Working Student contributing to data engineering projects for AI/ML workflows while gaining hands - on experience with data pipelines and tools.
About the role
- Data Engineer responsible for designing and maintaining data pipelines at Pipedrive. Collaborating across teams to optimize data processing and insights for business operations.
Responsibilities
- Build and maintain data integrations and pipelines (ETL/ELT, APIs, webhooks, event streams, etc.).
- Design and implement reusable analytical models (using dbt, PySpark, and other modern tools).
- Work with teams across the company to identify data opportunities to drive impact, understand their needs, and help them get the most out of our Data Platform.
- Monitor and improve production data solutions, resolving issues proactively and during on-call rotations.
- Contribute to frameworks that make data processing more efficient and speed up insights.
- Contribute to engineering best practices through code reviews, design discussions, and knowledge sharing.
Requirements
- 3+ years of engineering experience, ideally with Python.
- Proven experience building and maintaining production-grade data pipelines.
- Experience with distributed data systems (like Spark or Flink) and cloud platforms (ideally AWS).
- Strong SQL and data modelling skills.
- Hands-on experience with the modern data stack (dbt, orchestration tools, etc.) and awareness of industry trends.
- Experience in at least one business domain, such as Customer, Marketing, or Finance.
- A clear communicator who enjoys working with others in an agile setup.
- A degree in Computer Science, Math, Statistics, or equivalent practical experience.
Benefits
- People-first culture - Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork.
- Unlock potential – Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision.
- Your well-being matters. Enjoy flexible hours, wellness perks, and SWAG.
- Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people.
- Grow with us – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core.
- Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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