Data Warehouse Engineer

Software Mind

. Analyze, process, and interpret large datasets to generate actionable insights .

Posted 9/18/2026full-timeRemote • Poland, RomaniaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analyzing and processing large datasets to derive actionable insights, with strong proficiency in SQL and experience in cloud-based solutions and data warehouses. Capable of designing data warehouse models and collaborating effectively within cross-functional teams.

Highest-signal resume keywords

SQL ProficiencyData Warehouse ExperienceSnowflake ExperienceCloud-Based SolutionsData Lakehouse Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData TransformationData Warehouse DesignComplex Analytical QueriesVersion Control (Git)Data VisualizationBI Tools (Power BI, Looker)DbtAWS Stack (MWAA, Lambda, SQS, SNS, S3)Data Ingestion

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration SkillsProactive Approach

Industry Keywords

Media IndustryAdvertising Industry

Tech Stack

Tools & technologies

AWSCloudSQL

About the role

Key responsibilities & impact

Analyze, process, and interpret large datasets to generate actionable insights
Develop and maintain ingestion and transformation processes
Design data warehouse models
Work on international projects with leading global clients
Collaborate within cross-functional engineering teams

Requirements

What you’ll need

Commercial experience with cloud-based solutions (at least 1 year)
Commercial experience with data warehouses (at least 2 years)
Experience with Snowflake
Strong proficiency in SQL, including complex analytical queries and data transformations
Understanding of the Data Lakehouse approach
Experience with source version control systems such as Git
Excellent analytical and problem-solving skills
A proactive, open-minded approach to challenges and learning new technologies
Strong communication and collaboration skills
Experience with dbt and the AWS stack (MWAA, Lambda, SQS, SNS, S3) is a plus
Experience with data visualization and BI tools such as Power BI or Looker is a plus
Prior experience in the media or advertising industry is not required

Benefits

Comp & perks

Flexible and remote cooperation options
International projects with leading global clients
Travels related to international projects
Non-corporate atmosphere
Access to language classes
Access to knowledge-sharing initiatives
Access to private healthcare and life insurance
Access to multisport card
Availability and terms of individual benefits may vary depending on the chosen form of cooperation