• Open positions
  • Get to know us
  • FAQ
Open positions

Data Engineer (Senior)

Data Engineer (Senior)
B2B21 000 - 27 000 PLN NET
LOCATION + Remote Poland: Kielce, Kraków, Wrocław
Apply now

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!

About the role

Design and implement data monitoring pipelines to proactively identify and resolve data quality issues, potentially impacting downstream products.

Build data ingestion & processing pipelines supporting our customer-facing Data Products

Collaborate with stakeholders to define requirements, develop metrics for data pipeline quality, negotiate data quality SLAs on behalf of downstream data product owners, and create monitoring solutions using Python, Spark, and Airflow.

Refine our processes responsible for maintaining data quality and data ingestion to run in a cost/compute-efficient and best practice manner

Innovate and develop new methodologies to enhance access to trustworthy data, accelerating the value provided by the product data team.

Python Advanced
Apache Airflow Advanced
Trino Basic
Apache Iceberg Basic
Apache Spark Regular
SQL Advanced
AWS / GCP Regular
DevOps Regular
Terraform Nice to have
Databricks Nice to have
Starburst Nice to have
English Advanced
View available projects
Project
ZI-DQM - Data Engineering
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, Apache Spark, 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.

What we expect in general

  • Hands-on experience with Python (4+ years as a Data Engineer)
  • 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 in Iceberg Lakehouse architecture using Trino is a plus
  • Familiarity with Starburst is a plus
  • Experience with Infrastructure as Code practices, particularly Terraform is an advantage

Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Moreover, B2B does not have to be the only form of cooperation. Apply and find out!

A few perks of being with us

Building tech community
Building tech community
Flexible hybrid work model
Flexible hybrid work model
Home office reimbursement
Home office reimbursement
Language lessons
Language lessons
MyBenefit points
MyBenefit points
Private healthcare
Private healthcare
Stretching
Stretching
Training Package
Training Package
Virtusity / in-house training
Virtusity / in-house training
And a lot more!

Apply now

Data Engineer (Senior)

"*" indicates required fields

Accepted file types: pdf, Max. file size: 5 MB.
Current recruitment process: For the purpose of recruitment, I hereby give consent as per art. 6.1.a of the GDPR to processing of my personal data (other than that listed in art. 22 [1] § 1 Labour Code) by Virtus Lab Sp. z o. o. (as Co-Controller for a full list of joint controllers, see Privacy Policy) with its headquarters at 23 Zofii Nałkowskiej Street, Rzeszów, 35-211. At the same time I accept the Privacy Policy of the Data Controller. I acknowledge that my personal data will be kept for the duration of the recruitment process and as regards any potential claims, for the period of 36 months maximum, and that I have the right to access this data or have it rectified or deleted on demand. This consent can be withdrawn at any time, but this withdrawal does not make the previous processing illegal*.(Required)*

Current recruitment process: For the purpose of recruitment, I hereby give consent as per art. 6.1.a of the GDPR to processing of my personal data (other than that listed in art. 22 [1] § 1 Labour Code) by Virtus Lab Sp. z o. o. (as Co-Controller for a full list of joint controllers, see Privacy Policy) with its headquarters at 23 Zofii Nałkowskiej Street, Rzeszów, 35-211. At the same time I accept the Privacy Policy of the Data Controller. I acknowledge that my personal data will be kept for the duration of the recruitment process and as regards any potential claims, for the period of 36 months maximum, and that I have the right to access this data or have it rectified or deleted on demand. This consent can be withdrawn at any time, but this withdrawal does not make the previous processing illegal*.

(Required)
Future recruitment processes: I hereby give consent as per art. 6.1.a of the GDPR to the processing of my personal data by Virtus Lab Sp. z o. o. (as Co-Controller for a full list of joint controllers, see Privacy Policy) with its headquarters at 23 Zofii Nałkowskiej Street, Rzeszów, 35-211, in order to use this data in future recruitment processes. I hereby agree to possible storage of my personal data for this purpose in Virtus Lab’s database for a period of 36 months maximum. At the same time I accept the Privacy Policy of the Data Controller. I acknowledge that I have the right to access this data or have it rectified or deleted on demand. This consent can be withdrawn at any point, but this does not make the previous processing illegal*.

Future recruitment processes: I hereby give consent as per art. 6.1.a of the GDPR to the processing of my personal data by Virtus Lab Sp. z o. o. (as Co-Controller for a full list of joint controllers, see Privacy Policy) with its headquarters at 23 Zofii Nałkowskiej Street, Rzeszów, 35-211, in order to use this data in future recruitment processes. I hereby agree to possible storage of my personal data for this purpose in Virtus Lab’s database for a period of 36 months maximum. At the same time I accept the Privacy Policy of the Data Controller. I acknowledge that I have the right to access this data or have it rectified or deleted on demand. This consent can be withdrawn at any point, but this does not make the previous processing illegal*.

Karolina Buraś
Coordinated by
Karolina Buraś
Senior IT Talent Acquisition Specialist
linkedin
Data Engineer (Senior)
B2B21 000 - 27 000 PLN NET
LOCATION + Remote Poland: Kielce, Kraków, Wrocław
Apply now
group of people gathered together
Not sure if this role is right for you?
It doesn't mean that you don't match. Tell us about yourself and let us work on it together.
Contact us
We create and engineer software
Privacy Policy