At a Glance
- Tasks: Design and deliver scalable data solutions for financial institutions using Databricks and AWS.
- Company: Forsyth Barnes, a leader in tech recruitment with a focus on innovation.
- Benefits: Competitive contract, flexible onsite work, and opportunities to mentor others.
- Other info: Minimum 6-month contract with potential for career growth.
- Why this job: Lead impactful projects in a dynamic environment while shaping the future of data engineering.
- Qualifications: Strong experience in Databricks, PySpark, and cloud data architecture.
The predicted salary is between 80000 - 100000 € per year.
Forsyth Barnes is searching for a Lead Data Engineer in London to design and deliver data solutions for financial institutions. You will lead the end-to-end development of scalable data pipelines using Databricks and AWS technologies.
The role requires strong experience in Databricks, PySpark, and knowledge of cloud data architecture. A hands-on technical leader is sought who excels in mentoring others and balancing technical excellence with delivery timelines.
The position involves working onsite part-time and offers a minimum 6-month contract.
Lead Data Engineer: Databricks Lakehouse Architect (London) employer: Forsyth Barnes
Forsyth Barnes is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong emphasis on employee growth, you will have the opportunity to lead cutting-edge projects while mentoring others in a supportive environment. The company values work-life balance, providing flexible onsite arrangements and a commitment to your professional development, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer: Databricks Lakehouse Architect (London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks and AWS. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipeline projects using Databricks and PySpark. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've mentored others and delivered projects on time. We want to see your passion for data engineering shine through!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Data Engineer: Databricks Lakehouse Architect (London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks, PySpark, and cloud data architecture. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Lead Data Engineer role. Share your passion for data solutions and how you’ve successfully led teams in the past.
Showcase Your Leadership Skills:Since we’re looking for a hands-on technical leader, make sure to highlight your mentoring experience. Talk about how you’ve guided others in their careers and balanced technical excellence with project timelines.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Forsyth Barnes
✨Know Your Tech Inside Out
Make sure you’re well-versed in Databricks, PySpark, and AWS technologies. Brush up on your knowledge of cloud data architecture, as you’ll likely be asked to discuss how you’ve implemented these tools in past projects.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you’ll need to demonstrate your ability to mentor others and lead teams. Prepare examples of how you’ve successfully guided team members or managed projects, highlighting your balance between technical excellence and meeting deadlines.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you’ve faced in developing scalable data pipelines and how you overcame them. This will show your practical experience and critical thinking.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current data projects or the team dynamics. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
