Data Engineer

As a Data Engineer at Pipedrive, you're tasked with designing, implementing, documenting, and visualizing reusable analytical models. This includes developing and deploying data solutions while monitoring for performance issues. You'll analyze requirements from internal customers, help them effectively use the Data Warehouse, and lead system design initiatives within the team.

To qualify for the Data Engineer role at Pipedrive, you should have at least 3 years of engineering experience, preferably in Python. Hands-on experience with building and maintaining production-grade data pipelines, as well as familiarity with distributed data processing systems like Apache Spark and Apache Flink, is essential. A BSc or MSc in fields such as computer science, mathematics, or statistics is also needed.

Yes, familiarity with cloud computing technologies, particularly Amazon AWS, is important for a Data Engineer at Pipedrive. You'll be working on a platform utilizing scalable distributed clusters in the cloud, so a solid understanding of cloud services is beneficial.

In your role as a Data Engineer at Pipedrive, you'll utilize a modern data stack and work with tools such as Apache Spark, Kafka, Flink, and Airflow, along with visualization tools like Tableau. A good grasp of SQL and data modeling will also be crucial for your success in this position.

The team culture for Data Engineers at Pipedrive is lively and inclusive, with colleagues from over 50 different countries. The environment emphasizes getting things done while having a good time, allowing for creative freedom and collaboration. You will be part of a passionate, motivated team that encourages innovation.

Absolutely! Pipedrive provides ample opportunities for personal and career development, including internal and external training programs aimed at enhancing your skills as a Data Engineer. You will also have the chance to lead design initiatives and mentor new team members, further contributing to your professional growth.

As a Data Engineer at Pipedrive, you will enjoy a competitive salary along with generous benefits including 25 vacation days, 5 health days, private medical care, a meal allowance, and contributions towards sports, books, and entertainment. Additionally, you’ll receive a public transport ticket, paid sick leave, and retirement fund savings, making for a rewarding work experience.

Share specific projects where you've designed and developed data pipelines, detailing the tools and technologies you've used. Highlight any challenges you faced and how you overcame them, showcasing your problem-solving skills.

Describe the methods you employ to maintain data quality, such as data validation checks, error logging, and continuous monitoring. Share examples of how you’ve identified and resolved data quality issues in previous projects.

Discuss the tools you've worked with, such as Apache Spark or Flink, and explain why you prefer them. It's an opportunity to express your familiarity with the modern data stack and your approach to selecting the right tools for a given task.

Illustrate your methodology for learning about new technologies. This might include online courses, hands-on experimentation, or leveraging community resources. Mention any specific technologies you've learned recently and how you've applied them.

Talk about your experience with specific cloud services you've utilized for data engineering. Detail your experience with AWS and how you've leveraged its features for data processing and storage.

Provide a specific example of how you've contributed to improving team efficiency or best practices. This could relate to code reviews, documentation, or developing automated processes aimed at boosting productivity.

Share your strategies for time management and prioritization in high-pressure situations. Provide examples of past projects where you successfully navigated deadlines while maintaining quality.

Emphasize the importance of communication, particularly in a collaborative environment. Discuss scenarios in which effective communication helped advance a project or resolve an issue within your team.

Discuss the resources you utilize to keep yourself informed about trends in the data engineering field such as blogs, webinars, social media groups, or community events. Mention any particular trends that you find particularly interesting.

Share your motivations for applying to Pipedrive, such as their focus on innovation, team culture, or growth opportunities. Connect your skills and aspirations to what you understand about the company’s vision and values.