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For Companies At a Glance
- Tasks: Lead a new Data Engineering team and design scalable data architectures.
- Company: Join a forward-thinking company focused on leveraging data for business success.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of data engineering while working with cutting-edge technology.
- Qualifications: 5+ years in Data Engineering with strong Python and SQL skills required.
- Other info: Be the first hire in a new team, making a significant impact from day one.
The predicted salary is between 43200 - 72000 £ per year.
I am looking for a Lead Data Engineer to establish and lead a new Data Engineering team. This is a unique opportunity to shape data architecture from the ground up, working with cutting-edge technology to drive business performance.
The Role
- Design and implement scalable data architectures for efficient storage and access.
- Build and maintain data pipelines handling terabyte-scale datasets.
- Work closely with data scientists, analysts, and stakeholders to optimize data solutions.
- Own the reliability, performance, and scalability of data infrastructure.
- Recruit and lead a growing team of data engineers.
Tech Stack
- Python (3.10+), Pandas, NumPy
- PostgreSQL (TimescaleDB), SQL optimization
- RabbitMQ, ZeroMQ, Linux servers
- Prometheus, Grafana, Zabbix
Requirements
- 5+ years of Data Engineering experience with expertise in Python and SQL.
- Proven leadership experience guiding teams and projects.
- Strong background in building robust ETL pipelines and scalable data solutions.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Data Engineering Lead employer: OpenSource
Contact Detail:
OpenSource Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, PostgreSQL, and RabbitMQ. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during discussions.
✨Tip Number 2
Prepare to discuss your leadership experience in detail. Think of examples where you've successfully guided teams or projects, especially in data engineering contexts. This will demonstrate your capability to lead the new team effectively.
✨Tip Number 3
Showcase your problem-solving skills by preparing case studies or scenarios where you've tackled complex data challenges. Being able to articulate your thought process and solutions will impress the hiring team.
✨Tip Number 4
Network with current or former employees of StudySmarter on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview.
We think you need these skills to ace Data Engineering Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Engineering, particularly with Python and SQL. Emphasise any leadership roles you've held and projects where you've built ETL pipelines or scalable data solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the opportunity to shape a new team. Mention specific experiences that demonstrate your problem-solving skills and ability to work with large datasets.
Showcase Relevant Projects: If you have worked on significant projects involving data architecture or team leadership, include these in your application. Use metrics to illustrate your impact, such as improvements in data processing times or team performance.
Highlight Soft Skills: Since this role involves leading a team, be sure to mention your soft skills, such as communication, collaboration, and adaptability. Provide examples of how you've successfully led teams or projects in the past.
How to prepare for a job interview at OpenSource
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python and SQL in detail. Highlight specific projects where you've built ETL pipelines or scalable data solutions, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
Since this role involves leading a new team, share examples of your previous leadership experiences. Discuss how you've guided teams through projects, resolved conflicts, and fostered collaboration among team members.
✨Understand the Tech Stack
Familiarise yourself with the technologies mentioned in the job description, such as PostgreSQL, RabbitMQ, and Prometheus. Be ready to discuss how you've used these tools in past roles and how they can be applied to the new data architecture.
✨Prepare for Problem-Solving Scenarios
Expect to face technical problem-solving questions during the interview. Practice articulating your thought process when tackling complex data challenges, as this will demonstrate your analytical skills and ability to work under pressure.
