At a Glance
- Tasks: Design and maintain data pipelines for real-time machine learning and fraud prevention.
- Company: Fast-growing adtech scale-up in Greater London.
- Benefits: Hybrid working, 27 days annual leave, and generous wellbeing budgets.
- Other info: Exciting opportunities for growth in a collaborative environment.
- Why this job: Join a dynamic team and make an impact in the adtech industry.
- Qualifications: Strong experience in Python, SQL, and hands-on AWS skills.
The predicted salary is between 60000 - 80000 £ per year.
Harnham is seeking a Data Engineer in Greater London to join their fast-growing adtech scale-up. In this role, you'll design and maintain data ingestion pipelines to support large-scale machine learning and fraud prevention.
The ideal candidate has strong experience in Python and SQL, with hands-on AWS experience including Redshift and S3.
This position offers hybrid working, 27 days annual leave, and generous budgets for wellbeing and home office setup.
Hybrid Data Engineer for Real-Time ML Pipelines in London employer: Harnham
Harnham is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the adtech industry. With a focus on employee wellbeing, generous leave policies, and opportunities for professional growth, Harnham provides a supportive environment where you can thrive while working on cutting-edge real-time machine learning projects in the vibrant setting of Greater London.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Engineer for Real-Time ML Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the adtech space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data ingestion pipelines or any real-time ML projects you've worked on. We love seeing practical examples of your work, so make sure to highlight your Python and SQL expertise.
✨Tip Number 3
Prepare for those interviews! Brush up on your AWS knowledge, especially Redshift and S3. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your technical skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are ready to dive into the world of data engineering.
We think you need these skills to ace Hybrid Data Engineer for Real-Time ML Pipelines in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, SQL, and AWS in your application. We want to see how you've used these skills in real-world projects, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to data ingestion pipelines and machine learning, as it shows us you’re genuinely interested.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key achievements stand out.
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 any important updates from our team!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
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, especially in relation to data ingestion pipelines. This will show that you not only understand the theory but have practical experience too.
✨AWS Familiarity is Key
Since the role requires hands-on AWS experience, particularly with Redshift and S3, be prepared to talk about how you've utilised these services in past projects. Consider bringing examples of how you've optimised data storage or improved pipeline efficiency using AWS tools.
✨Understand the Business Context
Research Harnham and their focus on adtech and fraud prevention. Understanding their business model and how your role as a Data Engineer fits into their goals will help you answer questions more effectively and demonstrate your genuine interest in the company.
✨Prepare Questions to Ask
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the challenges they face with real-time ML pipelines, and how they measure success in this role. This shows you're not just interested in the job, but also in contributing to the team's success.
