for a job interview at Data Science Festival
✨Showcase Your Technical Skills
As a VP of Data Engineering, you'll need to demonstrate your expertise in SQL and Python. Be prepared to discuss specific projects where you've successfully implemented these technologies, and consider bringing examples of your work to the interview.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to convey your ideas to non-technical stakeholders. This will show that you can bridge the gap between tech and business.
✨Understand the Business Landscape
Since the role requires a good business understanding, research the company and its industry thoroughly. Be ready to discuss how data engineering can drive business value and support the company's goals, especially in a start-up environment.
✨Demonstrate Leadership Potential
This position is not just about technical skills; it's also about growing into a leadership role. Share your vision for building a data function and how you plan to lead a team. Highlight any previous experience in mentoring or leading projects.
