Senior Data EngineerPerfil buscado (Hombre/Mujer)
Design and build robust, scalable batch and streaming data pipelinesHelp shape our long-term data platform strategy and toolingEnsure the quality, performance, and reliability of our data productsCollaborate with cross-functional teams to meet business and analytics needsChampion engineering best practices:
clean code, testing, observability, peer reviewsMentor and guide other engineers through technical leadership and knowledge sharing
Dynamic environment, great content access, and an international team.Technical Leader.
We expect you to have 5+ years of experience in data engineering and at least 2 years in a senior role with technical leadership responsibility. You thrive in a collaborative environment and enjoy solving complex challenges.
Key Skills:
Strong experience building data pipelines using SparkExcellent programming skills in Scala or Java (Python is a plus)Deep understanding of AWS Cloud services and infrastructureHands-on experience with streaming frameworks (e.G. Flink, Lambda)Familiarity with data modeling, versioning, and orchestration toolsTrack record of mentoring and influencing architecture
Nice to have:
Infrastructure as code and CI/CD experienceFocus on developer experience and platform scalabilityContributions to open-source or internal engineering communitiesExperience with Databricks is a major advantage
We entertain millions daily through streaming, radio, TV, and production-believing in the power of content to inspire, connect, and expand perspectives. Were on the lookout for top talent to join our journey.
30 days paid vacation annuallyFlexible working hours and hybrid setupPrivate/Full health care plan and insurance coverageA strong culture of learning:
mentoring, tech training, peer networks, and knowledge sharingAnnual Hack Days for innovation and explorationFree platform access, including sports and premium contentA diverse, international team with colleagues from 35+ to 60+ nationalitiesLunch benefits through meal vouchers (Barcelona)
Spark, Scala, Java, Python,