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- Tasks: Lead the technical direction and build modern data infrastructure for a fast-scaling tech business.
- Company: Join a dynamic UK tech company that values innovation and growth.
- Benefits: Enjoy a fully remote role with competitive salary and opportunities for leadership.
- Why this job: Make a significant impact on data strategy while mentoring a growing team.
- Qualifications: 7+ years of experience in data engineering, proficient in Python, SQL, and cloud services.
- Other info: This role offers excellent career advancement in a supportive environment.
The predicted salary is between 48000 - 72000 £ per year.
A fast-scaling tech business in the UK is looking for a Lead Data Engineer to shape their data engineering function. In this fully remote role, you’ll lead the technical direction, build modern data infrastructure, and mentor a growing team of engineers.
The ideal candidate will have over 7 years of experience, deep knowledge in Python and SQL, and a background in cloud services like AWS. This opportunity promises a significant impact on data strategy and a pathway to broader leadership.
Remote Lead Data Engineer — Scale & Architect Data employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Lead Data Engineer — Scale & Architect Data
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in data engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud services like AWS. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges and solutions. Be ready to discuss how you've shaped data strategies in the past and how you can lead a team effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Remote Lead Data Engineer — Scale & Architect Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your expertise in Python, SQL, and cloud services like AWS to show us you’re the perfect fit for the Lead Data Engineer role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering and how your experience aligns with our needs. Share specific examples of how you've shaped data strategies or mentored teams in the past.
Showcase Your Leadership Skills: Since this role involves leading a team, don’t forget to highlight your leadership experience. Talk about how you've guided others, made technical decisions, and contributed to a positive team culture.
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 Harnham
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team, prepare examples of how you've led teams in the past. Think about times when you guided junior engineers or influenced technical decisions, and be ready to share those stories.
✨Understand Cloud Services
Familiarise yourself with AWS and any other cloud services relevant to the role. Be prepared to discuss how you've implemented cloud solutions in previous roles and how they contributed to the overall data strategy.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future plans. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
