DataOps Engineer - (Barcelona)

We’re PayRetailers, and we offer cutting-edge payment solutions that empower businesses to succeed in Latin America & Africa.

Our collaborative and inclusive work environment encourages creativity and growth, where every employee's contribution is valued.  

We’ve got big plans to expand into new markets and make a meaningful impact on the world of payments. To help us get there, our Data team is on the lookout for a new DataOps Engineer. 

About the role:

The DataOps Architect/Engineer is a hands-on technical leader responsible for architecting, automating, and optimizing data operations across the enterprise. This position plays a key role in implementing best practices in data integration, deployment, monitoring, and security, while collaborating with cross-functional teams to drive continuous improvement in data operations.

Your responsibilities:

• Operational Excellence:
  Automate deployment, monitoring, and maintenance of data pipelines and services using modern DataOps practices.
• Governance & Monitoring:
  Define, implement, and maintain governance policies for data pipelines and cloud data services. Develop and manage dashboards, metrics, and KPIs to monitor operational performance, job executions, and system reliability.
• Incident Response & Troubleshooting:
  Proactively identify, diagnose, and resolve data-related incidents and performance bottlenecks, ensuring minimal downtime and impact.
• Continuous Improvement & Best Practices:
  Lead initiatives to adopt industry best practices in data integration, data security, performance optimization, and infrastructure as code.
• Collaboration:
  Work closely with software development, cloud infrastructure, and security teams. Provide technical guidance on architectural decisions and process improvements.

About you:

• Degree in Computer Engineering or similar.
• 4+ years of overall technical experience, including at least 2+ years with a proven track record in DataOps and data engineering
• Excellent communication and collaboration skills; ability to effectively articulate technical concepts to both technical and non-technical audiences.
• Proficiency in designing and deploying CI/CD pipelines for data workflows and infrastructure.
• Deep understanding of cloud data engineering (preferably on Azure) and experience working with tools such as Databricks, Azure Data Lake, Azure Event Hub
• Familiarity with CDC, streaming solutions, and real-time data processing.
• Expertise in Python and SQL skills.
• Solid background in building and operating highly available, distributed systems for data ingestion, processing, and storage.
• Familiarity with monitoring tools and practices (e.g., Prometheus, VictoriaMetrics, Grafana) and logging tools (e.g., Filebeat, Logstash, Vector).

What do we offer:

• Hybrid working model 😊 
• 26 vacation days a year 
• Language classes & professional courses   
• Free catering & snacks in the office   
• Private health insurance 
• Free lunch at the office 
• An afternoon off on your birthday  

If you’re passionate about tech, innovation, and want to thrive in an environment that values collaboration and diversity, this role might be the perfect fit for you! 

Apply today and help us shape the future of the PayTech industry! 

To get an idea of what life at PayRetailers is like, check out our Instagram and our About Us page. 

Our commitment to diversity, equity & inclusion 

At PayRetailers, diversity, equity, and inclusion aren't just values – they're fundamental to who we are. We're dedicated to fostering an environment where every individual feels valued, respected, and empowered to bring their authentic selves to work. We welcome applicants from all backgrounds and identities, recognizing that diversity drives innovation and strengthens our team.   

So, if you're passionate about making a difference and excited about the role, we encourage you to apply. Join us in building a global company where everyone can thrive and feel proud to belong.  

Please feel free to include your pronouns in your application (e.g. she/her, he/him, they/them, etc.).