Data Platform Engineer (Mid-Level)

Flix
Berlin, Germany
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Berlin, Germany

Tech stack

Amazon Web Services (AWS)
Computer Programming
Data Infrastructure
Data Transformation
Data Systems
Data Warehousing
Python
SQL Databases
Data Streaming
Datadog
Data Processing
Snowflake
Gitlab
PySpark
Gitlab-ci
Kubernetes
Kafka
Data Management
Terraform

Job description

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., * 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

Requirements

Do you have experience in Terraform?, * 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

Benefits & conditions

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.

About the company

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!   If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.

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