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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing data pipelines and models using Python, SQL, and cloud technologies like GCP and Snowflake. Proficient in data warehousing, BI migrations, and ensuring data quality while collaborating with cross-functional teams to deliver impactful analytical solutions.
Highest-signal resume keywords
Data Engineering ExperienceAdvanced Python ProficiencyStrong SQL SkillsExperience with dbtGCP (BigQuery) Expertise
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DesignData ModelingComplex Data TransformationsETL/ELT ProcessesData Architecture Best PracticesData Quality AssuranceAnalytical Dataset DevelopmentQuery OptimizationBI Tool ProficiencyWorkflow Orchestration
Soft Skills
Analytical SkillsProblem-Solving SkillsCollaborationIndependent WorkCommunication Skills
Tools & Technologies
GCPSnowflakeDbtLookerOmniPower BITableauApache AirflowGitCI/CD Pipelines
Industry Keywords
Data EngineeringAnalytics EngineeringData WarehousingFintechSaaSCommercial AnalyticsCRM SystemsData GovernanceA/B TestingAI-Ready Data Solutions
Tech Stack
Tools & technologiesAirflowApacheBigQueryCloudETLGoogle Cloud PlatformPythonSnowflakeSQLTableau
About the role
Key responsibilities & impact- Design, develop, and optimize data pipelines and data models using modern cloud technologies
- Build and maintain dbt models and complex data transformations using Python and SQL
- Support data warehouse modernization, BI migrations, and integration of multiple data sources
- Develop analytical datasets and reporting solutions to support business decisions
- Ensure data quality, testing, monitoring, and documentation
- Collaborate with engineering teams, analysts, and business stakeholders to deliver scalable data solutions
- Work on international data engineering and analytics projects
- Refactor data models and support migrations between BI platforms such as Looker and Omni
- Develop and optimize data models for CRM migrations and integrations such as HubSpot
- Build analytical solutions for customer acquisition, retention, churn, revenue, and business performance
- Improve data reliability, implement semantic layers, and enable accessible analytics and AI-ready datasets
Requirements
What you’ll need- 3+ years of commercial experience in Data Engineering or Analytics Engineering
- Strong hands-on experience with GCP (BigQuery) and Snowflake
- Advanced proficiency in Python and SQL, including complex data transformations, data processing, and query optimization
- Strong practical experience with dbt, including developing, testing, and optimizing data models
- Solid understanding of data warehousing, data modelling, ETL/ELT processes, and data architecture best practices
- Hands-on experience with BI and reporting tools such as Looker, LookML, Omni, Power BI, or Tableau
- Experience with workflow orchestration tools such as Apache Airflow or equivalent solutions
- Experience with Git, CI/CD pipelines, code reviews, and automated testing
- Good understanding of data quality, monitoring, and data governance practices
- Strong analytical and problem-solving skills, with the ability to work independently and collaborate with business stakeholders
- Excellent English communication skills (C1 minimum)
- Knowledge of CRM systems such as HubSpot or Salesforce is a plus
- Experience with semantic layers, BI migrations, or data warehouse refactoring is a plus
- Background in fintech, SaaS, or commercial analytics is a plus
- Familiarity with A/B testing, product analytics, or AI-ready data solutions is a plus
- Eligibility to work in the EU
Benefits
Comp & perks- Work in a supportive team of AI & Big Data enthusiasts
- International projects with global enterprises and startups
- Flexible work arrangements, including remote work or modern offices and coworking spaces
- Career paths and professional growth opportunities
- Knowledge-sharing initiatives
- Language classes
- Sponsored training and conferences
- Industry-leading training materials and certifications through partnerships with Databricks and Anthropic
- Team-building events
- Integration budget
- Work anniversary, birthday, and milestone celebrations
- Medical and sports packages
- Eye care
- Well-being support services, including psychotherapy and coaching
- Full work equipment, including a laptop and other necessary devices
- Opportunities to speak at conferences, write for the company blog, and participate in meetups
- Dedicated onboarding buddy
- Friendly, supportive, and autonomous culture