Senior Data and Analytics Engineer ID89052

AgileEngine, LLC.; Madrid; Presencial; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine in Madrid is seeking a Senior Data and Analytics Engineer to design and maintain scalable data pipelines and analytics tooling that power our client solutions. You will work on production and staging environments, drive automation, and collaborate with cross-functional teams to ensure high availability and robust observability across cloud services.

This role requires weekend readiness for migrations and strong communication in English to support a fast-paced, globally distributed

Formación

• 2+ years in Site Reliability Engineering, DevOps, or Production Operations.
• Demonstrable AWS EKS experience supporting production environments.
• Experience supporting production SaaS applications.
• Strong understanding of CI/CD systems (GitHub Actions, Jenkins, CircleCI, or similar).
• GitOps experience and strong Git fundamentals.
• Experience using GitHub, Jira, and Confluence in collaborative engineering environments.
• Kubernetes experience (EKS, kOps, or similar).
• Observability stack experience (Grafana, Prometheus, Loki, PagerDuty, or similar).
• Scripting experience (Bash, Python, or Go).
• Infrastructure as Code experience (Terraform, Helm, or similar).
• Working knowledge of relational databases (e.g., PostgreSQL, MySQL).
• Comfortable working within structured operational processes and SLAs.
• Strong written and verbal English communication skills; able to clearly explain technical concepts.
• Self-driven with a growth mindset.
• Weekend availability for application migrations between environments when needed.

Responsabilidades

• Migrate applications between environments; weekend availability is required.
• Monitor and support production and staging environments in real time.
• Respond to incidents, perform root cause analysis, and contribute to post-incident reviews and remediation efforts.
• Participate in an on-call rotation with defined SLAs.
• Handle ad-hoc and unplanned operational requests from Product, Support, and internal teams.
• Maintain and enhance monitoring, alerting, dashboards, logs, and metrics; improve signal-to-noise ratio and standardize observability practices.
• Support CI/CD pipelines, production releases, and GitOps workflows.
• Contribute to automation efforts to reduce operational toil.
• Maintain and improve Kubernetes-based infrastructure and containerized workloads.
• Support Infrastructure as Code practices and ongoing environment improvements.

Conocimientos

DevOps

SRE

English communication

Weekend availability

GitOps

Kubernetes

Herramientas

AWS EKS

CI/CD (GitHub Actions, Jenkins, CircleCI)

GitOps

Kubernetes

Grafana/Prometheus/Loki

Terraform/Helm

PostgreSQL/MySQL

Descripción del empleo

Senior Data and Analytics Engineer ID89052

Full time | AgileEngine | Spain

Job Information

City Madrid

State/Province Madrid

28022

IT Services

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a DevOps Engineer to maintain production and staging environments, execute application migrations, and improve the reliability and automation of cloud infrastructure.

WHAT YOU WILL DO

• Migrate applications between environments; these migrations typically take place on weekends, so weekend availability is required.
• Monitor and support production and staging environments in real time, ensuring high availability, performance, and stability.
• Respond to incidents, perform triage and root cause analysis, and contribute to post-incident reviews and remediation efforts.
• Participate in an on-call rotation with defined SLAs.
• Handle ad-hoc and unplanned operational requests from Product, Support, and internal teams.
• Maintain and enhance monitoring, alerting, dashboards, logs, and metrics; improve signal-to-noise ratio and standardize observability practices.
• Support CI/CD pipelines, production releases, and GitOps workflows.
• Contribute to automation efforts to reduce operational toil.
• Maintain and improve Kubernetes-based infrastructure and containerized workloads.
• Support Infrastructure as Code practices and ongoing environment improvements.

MUST HAVES

• 2+ years of experience in Site Reliability Engineering, DevOps, or Production Operations
• Demonstrable AWS EKS experience supporting production environments.
• Experience supporting production SaaS applications.
• Strong understanding of CI/CD systems (GitHub Actions, Jenkins, CircleCI, or similar).
• GitOps experience and strong Git fundamentals.
• Experience using GitHub, Jira, and Confluence in collaborative engineering environments.
• Kubernetes experience (EKS, kOps, or similar).
• Observability stack experience (Grafana, Prometheus, Loki, PagerDuty, or similar).
• Scripting experience (Bash, Python, or Go).li>
• Infrastructure as Code experience (Terraform, Helm, or similar).
• Working knowledge of relational databases (e.g., PostgreSQL, MySQL) for troubleshooting and operational support.
• Comfortable working within structured operational processes and SLAs.
• Strong written and verbal English communication skills; able to clearly explain technical concepts.
• Self-driven with a growth mindset.
• Weekend availability for application migrations between environments when needed

NICE TO HAVES

• Experience in multi-tenant SaaS environments.
• Experience working in globally distributed teams.
• Familiarity with ChatOps practices.
• Experience improving monitoring quality and reducing alert fatigue.
• Background in operational cost optimization.

PERKS AND BENEFITS

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Each step helps us understand your skills and overall fit.

If it’s a match, you’ll receive an offer.