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- Tasks: Join a team to create a cohesive data system and analyse data discrepancies.
- Company: Leading advertising technology firm in Belfast with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact by developing robust data solutions in a collaborative environment.
- Qualifications: Proficiency in Go and Python, plus strong teamwork skills.
- Other info: Exciting opportunity for career advancement in a dynamic tech landscape.
The predicted salary is between 30000 - 42000 £ per year.
A leading advertising technology firm is seeking an Engineer I in Belfast, Northern Ireland, to join an engineering team responsible for creating a cohesive data system. The successful candidate will analyze existing data discrepancies, perform code reviews, and develop end-to-end tests.
A solid understanding of programming languages like Go and Python, along with collaborative skills, is crucial. This role supports a hybrid work model that enhances work-life integration.
Data Platform Engineer I (AWS, Go/Python) in Belfast employer: Magnite, Inc.
Contact Detail:
Magnite, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer I (AWS, Go/Python) in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a GitHub repo with projects that highlight your Go and Python expertise. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common coding challenges and be ready to discuss how you've tackled data discrepancies in the past. Confidence and clarity are key!
✨Tip Number 4
Don’t forget to 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 take that extra step!
We think you need these skills to ace Data Platform Engineer I (AWS, Go/Python) in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Go and Python, as well as any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your coding prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Platform Engineer I position and how your background makes you a great fit for our team. Let your personality come through!
Showcase Your Collaborative Spirit: Since this role involves working closely with others, highlight any teamwork experiences in your application. We love candidates who can communicate effectively and contribute to a positive team environment.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Magnite, Inc.
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Go and Python. Be ready to discuss your experience with these languages, including any projects you've worked on. It’s a great way to show your technical skills and how they align with the role.
✨Understand Data Systems
Familiarise yourself with data discrepancies and how they can impact a cohesive data system. Prepare examples from your past experiences where you’ve identified and resolved similar issues. This will demonstrate your analytical skills and problem-solving abilities.
✨Show Your Collaborative Spirit
Since this role requires strong collaborative skills, think of instances where you’ve successfully worked in a team. Be ready to share how you contributed to group projects and how you handle feedback during code reviews.
✨Prepare for Hybrid Work Questions
As the role supports a hybrid work model, be prepared to discuss how you manage your time and productivity in both remote and in-office settings. Highlight any strategies you use to maintain work-life integration, as this shows you’re a good fit for their culture.