Optional :
MLOps, AWS, Azure or GCP experience
You will be :
developing, constructing, testing and maintaining architectures (such as databases and large-scale processing systems),
ensuring that the developed architecture supports our clients’ business requirements,
looking for data acquisition opportunities,
developing data set processes for data modeling, mining, and production,
employing a variety of languages and tools (e.g., scripting languages) to marry systems together,
recommending ways to improve data reliability, efficiency and quality.
Your profile :
5+ years of professional experience as Data Engineer,
able to think analytically and critically, and good at solving problems creatively,
understands projects from the business perspective on an advanced level,
experienced with data understanding and data importing,
experienced with data cleaning and manipulation,
experienced with Spark or corresponding Cloud services like Databricks, AWS Glue, Azure Data Factory or AWS EMR,
familiar with different databases SQL (i.e. PostgreSQL), NoSQL (i.e. MongoDB), Timeseries (i.e. InfluxDB),
experienced with stream processing and message queues (like Kafka or RabbitMQ),
experienced in using data visualization techniques (either tools like PowerBI or Tableau),
experienced with containers (Docker, for example),
excellent English (B2+).
Note : You do not have to be an expert in everything above!
Recruitment Process
CV / portfolio review HR call Interview Decision
Development :
development budgets of up to 6,800 PLN,
we fund certifications e.g. : AWS, Azure, ISTQB, PSM,
access to Pluralsight, Udemy, A Cloud Guru, Safari Books Online and more,
events and technology conferences,
technology Guilds,
internal training,
PGS Library,
PGS Upskill.
We take care of your health :
private medical healthcare,
multiSport card - we subsidise a MultiSport card,
mental Health Support.
We are flexible :
flexible working hours,
relocation bonus up to 15 000 PLN,
B2B or permanent contract,
contract for an indefinite period.