Senior Data Engineer — Data Platform Architect

Senior Data Engineer — Data Platform Architect

Full-Time 60000 - 80000 € / year (est.) Home office (partial)
Unity

At a Glance

  • Tasks: Lead the design and implementation of a critical data platform.
  • Company: Unity, an innovative company with a focus on data solutions.
  • Benefits: Varied benefits for employee well-being and a collaborative environment.
  • Other info: Join a skilled technical team in an innovative environment.
  • Why this job: Enjoy autonomy while working with cutting-edge technologies like Kafka and Flink.
  • Qualifications: Strong experience in software development applied to data.

The predicted salary is between 60000 - 80000 € per year.

Unity recherche un(e) Développeur(se) de données Sénior pour diriger la conception et la mise en œuvre de leur plateforme de données critique. Ce rôle offre une grande autonomie et nécessite une collaboration étroite avec une équipe technique expérimentée.

Le candidat idéal possède une solide expérience en développement logiciel appliqué aux données et maîtrise des technologies comme Kafka et Flink.

Nous offrons un environnement innovant et des bénéfices variés pour le bien-être de nos employés.

Senior Data Engineer — Data Platform Architect employer: Unity

Unity is an exceptional employer that fosters innovation and collaboration, making it an ideal place for a Senior Data Engineer to thrive. With a strong focus on employee well-being, we offer diverse benefits and ample opportunities for professional growth within a dynamic and experienced technical team. Join us in a stimulating environment where your contributions will directly impact our critical data platform.

Unity

Contact Detail:

Unity Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer — Data Platform Architect

Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you directly to hiring managers.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Kafka and Flink. This will give potential employers a taste of what you can bring to their team.

Tip Number 3

Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and how you've tackled challenges in past projects—this will help you stand out!

Tip Number 4

Don't forget to apply through our website! We love seeing candidates who take the initiative to connect with us directly. Plus, it shows you're genuinely interested in joining our innovative team.

We think you need these skills to ace Senior Data Engineer — Data Platform Architect

Data Engineering
Software Development
Kafka
Flink
Platform Design
Implementation Skills
Collaboration

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with data engineering and technologies like Kafka and Flink. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit. We love seeing passion and personality in applications.

Showcase Your Problem-Solving Skills:In your application, mention specific challenges you've faced in data engineering and how you tackled them. We appreciate candidates who can think critically and innovate solutions!

Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!

How to prepare for a job interview at Unity

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like Kafka and Flink. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of challenges you've faced in data engineering and how you overcame them. This will demonstrate your ability to think critically and adapt in a fast-paced environment.

Emphasise Collaboration

Since the role involves working closely with a technical team, be ready to talk about your experience collaborating with others. Highlight any successful projects where teamwork was key to achieving results.

Ask Insightful Questions

Prepare thoughtful questions about the company’s data platform and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.