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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating production data pipelines, with strong skills in SQL and data modeling. Proficient in designing data quality, governance, and observability systems while effectively collaborating with stakeholders to deliver technical solutions.
Highest-signal resume keywords
Data Pipeline DevelopmentSQL ProficiencyData ModelingCI/CD UnderstandingSnowflake Experience
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 DevelopmentSQL ProficiencyData ModelingAutomated TestingCI/CDData Quality DesignObservability SystemsDistributed SystemsAsynchronous WorkflowsOrchestration Systems
Soft Skills
Verbal CommunicationWritten Communication
Tools & Technologies
SnowflakeDbtFivetranTerraformTypeScriptPython
Industry Keywords
Data GovernanceData QualityData ObservabilityAI ApplicationsData Engineering
Tech Stack
Tools & technologiesDistributed SystemsMatillionPythonSQLTerraformTypeScript
About the role
Key responsibilities & impact- Own and build data features end to end, across data pipelines and services, through production
- Understand data sources and intended uses, and design and evolve clear, maintainable, reusable data models
- Help design and deliver migration from Matillion to a code-driven orchestration and transformation platform
- Build and improve data pipelines and infrastructure, including ingestion, transformation, orchestration, reliability, and production operation
- Work with business and product stakeholders, clients, and vendors to investigate needs and problems and develop practical technical solutions
- Contribute to data quality, governance, observability, and AI-powered data-platform capabilities
- Operate within the horizontal Data Engineering team across business functions
Requirements
What you’ll need- Strong software engineering fundamentals
- Experience building and operating production data pipelines and ingestion systems
- Strong SQL and data modeling skills
- Experience with layered transformation patterns such as raw/staging, intermediate, and curated data models
- Understanding of automated testing, CI/CD, and production observability
- Ability to independently own and deliver complex engineering work through production operation
- Good verbal and written English communication skills
- Hands-on experience with Snowflake, dbt, Fivetran, or other ingestion frameworks is an extra point
- Experience with Terraform, TypeScript, or Python is an extra point
- Experience building distributed systems, asynchronous workflows, or orchestration systems is an extra point
- Experience designing data quality, observability, or governance systems is an extra point
- Experience building development harnesses for coding agents and agentic workflows is an extra point
- Experience developing AI agents or systems providing AI applications access to structured company data is an extra point
Benefits
Comp & perks- Flexible working hours and hybrid work based on a fixed number of in-office days
- A dedicated educational budget to explore new skills and deepen your expertise
- Equipment of your choice
- Knowledge shares
- Additional pension and health insurance
- WFH budget
- An additional budget of 500 EUR to set up your home space
- Dedicated budget for wellness activities such as fitness and yoga
- Continuous education and mentorship
- Team get-togethers