Data Engineer (Expert) in VirtusLab

We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities, and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself!

Project scope

Our client is a NASDAQ-listed company that provides a range of solutions to support Go-To-Market (GTM) strategies. They offer a comprehensive B2B database platform that enables sales and marketing professionals to identify, connect with, and engage qualified prospects effectively.
The core mission of our client is to equip every company with a complete, 360-degree view of their ideal customer, enhancing every phase of their GTM strategy and boosting their success in achieving business targets.

Tech stack

Python, Airflow, Big Query, Snowflake, AWS, GCP, Atlan, GitHub, Terraform, Jenkins, Tableau, Starburst, Trino, Apache Iceberg, Databricks

Challenges

- Delivering business value by creating robust monitoring systems that drive product improvement
- Auditing business products through pain point analysis and KPI verification to enhance performance
- Developing reliable Apache Airflow pipelines to support metrics-driven solutions
- Building an intuitive Metric Data Catalog accessible to all stakeholders
- Optimizing data warehouse architecture for cost-effective, scalable solutions

Team

This team is composed of three Data Engineers from VirtusLab and five Data Engineers from the customer side. The team also includes a Manager and Product Owner.

• Hands-on experience with Python (6+ years as a Data Engineer)
• Expertise in Iceberg Lakehouse architecture using Trino
• Proven experience with data warehouse solutions (e.g., BigQuery, Snowflake)
• Strong background in data modeling, data catalog concepts, data formats and data pipelines/ETL design, implementation and maintenance
• Ability to thrive in an Agile environment, collaborating with team members to solve complex problems with transparency
• Proficient with AWS/GCP cloud services, including: GCS/S3, EMR/Dataproc, MWAA/Composer
• Experience in ecosystems requiring improvements and the drive to implement best practices as long term process
• Experience with data migration from data warehouse solutions (e.g., BigQuery, Snowflake) to cost-effective alternatives is an advantage
• Familiarity with Starburst is a plus
• Experience with Infrastructure as Code practices, particularly Terraform is an advantage

Seems lots of expectations, huh? Don’t worry! You don’t have to meet all the requirements. What matter the most is your passion and willingness to develop. Apply and find out!

We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, alot of self-development opportunities, and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself!

Project scope

Our client is a NASDAQ-listed company that provides a range of solutions to support Go-To-Market (GTM) strategies. They offer a comprehensive B2B database platform that enables sales and marketing professionals to identify, connect with, and engage qualified prospects effectively.
The core mission of our client is to equip every company with a complete, 360-degree view of their ideal customer, enhancing every phase of their GTM strategy and boosting their success in achieving business targets.

Tech stack

Python, Airflow, Big Query, Snowflake, AWS, GCP, Atlan, GitHub, Terraform, Jenkins, Tableau, Starburst, Trino, Apache Iceberg, Databricks

Challenges

- Delivering business value by creating robust monitoring systems that drive product improvement
- Auditing business products through pain point analysis and KPI verification to enhance performance
- Developing reliable Apache Airflow pipelines to support metrics-driven solutions
- Building an intuitive Metric Data Catalog accessible to all stakeholders
- Optimizing data warehouse architecture for cost-effective, scalable solutions

Team

This team is composed of three Data Engineers from VirtusLab and five Data Engineers from the customer side. The team also includes a Manager and Product Owner.