Data Engineer (Krakow/Wroclaw/Warsaw, Poland)
Summary
Build and maintain data pipelines and distributed systems in Python, using Spark, Databricks, and Snowflake to deliver AI and analytics solutions for clients.
About You
As a member of agile project teams, your mission will be to build solutions and infrastructure aiming at solving the business problems of our clients.
- You are a proficient software engineer who knows the fundamentals of computer science and you master the Python programming language.
- You know how to write distributed services and work with high-volume heterogeneous data, preferably with distributed systems such as Spark.
- You have experience working with cloud data platforms (Databricks or Snowflake preferred)
- You are knowledgeable about data governance, data access, and data storage techniques.
- You have strong client-facing skills: comfortable interacting with clients (business & technical audience), delivering presentations, problem-solving mindset.
- You are willing to travel to meet with our clients and the team (mainly in Europe - up to 10% of your time).
- You are eligible to register as a sole trader (self-employment) in Poland.
What You’ll Do
- Design, build, maintain, and troubleshoot data pipelines and processing systems that are relied on for both production and analytics applications, using a variety of open-source and closed-source technologies.
- Help drive optimization, testing, and tooling to improve data quality.
- Collaborate with other software engineers, ML experts, and stakeholders, taking learning and leadership opportunities that will arise every single day.
- Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
What we offer
- Opportunity to shape the expansion of leading Swiss data & AI consultancies
- Compensation package including base salary, yearly bonus based on the both individual + company performance
- Above the norm flexibility regarding when and from where you work as long as both client and internal commitments are met
- Work on cutting-edge data, AI & analytics topics (e.g., Generative AI) that have real impact across industries
- Dedicated time and budget for training and pro-bono projects
- 30 paid days off
- Private health care and Multisport
- Cross offices/company-wide frequent events (off-site or online) as well as quarterly budget to spend with the team on after-work activities