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For Companies At a Glance
- Tasks: Lead the design and optimisation of data pipelines for efficient data flows.
- Company: Join a forward-thinking company that values innovation and teamwork.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by championing data engineering across exciting projects.
- Qualifications: Experience in data engineering and strong leadership skills.
- Other info: Dynamic work environment with excellent career advancement potential.
About The Role
Job level: 10
We are looking for a Lead Data Engineer to join our Data Engineering and Analytics practice. In this role, you will:
- Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where possible.
- Coordinate teams and set best practices and standards when it comes to data engineering principles.
- Champion data engineering across projects and clients.
Responsibilities
- Lead by example, holding responsibilities for team culture, and how projects deliver the most impact and value to our clients.
- Be accountable for the strategic direction, delivery and growth of...
Lead Data Engineer employer: TPXImpact Holdings Plc
Contact Detail:
TPXImpact Holdings Plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss how you've led teams and optimised data flows in past roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about data engineering and want to make an impact with us.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Data Engineer role. Highlight your experience in designing and optimising data pipelines, as well as any leadership roles you've held.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering. Share specific examples of how you've led teams or projects, and how you can bring value to our clients at StudySmarter.
Showcase Your Technical Skills: Don’t forget to include relevant technical skills in your application. Mention any tools or technologies you’ve used for data management and analytics, as this will help us see your fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the Lead Data Engineer position!
How to prepare for a job interview at TPXImpact Holdings Plc
✨Know Your Data Engineering Principles
Make sure you brush up on key data engineering principles before the interview. Be ready to discuss your experience with designing and optimising data pipelines, as well as any best practices you've implemented in past projects.
✨Showcase Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your leadership abilities. Prepare examples of how you've coordinated teams, set standards, and fostered a positive team culture in previous roles. This will show that you can lead by example.
✨Be Ready to Discuss Impact
Think about how your work has delivered value to clients in the past. Be prepared to share specific examples of projects where your contributions made a significant impact, and how you measured that success.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data engineering practices and future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your values and career goals.
