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 opportunity for career growth in a thriving industry.
- Why this job: Join a dynamic team and work on impactful machine learning projects.
- Qualifications: Strong Python and SQL skills, with AWS experience including Redshift and S3.
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 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
✨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 don’t hold back!
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your AWS experience. We want to see how you think and solve problems, so practice coding challenges if you can.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who are eager to join our team and make an impact.
We think you need these skills to ace Hybrid Data Engineer for Real-Time ML Pipelines
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, especially in data ingestion and machine learning.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to the job description. Mention specific projects or experiences that relate to designing and maintaining data pipelines, as this will catch our eye.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your achievements stand out!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
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, be prepared to talk about your work with Redshift and S3. Think of examples where you've optimised data storage or improved pipeline efficiency using these tools. This will demonstrate your capability to handle the technical demands of the job.
✨Understand the Business Context
Research Harnham and their focus on adtech and fraud prevention. Understanding how your role as a Data Engineer fits into their business model will help you articulate how you can contribute to their goals. It shows you're not just a techie but also care about the bigger picture.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. Inquire about their current challenges with data pipelines or how they measure success in their machine learning initiatives. This not only shows your interest but also gives you insight into whether this is the right fit for you.
