Data Engineer

Fever's Blog | Tech.eu
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Clean Code Principles
API
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Big Data
Data Infrastructure
ETL
Dataspaces
Data Warehousing
Digital Assets
Python
PostgreSQL
Standard Sql
Software Construction
Snowflake
Pandas
Amazon Web Services (AWS)
PySpark

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

About the company

Hi, we're FeverWe're excited you are checking out this job offer.We are the leading global live-entertainment discovery tech platform with a clear mission: to democratize access to culture and entertainment. How do we achieve our mission? Fever has developed a proprietary technology that inspires a 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 experience. Sounds amazing, right? Behind the user-friendly iOS and Android apps and webpage that work across the world is the engineering team. We are in charge of creating, developing, improving, and maintaining all Fever services so that more people can have an amazing experience. About the roleYou'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 FeverYou will get familiar with Fever's tech stack and frameworks used to develop our data strategyYou will attend some of the Fever Original's experiences like CandlelightAfter 3 months in Fever:You'll be able to come up

Apply for this position