Data Engineer

Valsea - Where Innovation Meets Entertainment

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?

What are we looking for now?

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.

What You’ll do:

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

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Company

Valsea Technologies

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