[C3T] Data Warehouse Engineer
Software Mind · Warsaw, Masovian Voivodeship, Poland · posted Sep 11, 2026
Open to candidates in Poland
What this role actually asks for
Extracted by RemoteHuntMust have
- •Commercial experience with cloud-based solutions (at least 2 years)
- •Commercial experience with data warehouses (at least 1 year)
- •Strong proficiency in SQL
- •Understanding of the Data Lakehouse approach
- •Experience with source version control systems (Git)
Nice to have
- •Familiarity with Snowflake, dbt, and the AWS stack
- •Experience with data visualization and BI tools
Tools and technologies
The full posting
Company Description
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Job Description
Project – the aim you’ll have We are looking for a proactive and analytical DWH Engineer who is eager to take on new challenges and think outside the box. The ideal candidate will have a commercial experience in datawarehouse and cloud areas, with additional experience in AWS and PowerBI being a plus.
Prior experience in the media or advertising industry is not required; we value curiosity and a willingness to learn. Position – how you’ll contribute Analyze, process, and interpret large datasets to generate actionable insights Develop and maintain ingestion and transformation processes Design data warehouse models
Qualifications
Expectations – the experience you need Commercial experience with cloud-based solutions (at least 2 years) Commercial experience with data warehouses (at least 1 year) Strong proficiency in SQL (including complex analytical queries and data transformations) Understanding of the Data Lakehouse approach Experience with source version control systems (Git) Familiarity with Snowflake, dbt, and the AWS stack (MWAA, Lambda, SQS, SNS, S3) is an advantage Experience with data visualization and BI tools (such as Power BI or Looker) is a plus Excellent analytical and problem-solving skills A proactive, open-minded approach to challenges and learning new technologies Strong communication and collaboration skills
Additional Information
Our offer – professional development, personal growth Flexible employment and remote work International projects with leading global clients International business trips Non-corporate atmosphere Language classes Internal & external training Private healthcare and insurance Multisport card Well-being initiatives
Is this one actually worth your time?
RemoteHunt scores every remote job 0–100 against your own resume, so you apply to the handful that fit instead of the hundred that don't. Free plan, no card required.