At a Glance
- Tasks: Lead the design and implementation of a critical data platform with high autonomy.
- Company: Join a forward-thinking tech company focused on innovative data solutions.
- Benefits: Enjoy comprehensive health insurance, stock ownership, and generous vacation days.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real impact by solving complex data challenges for thousands of users.
- Qualifications: Strong software engineering skills and experience with data streaming technologies.
The predicted salary is between 60000 - 80000 € per year.
The opportunity: Senior Data Engineer to lead design and implementation of our business‑critical data platform. High‑autonomy role, embedded in a team of senior software and data engineers, collaborating on the data platform problem and solution space. Translating complex, ambiguous requirements into resilient data engineering architecture designs. Effective use of data is a core focus for the broader company, and this team sits precisely in that space and delivers high‑quality solutions that solve real business problems and customer problems across thousands of Unity titles.
What you'll be doing:
- Partner with stakeholders, define the problem space, pitch technical solutions, and own them through to production.
- Identify data bottlenecks and opportunities for improvement.
- Pitch and deliver architectural improvements.
- Influence the roadmap towards technical excellence in data engineering.
What we're looking for:
- Strong software engineering fundamentals applied to data.
- Expertise working with data streaming technologies such as Kafka and Flink.
- Autonomous and effective in a team setting.
- Experience working with non‑technical stakeholders and translating their needs to technical requirements for team‑wide delivery.
Additional Information:
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position.
Benefits:
- Comprehensive health, life, and disability insurance.
- Commute subsidy.
- Employee stock ownership.
- Competitive retirement/pension plans.
- Generous vacation and personal days.
- Support for new parents through leave and family‑care programs.
- Office food snacks.
- Mental Health and Well‑being programs and support.
- Employee Resource Groups.
- Global Employee Assistance Program.
- Training and development programs.
- Volunteering and donation matching program.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation or any other protected status in accordance with applicable law.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language, as the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Senior Data Engineer employer: Unity South APAC (SEA, ANZ, IND Subcont.)
Unity is an exceptional employer for a Senior Data Engineer, offering a high-autonomy role within a collaborative team dedicated to solving real business challenges through innovative data solutions. With a strong focus on employee well-being, comprehensive benefits including health insurance, stock ownership, and generous leave policies, Unity fosters a supportive work culture that prioritises professional growth and inclusivity, making it an ideal place for those seeking meaningful and rewarding employment in the tech industry.
Contact Detail:
Unity South APAC (SEA, ANZ, IND Subcont.) Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Kafka and Flink. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Be ready to discuss how you've tackled data bottlenecks and delivered architectural improvements in past roles.
✨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 are proactive about their job search!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Your Technical Skills:When you're writing your application, make sure to highlight your strong software engineering fundamentals and experience with data streaming technologies like Kafka and Flink. We want to see how your skills can translate into the role of a Senior Data Engineer.
Be Clear and Concise:We love a good, straightforward application! Make sure you clearly outline your experience and how it relates to the job. Avoid jargon and keep it simple so we can easily see how you fit into our team.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your application to our specific needs. Mention how you can partner with stakeholders and deliver architectural improvements that align with our goals.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to showcase your application in the best light possible!
How to prepare for a job interview at Unity South APAC (SEA, ANZ, IND Subcont.)
✨Know Your Data Engineering Fundamentals
Brush up on your software engineering fundamentals, especially as they apply to data. Be ready to discuss how you've used these principles in past projects, particularly in relation to data streaming technologies like Kafka and Flink.
✨Prepare for Stakeholder Interaction
Since you'll be working with non-technical stakeholders, practice translating complex technical concepts into simple terms. Think of examples where you've successfully communicated technical solutions to non-technical audiences.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific instances where you've identified data bottlenecks or opportunities for improvement. Highlight your thought process and the architectural improvements you proposed and implemented.
✨Pitch Your Vision
During the interview, don't just answer questions—pitch your ideas! Think about what needs to be built in the data platform space and be ready to share your vision for architectural improvements that could influence the roadmap towards technical excellence.
