Data Engineer
Czech Republic, Prague
Pipedrive
Pipedrive is the easy-to-use, #1 user-rated CRM tool. Get more qualified leads and grow your business with our sales CRM. Sign up for a 14-day free trial.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!
Your new adventure:
- 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.
Does this sound like you?
- 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
Why Pipedrive?
- 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)
Pipedrive is an equal-opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disablity, sexual orientation, gender identity or veteran status.
#LI-Hybrid #LI-VMUC
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture AWS Azure Computer Science Data pipelines Data warehouse Engineering ETL Flink GCP Google Cloud Kafka Mathematics Pipelines Python React Spark SQL Statistics Tableau
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Medical leave
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