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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 developing high-performance data pipelines and cloud-native architectures, with strong proficiency in Python, SQL, and Terraform. Capable of collaborating with stakeholders to translate business requirements into effective data solutions while promoting best practices in data engineering.
Highest-signal resume keywords
Data EngineeringPython DevelopmentSQL DevelopmentTerraformCloud Services
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 DevelopmentData Quality ProcessesCloud-Native ArchitectureInfrastructure as CodeIntegration PipelinesAI Systems PreparationSoftware Engineering MindsetOrchestration Tools
Soft Skills
Proactive ApproachCollaboration
Tools & Technologies
Google Cloud PlatformSnowflakeAWSAzureCloud ComposerDataiku
Certifications & Qualifications
Engineering DegreeMaster's Degree in Computer Science
Industry Keywords
Data PlatformsConsulting ExperienceTechnical DebtContinuous Improvement
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonSQLTerraform
About the role
Key responsibilities & impact- Design, architect, and develop high-performance data pipelines
- Develop Data Quality processes
- Implement robust cloud-native architectures
- Build infrastructure as code using Terraform
- Develop integration pipelines to industrialize the deployment of data platforms
- Use coding assistants and LLMs to accelerate development, generate boilerplate code, and optimize algorithms
- Prepare the data foundations required to feed AI systems
- Collaborate with Product Owners and Product Managers to translate business requirements into data architectures
- Participate in internal Guilds, promote best practices, monitor technology trends, and create reusable assets
- Work under the guidance of a Lead who ensures the overall quality of delivery
Requirements
What you’ll need- Engineering degree or Master's degree in computer science, software development, applied mathematics, or a related field
- Experience in data engineering, with demonstrated expertise in deploying scalable data platforms
- Experience in a consulting firm is a plus
- Strong Python and SQL development skills
- Experience with cloud services, preferably Google Cloud Platform, or with Snowflake, AWS, or Azure
- Proficiency in Infrastructure as Code concepts, particularly Terraform
- Proficiency in orchestration using tools such as Cloud Composer or Dataiku
- Strong understanding of AI and experience using development assistance tools
- Strong Software Engineering mindset applied to the data domain
- Proactive approach, with the ability to anticipate technical debt and propose continuous improvements
Benefits
Comp & perks- Work-life balance, including managed working hours and measures to support parenthood
- An internal School offering ongoing training and certification on a range of tools
- Flexible remote-working policy
- Equipment for remote work, plus a monthly remote-work allowance
- Frequent team-building events
- WellPass membership (formerly GymLib)
- Activities offered through the Works Council (CSE), including themed evenings, events at the office, and a ski weekend
- Sustainable mobility allowance for employees who commute by bicycle or scooter