Data Engineer

Our client is built on a love for storytelling—the very essence of what makes us human. As a streaming platform, they offer over 65 live TV channels, exclusive previews, original productions, and curated collections. Their mission is to bring meaningful and entertaining content to users through a dynamic blend of live TV and on-demand offerings, with a strong focus on both global and local content relevant to the German market.
They see their work as a partnership—between content providers and viewers—striving to make entertainment more engaging, diverse, and enjoyable. To achieve this, they seek highly customer-focused individuals who are ready to help deepen connections with audiences and shape the future of digital entertainment. It’s a challenging journey, but one filled with creativity, purpose, and reward.

ABOUT THE JOB:

• You will work with the sizable data of our video streaming platform as well as data from external sources.
• Together with the team of talented and passionate big data engineers you are building a data platform in a highly
  collaborative and fast-paced environment. Both their recommendation engine and their heartbeat systems are part of this
  platform. The resilient and highly scalable production systems that you build will delight the customers by making
  sure they always see the most exciting content up front.

OPPORTUNITIES TO MAKE AN IMPACT-WHY YOU DO:

• Use your strong background in distributed data processing, stream processing, software engineering
  design, and data modelling concepts to develop reliable and scalable production systems
• Develop Scala components for Spark based data processing pipeline, which powers the playout
  monitoring system
• Enhance BigQuery based Data Lake, orchestrate data jobs for KPI reporting system
• Create the user experience personalization engine, based on the machine learning prototypes of your data
  science colleagues
• Design data collection APIs, develop backend services with Play, facilitate contract agreementsTest,
  integrate and deploy your code automatically using GitLab CI/CD and take care of running your services
  in production on Google Cloud Platform and/or AWS
• Engineering is craftsmanship and you enjoy applying good engineering practises – implement processes,
  systems and tools to aid and you and your team team in the day to day work
• Participate in technical design and architectural discussions within your team and with other teams solve
  some real consumer issues
• Work in a team of passionate and talented engineers and data scientists that self-organise and continuously
  deliver value by embracing a lean and agile mindset
• You learn and succeed in areas you haven’t touched before and you are open to coach each other in the
  team.

REQUIREMENTS:

• A degree in computer science or a very high level of practical experience in that fieldWorking experience
  in data engineering/science for several years, ideally in media or ecommerceDeep knowledge in designing RESTful APIs and bringing them into production, and are familiar with
  topics like load balancing, proxy servers, and DNS
• They are using Python for their recommendation services and Scala for the backend applications, so professional experience in at least one of these languages (or alternatively
  Kotlin/Java/Groovy) is mandatory
• Thinking in Cloud native design patterns i.e. auto-scaling, elasticity, container orchestration when
  architecting new services to handle both data at scale while optimizing costs
• Striving for “everything-as-code” and have working experience with CI/CD & test-automation
• Taking care of code quality, sharing your knowledge, and loving to do code reviewsComfortable in
  working in a fast-paced and ever changing environment and let you grow

NICE TO HAVE:

• Working experience with GCP services (BigQuery, Spanner, CloudRun, PubSub, Dataflow) and/or AWS
  services (S3, CloudFormation, Fargate, DynamoDB)
• Working experience with Spark, which we are using for stream processing. Alternatively you have
  experience with other stream processing frameworks such as KStreams, Flink or Beam
• Knowledge in distributed computing

 WHY YOU`LL LOVE IT:

• Well-funded, stable and innovative company backed by ProSiebenSat1 and Discovery
• Open, transparent, and bureaucracy-free company culture
• Brand new office located in the heart of Munich with parking, showers and a canteen
• Competitive compensation package
• Flexible working times and home office
• Highly international working environment
• State-of-the-art coffee machines, free fruits, snacks and beverages
• Company movie events, table tennis, pool table and kicker

For more details contact:
luka@primeresourcers.com
Or call Luka on:
+385 95 3527 436