Hybrid Data Engineer: Pipelines, Quality & Observability
hace 2 días
Marbella
pstrongValsea - Where Innovation Meets Entertainmentbr/strongAt Valsea, we’re shaping the future of entertainment with immersive, engaging experiences that captivate players worldwide. Based in sunny Marbella, Spain, our vibrant open-space office is home to an international team of developers, marketers, product owners, and much more.brValsea operates a leading scalable technology platform, 100% owned by us. This gives us the freedom to deliver results fast. We integrate selected outside companies into our ecosystem to ensure we provide fresh and vibrant products for our customers.brWe work in a fast-paced environment, creating new brands, maintaining and improving our tech stack, launching leading acquisition and retention campaigns, and developing fresh features. Our ethos is simple - be best-in-class in everything we do.brDespite our rapid growth, Valsea still has that exciting start-up feel. We embrace a hybrid working model to balance professional growth with personal well-being. With a dynamic work environment, attractive salary, and a culture that thrives on collaboration, our power is our people.brWe provide company laptops and other things you may need to work comfortably. Remote workers are always invited to our annual company trip and other team events. Ready to be part of something exciting?brstrongWhat are we looking for now?br/strongWe are looking for an experienced Data Engineer with a strong focus on data reliability, consistency, and scalability.brYou will play a key role in evolving our data platform from a primarily pipeline-driven setup to a more structured, reliable, and scalable system. This includes improving how data is validated, monitored, and delivered across the business.brThis role is ideal for someone who not only enjoys building pipelines, but also cares deeply about ensuring data is accurate, trusted, and production-ready.brstrongWhat You’ll Dobr/strongstrongData Pipelines and Architecturebr/strongulliBuild, maintain, and optimise scalable data pipelines and architectures supporting analytics, reporting, and operational use cases /liliContribute to improving the overall structure and maintainability of the data platformbr/li /ulstrongData Reliability and Qualitybr/strongulliDesign and implement automated data validation and quality checks across core datasets /liliEnsure data is complete, accurate, and consistent across systems /liliInvestigate discrepancies and perform root cause analysis across pipelines and data stores /liliWork towards establishing a single source of truth for key business metricsbr/li /ulstrongTesting and Validation Frameworksbr/strongulliIntroduce and maintain automated testing for data pipelines, including: /liullinull and completeness checks /lilivolume and anomaly checks /lilicross-system consistency validation /li /ulliEnsure validation is part of the pipeline lifecycle, not just post-deploymentbr/li /ulstrongObservability and Monitoringbr/strongulliBuild and maintain monitoring and alerting for data pipelines /liliImprove visibility into pipeline health, failures, and data anomalies /liliProactively identify and resolve issues before they impact the businessbr/li /ulstrongLaunch and Deployment Supportbr/strongulliSupport data readiness for new product and brand launches /liliDefine and enforce validation steps before data goes live /liliContribute to automating repetitive setup and configuration tasks /liliReduce risk and manual effort during deploymentsbr/li /ulstrongCollaboration and Enablementbr/strongulliWork closely with data engineers, product teams, and analytics stakeholders /liliTranslate business requirements into reliable and scalable data solutions /liliContribute to documentation, knowledge sharing, and best practicesbr/li /ulstrongWhat You’ll Bringbr/strongstrongTechnical Foundationsbr/strongulliStrong SQL, Python, and Bash /liliHands-on experience building data pipelines in AWS (or similar cloud) /liliSolid understanding of ETL/ELT and data warehousingbr/li /ulstrongData Reliability Quality Focusbr/strongulliProven experience implementing data quality checks and validation frameworks /liliExperience ensuring data accuracy, completeness, and consistency /liliAbility to perform root cause analysis on data issuesbr/li /ulstrongData Engineering Practicesbr/strongulliExperience with orchestration tools like Apache Airflow or Kestra /liliFamiliarity with CI/CD and version control (e.g. GitHub Actions, Argo CD, Terraform) /liliAbility to build scalable, maintainable pipelines and architecturesbr/li /ulstrongMindset Collaborationbr/strongulliStrong attention to detail and focus on data integrity /liliAbility to work cross-functionally with both technical and non-technical stakeholders /liliOwnership mindset for production-grade data systemsbr/li /ulProficiency in professional-level English communication, both written and verbal is mandatory.brstrongStrong Advantagesbr/strongstrongCandidates With These Skills And Experiences Will Be Preferred.br/strongulliExperience with dbt or similar transformation frameworks /liliExperience with real-time or modern data platforms /liliBuilding end-to-end testing frameworks (not just post-deployment checks) /liliImplementing monitoring, alerting, and observability /liliExperience supporting product or market launches with data readiness /liliWorking in fast-paced environments with frequent releasesbr/li /ulstrongNice-to-Havesbr/strongulliExposure to event streaming tools like Apache Kafka /liliExperience with monitoring/observability tooling /liliUnderstanding of real-time vs batch trade-offs /liliExposure to machine learning workflows or feature engineering /liliExperience with ML models / MLOpsbr/li /ulstrongWhat We Offerbr/strongulliHybrid working model (office 3 days/week) or fully remote /liliInnovative international company that uses cutting-edge tech equipment /liliCollaborative teams and agile multicultural environment /liliCompetitive salary with flexible working hours /lili23 paid vacation days + public holidays /liliPrivate health insurance for you and your family /liliFree Online English/Spanish lessons /liliCorporate events throughout the year /liliOngoing learning and professional development opportunitiesbr/li /ulstrongIn-office Perks Such Asbr/strongulliDaily breakfast and freshly cooked lunch 3 days a week /lili50% discount on personal training sessions and physiotherapy sessions /liliGames room, full kitchen with hot drinks, fruit, soft drinks /liliGym, massage room and much morebr/li /ulAt Valsea, we want diversity and inclusion in an environment where unique perspectives and new talents thrive. Join us in creating a workplace where everyone can shine and contribute to our collective success. Protecting your privacy and data security is a longstanding top priority for Valsea. Please consult our Privacy Notice ( to learn more about how we collect, use and transfer the personal data of our candidates.brWe’re a diverse team with great people from across the world. This position is available both as a hybrid position in Marbella (Spain) or as a fully remote position from inside of Spain.bremPlease note that we are unable to sponsor work visas outside the EU. /em /p #J-18808-Ljbffr