E
EQS
Senior Data Operations Engineer
Skills
SQL QueriesData EngineeringDockerPythonPostgreSQLMySQLGitAIdbtLinuxKubernetesApache AirflowCompliance
16 hours ago
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Important information
Contract type:
Permanent
Location:
Barcelona, Spain
Work mode:
Onsite
Published on:
22 October 2026
What they need
- Do you have a passion for building innovative technology solutions? Our team in Barcelona is seeking a talented Senior Data Ops Engineer to join us in building the next generation of our Compliance SaaS platform using cutting-edge technology. You will design, implement, and maintain test automation frameworks that drive our continuous delivery process
- You will collaborate with cross-functional teams to validate service integrations, test our products and systems, and optimize our testing strategies. If you’re looking for growth and the opportunity to mentor other engineers, this may be the right role for you!
- As a Senior Data Ops Engineer, you will drive the reliability, scalability, and performance of our data platform. You will shape how we manage data pipelines, infrastructure, and tooling. You will embed automation, strengthen observability, and ensure our data infrastructure meets the Insights team’s needs. Your impact will extend beyond individual pipelines, influencing processes, teams, and the long-term stability of our data platform
- Here’s how you will contribute to our team:
- Data Pipeline Development. You will design, build, and maintain Airflow DAGs, data ingestion pipelines, and dbt pipelines that move and transform data across our platform. Your work ensures that data flows reliably from source to destination and that downstream teams can trust the models they build on top of it
- Kubernetes & Infrastructure Operations. You will maintain our Kubernetes namespaces and Trino and Airflow clusters and manage multiple environments end-to-end. By keeping our infrastructure stable, scalable, and production-ready, you give every team that depends on it the confidence to build and ship at speed
- Cross-Team Coordination. You will coordinate closely with the SRE team on infrastructure and deployment topics, and work hand in hand with the Backend team to align on shared architecture decisions. Your ability to communicate clearly across teams keeps our data platform consistent with the systems it connects to
- Monitoring, Metrics & Support. You will expand our monitoring and alerting setup, prepare internal metrics that give teams clear visibility into system health, and assist with user-reported bugs as they come in. Together, these efforts keep our platform reliable and our users confident in the data they depend on- You bring 4+ years of experience in data operations, data engineering, or data platform operations, including building and maintaining data pipelines and supporting production data infrastructure
- Strong experience with CI/CD pipelines and Git. You know how to ship changes safely and collaborate through code review and clear version control practices
- Experience working with AI, including writing skills or tools for AI systems. You’re comfortable applying AI to improve engineering and data workflows and reviewing the quality of its outputs. You’re building agents to automate workflows and processes
- Solid experience with Python development - or, alternatively, another object-oriented programming language. You can write clean, maintainable code to automate and extend our data tooling
- Experience with Apache Spark or Trino SQL for large-scale data processing
- A good understanding of networking, which helps you troubleshoot connectivity issues across our infrastructure
- Strong prioritization skills and a practical approach to changing priorities. You can balance planned improvements with operational issues, communicate trade-offs, and stay focused during incidents
- Solid experience with the Linux command line. You are comfortable working in a terminal and troubleshooting issues in a Linux environment
- Experience with database management, ideally with PostgreSQL and MySQL. You can tune and maintain relational databases and investigate performance and data issues
- Excellent English communication skills. You work effectively with people from different backgrounds, both technical and non-technical. You can explain your decisions, challenge ideas constructively, and remain open to other perspectives
- Hands-on experience with Kubernetes, Helm charts, Docker, and similar containerization tooling. You’re comfortable deploying, running, and troubleshooting containerized workloads in production
- Strong SQL skills, paired with experience in data transformation tools such as dbt, SQLMesh, or similar. You can write, tune, and troubleshoot complex queries, turning raw data into clean, tested, and well-documented models
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