Senior Data Engineer
Our client brings games and studios to their maximum potential. With their technology and solutions, they bring their partners to the level of performance their product deserves. They help them attract and retain valuable, engaged, and happy users, and scale games growth to unexpected heights.
They are defining a new way of running games performance, and are the provider of choice for many of the leading games studios. If you play games, you have most likely played their client's games.
They are also leading the world of gaming into one of their logical and exciting developments and helping games transition to a blockchain-centric world, where NFTs and crypto co-exist with proper, interesting, and engaging gaming experiences.
To continue their exponential growth they are bringing-in high performing and ambitious team players, whether an avid gamer or not (we’ll show you, there will be no way back): they are a B2B tech business above anything. They are enthusiastic and gung-ho about games but super- serious about their clients-partners success.
Our client is looking for a Senior Data Engineer who will cooperate on building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources for some of the biggest gaming companies in the world.
Your input to the game development is crucial, and you will be an important part working on either their client's projects or providing insight to their R&D team in order to create new market-defining software products.
As a Data Engineer, you will develop and operate data pipelines and integrations to ease everyday analytics workflow. You will also participate in analytics and machine learning model implementation, together with the analysts and data scientists. Your responsibility is keeping the data and models fresh for serving hundreds of millions of players.
Maintain pre-build ETL and integrations with 3rd party services, create and manage data pipelines
Work with product teams to define data to be collected for and from our data products for many use cases
Cooperate with stakeholders including data, design, product, and executive teams and assist them with data-related technical issues
Data quality assurance
Prepare and present the business impact of data products to stakeholders (optional)
Work as part of a team, but with plenty of opportunities to take responsibility on an individual level
Full day tasty and rich meals including breakfast, lunch, and afternoon snack at your disposition every working day - provided by our client for you for free
OUR CLIENT DO CARE ABOUT YOUR WELLBEING - choose from a wide variety of weekly trainings from functional to pilates or yoga - for free, right at the offices
Free gym and showers at the offices
Table tennis and table football
Bike house for those friendly to the environment
Spacy terrace with a wonderful view to chill with colleagues
With wonderful new offices located in SKY PARK in Bratislava’s old town you won’t have any trouble with transportation and many services are right on the spot
You can work remotely or from the offices
University degree in computer science or related area
Advanced knowledge of SQL
Solid knowledge of (statistical) programming language (e.g. Python)
Proficient in big data and ETL technologies (AWS EMR, Spark, Airflow, or similar)
Being passionate and committed to tasks, while maintaining an open and respectful attitude towards others and their work
Nice to have:
Experience with cloud computing, preferably Google Big Query and AWS / Redshift
Ability to think clearly under pressure – you are expected to be able to respond to and troubleshoot a wide range of issues in a production environment