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. EQS Group is a leading international cloud software provider in the areas of compliance & ethics, data privacy, sustainability management, and investor relations. We help thousands of companies worldwide cultivate trust by simplifying the complexities of compliance, investor relations, and transparent communication with stakeholders. That is why we communicate all our commitments to sustainability, diversity, equality, and well-being on our homepage and our social media platforms. I would probably replace this with test our products and infrastructure, or something like that. Contribute to our success story of becoming the leading European cloud provider for corporate compliance and investor relations solutions.

we offer
flexibility through our hybrid-working model, conveniently arrange your

working hours
, and the ability to work from abroad within the EU. YOUR IMPACT 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. 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. 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. Together, these efforts keep our platform reliable and our users confident in the data they depend on. 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. Solid experience with the Linux command line. You are comfortable working in a terminal and troubleshooting issues in a Linux environment. Hands-on experience with Kubernetes, Helm charts, Docker, and similar containerization tooling. Experience with database management, ideally with PostgreSQL and MySQL. You can tune and maintain relational databases and investigate performance and data issues. 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. 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. Excellent English communication skills. 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. 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. #

📌 Senior Data Engineer (Barcelona)
🏢 EQS Group
📍 Barcelona