Data Engineer

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 design and build data pipelines, models and prepare data sources for visualization tools like Tableau in our Tallinn office. In this role, you will get a chance to work with our awesome data engineering team with cutting-edge technologies (Apache Spark, Kafka, Flink, Airflow) where the main goal is to understand business questions/problems and provide answers via analytical models. We run thousands of data processing tasks every day. Our platform is an AWS cloud and we are processing dozens of terabytes of data daily with scalable distributed clusters. You’ll have the opportunity to grow professionally, acquire new skills, and make an impact. If you’re someone who can see yourself in this description, we’d love to meet you!

• Design, implement, document, and visualize reusable analytical models.
• Develop and deploy developed data solutions. Monitor for possible errors and performance issues. Detect, analyze, and fix code and data defects.
• Discover needs and analyze requirements from internal customers.
• Assist internal customers in using the Data Warehouse (DWH) efficiently.
• Follow and help improve the ETL development processes and team's best practices. Learn and promote the tribe's best practices.
• Lead system design and architecture initiatives across the team.
• Perform code reviews and provide quality feedback to peers.
• On-board new developers to the tribe.
• Be on-call when it’s your turn, react to alerts, and resolve production incidents.

• At least 3 years of engineering experience (preferably in Python)
• Hands-on experience with building and maintaining production-grade data pipelines
• Experience with distributed data processing systems (e.g., Apache Spark, Apache Flink)
• Familiarity with cloud computing technologies (e.g., Amazon AWS, Microsoft Azure, or Google Cloud Platform)
• Experience with SQL and data modeling
• Knowledge of modern data stack tools and trends in the Data industry
• Excellent communication and writing skills
• Familiarity with agile methodologies
• BSc or MSc in computer science, mathematics, statistics (or similar), or comparable relevant experience

• A value-driven work environment where people come first 
• A lively bunch of colleagues from over 50 different countries, with offices in Prague, Tallinn, Tartu, Lisbon, London, Dublin, New York, Florida, Riga and Berlin
• A team serious about getting things done while not taking ourselves too seriously
• Freedom to execute your ideas with a passionate and motivated team supporting you
• A place in our new and custom-designed Prague office (free sauna included)
• Flexible working hours as long as you’re there for your team members
• Lots of room for personal and career development with internal and external training opportunities
• Competitive salary including all the benefits you’d expect from a great employer (25 days of vacation + 5 health days per year, private medical care, meal allowance for each workday in the Prague office, a monthly contribution for sports, books,  and entertainment via the Benefitka card, 365-day Prague public transport ticket, paid sick leave days, retirement fund savings and extra vacation days as a tenure benefit) 

We’re on the lookout for a data engineer to be a part of the designing and building of a next-generation data warehouse in our data engineering team.

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.