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- Tasks: Lead a new Data Engineering team and design scalable data architectures.
- Company: Join a tech-driven company focused on innovative data solutions.
- Benefits: Enjoy a full-time role with opportunities for growth and leadership.
- Why this job: Shape the future of data architecture and work with cutting-edge technology.
- Qualifications: 5+ years in Data Engineering, expertise in Python and SQL required.
- Other info: Be the first hire in a new team and make a significant impact.
The predicted salary is between 48000 - 84000 £ per year.
Lead Data Engineer | Build and Lead a New Data Team
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
As the first Data Engineering hire, you will:
- 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.
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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Technology, Information and Media
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Data Team Lead employer: OpenSource
Contact Detail:
OpenSource Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Team Lead
✨Tip Number 1
Showcase your leadership skills by sharing specific examples of how you've successfully guided teams in the past. Highlight any projects where you took the lead and drove results, as this will resonate with our need for a strong team leader.
✨Tip Number 2
Familiarize yourself with the latest data engineering tools and technologies. Being able to discuss your experience with cutting-edge tech during the interview will demonstrate your commitment to innovation and your readiness to shape our data architecture.
✨Tip Number 3
Prepare to discuss your approach to building scalable data pipelines. We want to hear about your problem-solving strategies and how you've tackled challenges in handling large datasets in previous roles.
✨Tip Number 4
Network with current data professionals and engage in relevant online communities. This can provide insights into industry trends and may even lead to referrals, increasing your chances of landing an interview with us.
We think you need these skills to ace Data Team Lead
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 5+ years of Data Engineering experience, particularly your expertise in Python and SQL. Provide specific examples of projects where you designed scalable data architectures or built robust ETL pipelines.
Showcase Leadership Skills: Since the role requires proven leadership experience, include details about your previous roles where you guided teams or projects. Mention any successful outcomes that resulted from your leadership.
Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements of the job. Use keywords from the job description, such as 'data architecture', 'data pipelines', and 'problem-solving skills' to demonstrate your fit for the role.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the application process. Prepare to explain your approach to building data solutions and optimizing data infrastructure, as well as any challenges you've faced and how you overcame them.
How to prepare for a job interview at OpenSource
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll be expected to guide a team. Be prepared to discuss your previous leadership experiences, how you motivated your team, and the strategies you used to overcome challenges.
✨Demonstrate Technical Expertise
Make sure to highlight your proficiency in Python and SQL. Prepare to discuss specific projects where you've built ETL pipelines or scalable data solutions, and be ready to dive into technical details.
✨Discuss Data Architecture Design
Since you'll be shaping data architecture from scratch, be ready to talk about your approach to designing scalable data architectures. Share examples of how you've optimized data storage and access in past roles.
✨Prepare for Problem-Solving Scenarios
Expect questions that assess your problem-solving skills. Think of examples where you've tackled complex data issues or improved data infrastructure reliability, and explain your thought process during those situations.
