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- Aufgaben: Join a dynamic team to enhance data pipelines and support game analytics.
- Arbeitgeber: Be part of a leading games studio in Berlin, creating engaging casual games for millions.
- Mitarbeitervorteile: Enjoy perks like relocation support, annual salary reviews, and a €2,000 education budget.
- Warum dieser Job: Work in a collaborative environment with cutting-edge technology and a focus on personal growth.
- GewĂĽnschte Qualifikationen: 4+ years in data engineering with skills in Scala, Java, or Python; Kubernetes experience required.
- Andere Informationen: Flexible work options include 'Workcation' and mental health collaborations.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
We’re leading the search for an experienced Data Engineer for one of Europe’s leading games studios based in the heart of Berlin, to evolve their data pipeline and to challenge the team to find even better solutions.
As a Senior Data Engineer, you will be an essential part of their Data team, inspiring and sharing your expertise with your colleagues. Their Data Engineering team is responsible for providing the data infrastructure, services and tools they use to analyse, improve and personalize their games which are enjoyed by millions of players every month. The team is processing terabytes of data and enables number-driven business decisions within the company in all areas.
With over 300 employees from around the world, the studio’s talented and diverse teams work together, with an emphasis on close collaboration, to create high-quality casual games with engaging stories at the core of the experience.
Your responsibilities…
- Keep data infrastructure up and running while modernizing it
- Improve and maintain tooling that makes their game analysts and data scientists’ lives easier
- Build software that help the marketing team to integrate and analyse data from various sources
The skills and experience you’ll bring to the role…
- 4 or more years’ experience in data engineering using Scala, Java or Python
- Deep knowledge of working with Kubernetes, also managing a cluster
- Comfortable working with cloud providers, ideally AWS
- Experience working with workflow orchestration tools (Airflow)
- Experience with DevOps and Infrastructure (Kubernetes, Docker, Github – CI/CD pipelines, Terraform)
- Familiar with Kafka
- You value collaboration, and consider yourself to be a team player
- You’re up to date with the latest technologies in Data Engineering
- Good written and spoken English language skills
Non-essential but desirable extras…
- SQL knowledge
- Familiar with Jupyter notebooks
- Basics of data security and data protection
Perks and benefits include…
- Relocation support for you and your family including visa support, a relocation allowance and help finding a home
- Annual salary review
- Bonus based on company KPIs – share in the studio’s commercial success
- 28 days annual leave, with more days added with service
- ‚Workcation‘ – work from abroad for up to 10 days per year
- Mental and physical health collaborations
- Purpose day to allow you to donate your time to a worthy cause
- Yearly €2,000 education budget, plus 2 days of educational leave and in-house training
- Cycle and public transport subsidies
- Support with securing kindergarten/nursey/preschool slots
- German language classes for you and your partner
#J-18808-Ljbffr
Senior Data Engineer (Hybrid) Arbeitgeber: Aardvark Swift Recruitment Ltd
Kontaktperson:
Aardvark Swift Recruitment Ltd HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Engineer (Hybrid)
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Scala, Java, Python, and Kubernetes. Being able to discuss your hands-on experience with these tools during the interview will demonstrate your expertise and fit for the role.
✨Tip Number 2
Showcase your collaborative skills by preparing examples of past projects where you worked closely with data analysts or scientists. Highlighting your ability to inspire and share knowledge with colleagues will resonate well with the team-oriented culture of the studio.
✨Tip Number 3
Research the company’s games and their data-driven approach. Understanding how they use data to enhance player experiences will allow you to speak more passionately about how you can contribute to their goals during the interview.
✨Tip Number 4
Prepare to discuss your experience with cloud providers, particularly AWS, and workflow orchestration tools like Airflow. Being able to articulate your familiarity with these technologies will set you apart as a strong candidate for the Senior Data Engineer position.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Engineer (Hybrid)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the responsibilities and skills required for the Senior Data Engineer position. Tailor your application to highlight your relevant experience in data engineering, especially with Scala, Java, or Python.
Showcase Your Experience: In your CV and cover letter, emphasize your 4+ years of experience in data engineering. Provide specific examples of projects where you improved data infrastructure or built tools that benefited teams, particularly in gaming or similar industries.
Highlight Collaboration Skills: Since the company values collaboration, mention instances where you worked effectively in a team setting. Discuss how you inspired colleagues or contributed to a positive team environment, especially in data-related projects.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure that your English is clear and professional, as good written communication skills are essential for this role. Check for any spelling or grammatical errors.
Wie du dich auf ein Vorstellungsgespräch bei Aardvark Swift Recruitment Ltd vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Scala, Java, or Python in detail. Highlight specific projects where you utilized these languages, especially in data engineering contexts. This will demonstrate your technical proficiency and relevance to the role.
✨Emphasize Collaboration
Since the team values collaboration, share examples of how you've worked effectively in teams. Discuss how you’ve inspired colleagues or contributed to a positive team dynamic, as this aligns with their emphasis on teamwork.
✨Familiarize Yourself with Their Tools
Research the tools mentioned in the job description, such as Kubernetes, Airflow, and Kafka. Be ready to discuss your experience with these technologies and how you can leverage them to improve their data infrastructure.
✨Prepare Questions About Their Data Pipeline
Demonstrate your interest in the role by preparing insightful questions about their current data pipeline and challenges they face. This shows that you are proactive and genuinely interested in contributing to their success.
