Data Ops Engineer

Full Time

Hi, we’re Fever!

Fever is the global leading live-entertainment discovery tech platform, with a clear mission: to democratize access to culture and entertainment.

Fever has developed a proprietary technology that inspires its global community of over 125M people through personalized and curated experiences in their local city, whilst empowering entertainment and event creators to reach new audiences and enhance their experiences.

Some successful examples include the “Candlelight Concert Series” attended by over 3 million guests, the Los Angeles based “Stranger Things: The Drive-Into Experience” co-produced with Netflix, or the “Van Gogh: The Immersive Experience” winner of USA Today's 10 Best Readers Choice award.

The company, present in over 100 major cities across the globe, is backed by leading investors such as Goldman Sachs, Alignment Growth (growth equity investor in global entertainment and consumer tech, led by former Warner Bros and Time Warner), Goodwater Capital (the largest dedicated consumer technology platform globally), Smash Capital (a late-stage venture capital firm led by former Disney and growth equity investors, backer of Epic Games), Eurazeo, Vitruvian Partners and Atresmedia among others.

To pursue our objective, we are looking for bar-raisers, people that want to work hard, have fun, and make history with us.



  • You’ll be part of the Data organization, building and operating the core technologies that enable data scientists, analysts and the different business units to leverage rich data in efficient and innovative ways to generate impact and connect people to the most relevant real-world experiences.
  • You'll own critical data pipelines for our Data Warehouse and the resulting data products that are used daily across the company to inform all sorts of decisions and models.
  • You'll ideate and implement tools and processes that increase our ability to exploit our diverse sources of data to solve business problems, understand behaviors, …
  • You'll work with the latest Big Data and Machine Learning technologies to enable new use cases and continuous innovation.

On your first month in Fever:

  • You will be fully integrated into the team. During this month you will have already participated in onboarding, pair programming, one to one, Scrum sessions, and you will have met the different departments at Fever
  • You will get familiar with Fever’s tech stack and frameworks used to develop our data strategy
  • You will attend some of the Fever Original’s experiences like Candlelight

After 3 months in Fever:

  • You’ll be able to come up with solutions to new difficult problems and you'll be generating impact and creating new business opportunities.
  • You’ll have responsibilities and ownership over parts of our Data Warehouse or other critical tools.
  • You will participate in some of the hackdays or hackathons we organise with other teams, and you will mostly know everybody from the data and engineering communities.

On your 6th month in Fever:

  • You’ll contribute to the overall health of our data ecosystem, improving performance, scalability, robustness, …
  • You'll be able to identify gaps in our platforms and processes and be a champion for continuous improvement
  • You’ll be mentoring other new joiners to the team
  • You will participate in some of the team buildings we organise for your team or the whole engineering team



  • Data Ops / Data Engineers work closely with our data infrastructure team designing, implementing, operating  and monitoring a robust and scalable architecture that acts as a reference point for the organization.
  • Some Data Ops / Data Engineers are closer to the developers in our data teams, working to improve the tooling and processes (e.g. CI/CD) that helps us move fast.
  • Tackle strategic business questions like acquisition or creation of new plans, and expansion into new cities. This may include introducing new data sources, data pipelines, reporting processes.



  • Must have: 
    • Python/Scala
    • Experience with AWS services (e.g EKS, Kafka) or similar services in other cloud computing environments. 
    • Experience with Docker/Kubernetes and CI/CD workflows (e.g. Gitlab, Jenkins, Ansible, etc…)
    • Modern Data frameworks (e.g. Airflow, Snowflake, Grafana, Datadog…)
    • SQL
  • Nice to have
    • Data Streaming  Processing (Kafka)
    • Spark
    • MLOps / Production ML systems



  • Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
  • Stock Options
  • Opportunity to have a real impact in a high-growth global category leader
  • 40% discount on all Fever events and experiences
  • Work in a location in the heart of Madrid, with possible travel across our markets
  • Home office friendly
  • Responsibility from day one and professional and personal growth
  • Great work environment with a young, international team of talented people to work with!
  • Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
  • English Lessons
  • We have free food, drink and fruit at the office!
  • Possibility to receive in advance part of your salary by Payflow


Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!


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