AI summary: Senior Data Engineer designs, builds, and maintains scalable data pipelines and systems while collaborating across teams to translate business needs into reliable technical solutions.
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.
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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We’re seeking a Data Engineer who will develop reliable data systems for teams across the company.
If this is something for you, send us your resume (in English) or a link to your LinkedIn profile, and please add why we should pay extra attention to your application.
We may use artificial intelligence (AI) tools to transcribe and summarize interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans. If you would like more information about how your data is processed, please contact us.