Data Engineer
Description For Data Engineer
Make is revolutionizing the automation landscape as the leading visual platform that enables anyone to design, build, and automate without coding skills. Based in Prague with a global presence, we're seeking a Data Engineer to join our intimate three-person Data Engineering team within the Analytics department. This role combines technical expertise with business acumen, focusing on building robust data pipelines, implementing governance practices, and driving data-driven decisions. The position offers the opportunity to work with modern technologies like AWS, Airflow, and Snowflake while contributing to a rapidly growing company with a diverse, multinational team. We provide comprehensive benefits, including equity, professional development, and work-life balance perks. The ideal candidate will have 3+ years of experience, strong Python and SQL skills, and excellent communication abilities to bridge technical and business perspectives. Join us in shaping the future of automation while working in a collaborative, inclusive environment that values diversity and innovation.
Responsibilities For Data Engineer
- Design, build, and manage robust data pipelines using Airflow
- Contribute to data platform development with custom plugins and operators
- Manage and optimize AWS cloud-based infrastructure
- Implement and manage infrastructure using Terraform
- Translate business needs into data architecture and workflows
- Design and maintain scalable data models
- Build and optimize SQL data models
- Implement data governance practices
- Develop data quality checks and validation frameworks
- Collaborate with cross-functional teams
- Communicate technical concepts to non-technical stakeholders
Requirements For Data Engineer
- 3+ years of experience in data engineering roles
- Proficiency in Python with production-grade coding ability
- Experience with AWS cloud services and Airflow
- Expertise in SQL and analytical data warehouses (Snowflake)
- Strong data modeling skills
- Deep understanding of data governance practices
- Experience with data quality frameworks
- Excellent communication skills
- Project management abilities
- Experience working with business teams
Benefits For Data Engineer
- RSUs grant
- Annual bonus
- Learning & Development plan
- 2 Company Learning Days per year
- 3 Company Impact Days per year
- Notebook/Macbook and 34" curved monitor
- 25 days of vacation
- 4 sick days
- 10 care days
- Extended parental leave (3-6 months)
- RSUs grant for newborn child
- Life insurance
- Benefit Plus Cafeteria (including MultiSport Card)
- Remote working allowance
- Office snacks and meals
- Flexible working hours
- Team buildings and company events
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