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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Valsea Technology - **Location:** Marbella, Spain (Remote available) - **Salary:** €60,000.0 - €90,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Automation of Tests, Bash Shell, Continuous Integration, Data Validation, Information Engineering, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Stores, Data Systems, Data Warehousing, Github, Python (Programming Language), Machine Learning, Octopus Deploy, E2e Testing, Standard Sql, Workflow Management Systems, Feature Engineering, Apache Kafka, Machine Learning Operations, Terraform, Software Version Control, Data Pipelines - **Published:** September 24, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role + 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. Strong Advantages 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 Nice-to-Haves + 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 ## Description 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: o null and completeness checks o volume and anomaly checks o 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)