Data Engineer
Role details
Job location
Tech stack
Job description
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 improvementYou'll be mentoring other new joiners to the teamYou will participate in some of the team buildings we organise for your team or the whole engineering teamKey responsibilitiesBuild trusted data assets that power Fever's decision makingHave a business-oriented mindset and create data automatization to create huge business opportunitiesDesign, build and support modern and
Requirements
scalable data infrastructure, e.g.:Write robust, maintainable code to orchestrate our ETL workflows.Build data quality monitoring processesBuild data tools to make our analysts and scientists more efficientCollaborate with other engineers, and stakeholders to understand what data is required and how best to make it available in our Data Platform.Understand the technical trade offs of different solutions, implement them and make them scalableAbout youYou are smart, get stuff done, have great energy, and thrive in a fast paced environmentYou are an expert working with large volumes of data from multiple sources, both internal and external (e.g. APIs)You are comfortable with software engineering best practices and you are proud to write robust, readable and maintainable code.You are an expert in Python3 and its data ecosystem (e.g. Pandas, Pyspark)Strong knowledge of SQL (PostgreSQL, Snowflake, …)Experience with AWS (S3, EC2, RDS, …)You are proficient in business EnglishIt
Benefits & conditions
would be a plus if you...You have worked with Airflow or similar tools.You have worked in a multidisciplinary team working with roles such as data analysts, data scientists, marketing or product managers.You are familiar with tools and processes for reproducible, production-ready ML applications (e.g. data logging, ML workflows, model serving).You have worked with the API of the most popular marketing tools (Facebook, Google, Instagram, etc.)You have built data-powered tools either in a professional setting or as passion projects.Benefits & PerksAttractive 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 leader40% discount on all Fever events and experiencesHome office friendlyResponsibility from day one and professional and personal growthGreat work environment with a young, international team of talented people