At a Glance
- Tasks: Design and scale data infrastructure for an innovative AI platform in property management.
- Company: Join a pioneering team transforming the £33B property management industry.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborate closely with founders in a fast-paced startup atmosphere.
- Why this job: Be at the forefront of AI technology and make a significant impact.
- Qualifications: 7+ years in data or backend engineering with strong pipeline experience.
The predicted salary is between 70000 - 90000 € per year.
Join a pioneering team transforming the property management industry with an AI platform that automates operational tasks, enhancing efficiency in a £33B market.
The Role: They are looking for a Lead Data Engineer to design and scale the data infrastructure, supporting real-time processing and machine learning workflows.
Key Responsibilities
- Architect and build scalable data pipelines and infrastructure.
- Maintain data ingestion, transformation, and storage systems.
- Develop batch and real-time data pipelines.
- Collaborate with AI and backend teams for feature support.
- Ensure data reliability, security, and governance.
Requirements
- 7+ years in data or backend engineering.
- Strong experience with data pipelines and distributed systems.
- Proficient in relational databases (PostgreSQL preferred) and NoSQL.
Nice to Have
- A high-ownership engineer who thrives in a fast-paced startup.
- Strong problem-solving and architectural thinking skills.
Why Join
- Build the foundations of a groundbreaking AI company.
- Work closely with founders and core engineering teams.
Lead Data Engineer in London employer: Harrington Starr
Join a dynamic and innovative team at the forefront of transforming the property management industry with cutting-edge AI technology. As a Lead Data Engineer, you will not only have the opportunity to shape the data infrastructure but also enjoy a collaborative work culture that fosters creativity and growth. With a focus on employee development and a commitment to pioneering solutions in a thriving market, this role offers a unique chance to make a significant impact while working alongside passionate professionals in a fast-paced startup environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your expertise in real-time processing and machine learning workflows. We want to see what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of relational databases and distributed systems. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and eager to join our pioneering team!
We think you need these skills to ace Lead Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering and showcases your skills in building scalable data pipelines. We want to see how your background aligns with the role, so don’t be shy about emphasising relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about joining our team and how your expertise can help us transform the property management industry. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex challenges in data engineering. We love engineers who can think outside the box, so share those stories that demonstrate your architectural thinking and ownership.
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 role. Plus, it shows you’re keen on joining our pioneering team!
How to prepare for a job interview at Harrington Starr
✨Know Your Data Pipelines
Make sure you can talk in-depth about your experience with data pipelines and distributed systems. Be ready to discuss specific projects where you've designed or scaled these systems, as this will show your hands-on expertise.
✨Brush Up on Databases
Since they prefer PostgreSQL, it’s a good idea to refresh your knowledge on relational databases and NoSQL. Prepare to answer questions about database design, optimisation, and how you’ve handled data reliability and security in past roles.
✨Show Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. They’ll likely want to see how you approach complex problems, so think of examples from your past where you’ve had to think architecturally to solve issues.
✨Demonstrate Ownership and Collaboration
This role requires a high-ownership mindset, so share experiences where you took initiative or led a project. Also, highlight any collaboration with AI or backend teams, as teamwork is key in this fast-paced environment.
