About the Role

• 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 parts of 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 closely with other business units to understand the challenges they face and apply an engineering vision to create structured and scalable solutions to those challenges.
• You'll contribute to the development of a complex data and software ecosystem using the latest technologies in the data and software engineering stack.

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, retrospective 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.

Key responsibilities

• Have a data-oriented mindset to understand complex data assets and business challenges and use engineering skills to solve it.
• Build trusted data assets that power Fever's decision making.
• Build automatizations to create huge business opportunities.
• Design, build and support modern and scalable data infrastructure, e.g.:
• Write robust, maintainable code to orchestrate our ETL workflows and build data quality monitoring processes
• Extend our data APIs
• Build data tools to make the company more data-driven
• Understand the technical trade offs of different solutions, implement them and make them scalable
• Collaborate with other engineers, and stakeholders to understand what data is required and how best to make it available in our Data Platform.

About you

• You have a background in computer science, data engineering, or data science with a strong academic record in your bachelor's program. It would be an advantage if you have a Master's degree in one of the above areas.
• You are a collaborative team player with strong communication skills, adaptable to a multidisciplinary, international, and fast-paced environment.
• You are proactive, driven, and bring positive energy to your work, thriving in dynamic settings.
• You are familiar with software engineering best practices, and you take pride in writing clean, robust, and maintainable code.
• You possess strong analytical and problem-solving abilities, backed by solid software engineering skills.
• You are proficient in Python 3, with a deep understanding of SQL for data manipulation and querying.
• You have experience handling large volumes of data from diverse sources.
• You are proficient in business English, ensuring clear and effective communication in a professional setting.

It would be a plus if you...

• Collaborated effectively in a multidisciplinary team, interacting with roles like data analysts, data scientists, marketing, and product managers to meet project goals and deliver actionable insights.
• Gained experience with scheduling and workflow orchestration tools, such as Airflow, or similar technologies, to manage data pipelines and automate tasks.
• Worked with databases like Snowflake and PostgreSQL for data storage, retrieval, and management, ensuring efficient and accurate data handling.
• Utilized Business Intelligence (BI) tools, such as Metabase or Superset, for data visualization and reporting to support decision-making processes.
• Integrated and interacted with APIs from popular marketing platforms (e.g., Facebook, Google, Instagram) to extract and process data relevant for analysis.
• Developed data-powered tools and applications, either as part of a professional setting or through personal projects, showcasing hands-on skills in practical data applications.
• Gained familiarity with tools and processes designed to support reproducible, production-ready machine learning applications, contributing to ML workflows.
• Acquired knowledge of backend frameworks, including Django, and their use cases in data engineering and application development.

Benefits & Perks

• 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
• 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
• Gympass Membership
• Possibility to receive in advance part of your salary by Payflow.
• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance. 25.000 - 35.000EUR