At 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.
Valsea 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.
We 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.
Despite 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.
We 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?
We are looking for an experienced Data Engineer with a strong focus on data reliability, consistency, and scalability.
You 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.
This role is ideal for someone who not only enjoys building pipelines, but also cares deeply about ensuring data is accurate, trusted, and production-ready.
Data Pipelines and Architecture
Build, maintain, and optimise scalable data pipelines and architectures supporting analytics, reporting, and operational use cases
Contribute to improving the overall structure and maintainability of the data platform
Data Reliability and Quality
Design and implement automated data validation and quality checks across core datasets
Ensure data is complete, accurate, and consistent across systems
Investigate discrepancies and perform root cause analysis across pipelines and data stores
Work towards establishing a single source of truth for key business metrics
Testing and Validation Frameworks
Introduce and maintain automated testing for data pipelines, including:
null and completeness checks
volume and anomaly checks
cross-system consistency validation
Ensure validation is part of the pipeline lifecycle, not just post-deployment
Observability and Monitoring
Build and maintain monitoring and alerting for data pipelines
Improve visibility into pipeline health, failures, and data anomalies
Proactively identify and resolve issues before they impact the business
Launch and Deployment Support
Support data readiness for new product and brand launches
Define and enforce validation steps before data goes live
Contribute to automating repetitive setup and configuration tasks
Reduce risk and manual effort during deployments
Collaboration and Enablement
Work closely with data engineers, product teams, and analytics stakeholders
Translate business requirements into reliable and scalable data solutions
Contribute to documentation, knowledge sharing, and best practices
Technical Foundations
Strong SQL, Python, and Bash
Hands-on experience building data pipelines in AWS (or similar cloud)
Solid understanding of ETL/ELT and data warehousing
Data Reliability & Quality Focus
Proven experience implementing data quality checks and validation frameworks
Experience ensuring data accuracy, completeness, and consistency
Ability to perform root cause analysis on data issues
Data Engineering Practices
Experience with orchestration tools like Apache Airflow or Kestra
Familiarity with CI/CD and version control (e.g. GitHub Actions, Argo CD, Terraform)
Ability to build scalable, maintainable pipelines and architectures
Mindset & Collaboration
Strong attention to detail and focus on data integrity
Ability to work cross-functionally with both technical and non-technical stakeholders
Ownership mindset for production-grade data systems
Proficiency in professional-level English communication, both written and verbal is mandatory.
Candidates with these skills and experiences will be preferred.
Experience with dbt or similar transformation frameworks
Experience with real-time or modern data platforms
Building end-to-end testing frameworks (not just post-deployment checks)
Implementing monitoring, alerting, and observability
Experience supporting product or market launches with data readiness
Working in fast-paced environments with frequent releases
Exposure to event streaming tools like Apache Kafka
Experience with monitoring/observability tooling
Understanding of real-time vs batch trade-offs
Exposure to machine learning workflows or feature engineering
Experience with ML models / MLOps
Hybrid working model (office 3 days/week) or fully remote
Innovative international company that uses cutting-edge tech equipment
Collaborative teams and agile multicultural environment
Competitive salary with flexible working hours
23 paid vacation days + public holidays
Private health insurance for you and your family
Free Online English/Spanish lessons
Corporate events throughout the year
Ongoing learning and professional development opportunities
Daily breakfast and freshly cooked lunch 3 days a week
50% discount on personal training sessions and physiotherapy sessions
Games room, full kitchen with hot drinks, fruit, soft drinks
Gym, massage room and much more
At 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 (https://valsea.teamtailor.com/data-privacy) to learn more about how we collect, use and transfer the personal data of our candidates.
We’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.
Please note that we are unable to sponsor work visas outside the EU.
