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- Tasks: Lead a team to build scalable data pipelines and shape the Onyx platform's engineering direction.
- Company: Global biopharma company with a focus on innovation and collaboration.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a significant impact in the biopharma industry.
- Qualifications: Bachelor's degree, relevant experience, and cloud services knowledge required.
- Other info: Exciting opportunity for career advancement in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A global biopharma company is looking for a Staff Engineering & Team Lead in London. Responsible for leading a team of data engineers, this position focuses on building scalable data pipelines and influencing the engineering direction of the Onyx platform.
Candidates must have a Bachelor's degree in a related field, relevant industry experience, and familiarity with cloud services. The role offers a hybrid working model that balances office and remote work.
Staff Data Engineer & Team Lead - GenAI Pipelines in London employer: WISE Campaign
Contact Detail:
WISE Campaign Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer & Team Lead - GenAI Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data pipelines and cloud services. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. Focus on technical questions related to data engineering and leadership to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have insider tips on what the hiring team is looking for.
We think you need these skills to ace Staff Data Engineer & Team Lead - GenAI Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering and cloud services. We want to see how your skills align with the role of Staff Data Engineer & Team Lead, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading a team and building scalable data pipelines. We love seeing candidates who can connect their personal goals with our mission.
Showcase Leadership Experience: Since this role involves leading a team, make sure to highlight any previous leadership roles or experiences. We’re looking for someone who can inspire and guide others, so share examples of how you’ve done this in the past.
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 position. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at WISE Campaign
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts, especially around building scalable data pipelines. Brush up on your knowledge of cloud services, as this will likely come up during the interview. Being able to discuss specific projects where you've implemented these technologies will really impress them.
✨Show Your Leadership Skills
As a team lead, they’ll want to see how you manage and inspire a team. Prepare examples of how you've led teams in the past, tackled challenges, and influenced engineering direction. Think about how you can demonstrate your ability to mentor others and drive projects forward.
✨Understand the Company’s Vision
Research the biopharma industry and the specific goals of the company. Knowing their products, values, and recent developments will help you tailor your answers and show that you’re genuinely interested in contributing to their mission. This will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and technical expertise. Practice coding challenges or system design questions related to data pipelines. Being able to articulate your thought process clearly will demonstrate your analytical skills and technical proficiency.
