Data Platform Engineer (Mid-Level) (m/f/d)
Flix · Berlin, Berlin, Germany
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- On site
- Full-time
- $110,000 / year
- Berlin, Berlin, Germany
Job highlights
- Build and operate scalable data infrastructure on AWS.
- Develop streaming and data platform components.
- Implement monitoring and operational tooling.
- Collaborate with data analysts and scientists.
- Shape career path in growing global company.
About the role
Data Platform Engineer
We’re looking for a Data Platform Engineer to join our team and help build and operate the data infrastructure that powers Flix’s mobility platform. At FlixTech, our data platform enables teams across the company to process, analyze, and act on large volumes of mobility data. The platform supports critical use cases such as network planning, pricing, operations, and business analytics. You will work on scalable infrastructure that processes millions of daily events and ensures reliable data availability across the organization.
You’ll be part of a cross-functional engineering environment collaborating with data analysts, data scientists, and platform engineers. The role focuses on building reliable, scalable data systems and enabling other teams to work efficiently with data.
About The Role
- Design, build, and maintain scalable data infrastructure running on AWS and Kubernetes
- Develop and operate streaming and data platform components using technologies such as Kafka and Snowflake
- Implement monitoring, alerting, and operational tooling to ensure platform reliability and performance
- Own features end-to-end, including development, testing, deployment, monitoring, and maintenance
- Build and maintain Infrastructure as Code using Terraform and GitLab CI/CD
- Collaborate with data analysts, data scientists, and stakeholders to support data platform use cases
- Contribute to improving platform reliability, automation, and engineering practices
- Participate in on-call rotations to support the stability of the data platform
About You
- 3+ years of experience building or operating data infrastructure or data platforms
- Hands-on experience with streaming technologies such as Kafka and data warehouses like Snowflake
- Experience with Infrastructure as Code tools (e.g., Terraform) and CI/CD pipelines (e.g., GitLab)
- Practical experience with cloud platforms (preferably AWS) and container platforms such as Kubernetes
- Experience with monitoring and observability tools (e.g., Datadog or similar)
- Solid programming skills in Python and interest in writing clean, maintainable code
- Strong collaboration and communication skills when working with technical and business stakeholders
- Fluent in English
Nice To Have
- Experience with advanced SQL or data transformation tools (e.g., dbt)
- Experience with data processing frameworks (e.g., PySpark)
- Knowledge of security and networking concepts relevant for data platforms
We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. We want to hear from you!
What We Offer
- Travel perks: 12 free Flix vouchers + 12 discount vouchers for friends & family.
- Work from (M)Anywhere: Depending on your role, work from another location for up to 60 days per year.
- Hybrid work model: We are an office-first company, but we offer flexibility to balance work and life.
- Wellbeing support: Access confidential 1:1 counselling, courses, and stress management for yourself and up to four family members.
- Learning & Development: Take advantage of language classes, training courses, and expert-led sessions to grow your skills.
- Mentoring Program: Connect with experienced colleagues to gain insights and accelerate your career.
To view more local benefits specific to each office location, please check out this link: Locations - Flix Career
Why Join Flix?
At Flix, you’ll find teams that rally together to overcome challenges and spark creativity. We believe in ownership culture - giving you the freedom to take initiative, make an impact, and shape your own career path. As we continue to expand across the globe, you can make a real difference in how we work. If you’re ready to grow and lead your journey, Flix is the place for you!
Key skills/competency
- Data Platform Engineer
- AWS
- Kubernetes
- Kafka
- Snowflake
- Terraform
- Python
- CI/CD
- Data Infrastructure
- Monitoring
Skills & topics
- Data Platform Engineer
- AWS
- Kubernetes
- Kafka
- Snowflake
- Terraform
- Python
- CI/CD
- Data Infrastructure
- DevOps
- Cloud Engineering
- Data Engineering
- Streaming Data
- SQL
- Datadog
How to get hired
- Tailor your resume: Highlight your experience with AWS, Kubernetes, Kafka, Snowflake, Terraform, and Python. Quantify achievements in data infrastructure projects.
- Craft a compelling cover letter: Express your passion for data platforms and how your skills align with Flix's mission. Mention specific contributions you could make.
- Prepare for technical interviews: Review data platform concepts, streaming technologies, IaC, and CI/CD best practices. Be ready to discuss your experience with AWS and Kubernetes.
- Showcase collaboration skills: Prepare examples of how you've worked with data analysts, data scientists, and stakeholders. Emphasize your communication abilities.
- Research Flix's culture: Understand their ownership culture and global expansion. Align your responses with their values of initiative and impact.
Technical preparation
Master AWS services for data infrastructure.,Practice Kubernetes deployment and management.,Build projects with Kafka and Snowflake.,Implement IaC with Terraform and GitLab CI.
Behavioral questions
Describe a complex data infrastructure challenge.,How do you ensure data platform reliability?,Share an experience collaborating with data scientists.,How do you own a feature end-to-end?
Frequently asked questions
- What is the primary responsibility of a Data Platform Engineer at Flix?
- The primary responsibility of a Data Platform Engineer at Flix is to design, build, and operate the scalable data infrastructure that powers Flix's mobility platform, enabling teams to process and analyze large volumes of mobility data.
- What are the key technologies used by the Data Platform Engineer at Flix?
- Key technologies for the Data Platform Engineer role at Flix include AWS, Kubernetes, Kafka, Snowflake, Terraform, and Python. Experience with monitoring tools like Datadog is also important.
- What is the work arrangement for the Data Platform Engineer role at Flix?
- The Data Platform Engineer role at Flix follows a hybrid work model, balancing office-first principles with flexibility. Additionally, there's a 'Work from (M)Anywhere' option for up to 60 days per year.
- What kind of benefits does Flix offer to its Data Platform Engineers?
- Flix offers a range of benefits including travel perks, Work from (M)Anywhere options, wellbeing support, learning and development opportunities, and a mentoring program.
- How much experience is required for the Data Platform Engineer position?
- The Data Platform Engineer position requires at least 3 years of experience in building or operating data infrastructure or data platforms.
- Does Flix encourage applications from candidates who don't meet all requirements for the Data Platform Engineer role?
- Yes, Flix strongly encourages applications from candidates who may not meet 100% of the listed requirements but believe they can still make an impact. They value unique skills and experiences.
- What are the opportunities for professional growth as a Data Platform Engineer at Flix?
- Flix provides opportunities for growth through their Learning & Development programs, including language classes and training courses, as well as a Mentoring Program to connect with experienced colleagues.
- What is the role of Infrastructure as Code in this Data Platform Engineer position?
- Infrastructure as Code, specifically using tools like Terraform and CI/CD pipelines such as GitLab CI/CD, is crucial for building and maintaining the data platform's infrastructure in a scalable and automated manner.