We believe it takes great people to create a great product. That’s why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data, and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia.
We’re looking for a Data Engineer to help us build and evolve the data foundations that power decision-making across Pipedrive.
In this role, you’ll work on designing and maintaining data systems, pipelines, and architecture that enable teams across the company to access reliable, high-quality data. You’ll collaborate closely with engineers, product managers, analysts, and business stakeholders, helping translate real-world needs into scalable technical solutions.
This is a great opportunity for someone who enjoys solving complex data problems, working across teams, and improving how data platforms operate at scale.
Design, build, and maintain scalable data pipelines and systems that support business and product use cases
Drive the evolution of data architecture to ensure scalability, reliability, and cost-efficiency
Lead and deliver data initiatives that span multiple systems and teams
Improve data quality, observability, testing, and overall platform performance
Identify gaps in existing systems and implement improvements that increase platform effectiveness
Collaborate with engineering, product, and business teams to translate needs into practical data solutions
Contribute to technical direction and support planning within the data domain
Share knowledge and support other engineers through mentoring and collaboration
Strong experience building and operating data systems in production environments
Solid SQL skills and a good understanding of data modelling
Proficiency in programming (e.g. Python)
Experience working with distributed data processing tools (e.g. Spark, Flink)
Hands-on experience with modern data tools (e.g. dbt, orchestration frameworks)
Understanding of data architecture, data quality, and observability
Proven ability to lead complex technical initiatives end-to-end
Strong problem-solving skills and the ability to work across multiple systems
Ability to collaborate with different stakeholders and contribute to technical decisions
Deep experience working with cloud platforms (e.g. AWS) at scale
Experience with streaming or real-time data systems
Experience driving organisation-wide engineering practices
Familiarity with AI-assisted development tools
People-first culture - Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome
Unlock potential – Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change
We’ve got you – 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. We grow together through trust and accountability
Packed with purpose – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work
Based on this role's access to certain data, Pipedrive might conduct a pre-employment background investigation in conjunction with your application for employment with our company. Such data will be handled in accordance with Pipedrive's Privacy Policy for Recruitment.
Pipedrive is an equal opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disability, sexual orientation, gender identity or veteran status.
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