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BI Engineer (Senior)

BI Engineer (Senior)
B2B21 000 - 27 000 PLN NET
LOCATION + Remote Poland: Katowice, 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

As a BI Engineer, you will design, build, and optimise data solutions that empower business choices. You’ll work with modern BI tools, transform complex data into clear insights, and collaborate with teams across the organisation—potentially within the insurance domain—to develop innovative analytics solutions that drive growth and efficiency.

We are looking for someone who can independently drive communication, build strong stakeholder relationships, and proactively suggest improvements and solutions within the project.

Power BI Advanced
SQL Advanced
Azure Regular
Python Regular
Snowflake Regular
Databricks Regular
Data modeling Regular
Pyspark Basic
Visualization tool (Tableau or Qlik) Nice to have
View available projects
Project
Data Foundation & AI Enablement
Project Scope

We are architecting a modern Data Platform for a fast-scaling client in the Insurance sector. Our work consolidates fragmented legacy systems, organises data from a vast number of sources, and establishes a standardised, governed, and future-proof data foundation.

We aim to unlock the full value of the company’s data, enabling faster, informed decision-making and providing the backbone for business growth and AI readiness.

Tech stack

SQL, Python, Snowflake, dbt, Data modelling, Data quality, Power BI, Azure, Terraform

Challenges

The primary objective is to deliver a robust data foundation and enable AI capabilities for a client that has grown organically. The work focuses on several key areas:

  1. Establishing a production-ready, fully operational Snowflake environment and driving operational excellence.
  2. Translating complex business logic into accurate data models to ensure the platform truly reflects business reality.
  3. Integrating diverse data sources to build reliable data products and comprehensive data dictionaries.
  4. Managing the full Data Engineering and Data Science lifecycle to support production ML and AI experimentation.
  5. Taking ownership from concept to deployment.
  6. Cultivating an engineering mindset by promoting automation, CI/CD, and rigorous standards.
Team

We are building a small (4-6 people), agile, cross-functional team capable of delivering the complete data platform, from initial architecture to production operations.

Roles involved: DevOps, Data Engineer, Snowflake Specialist, MLOps/AI Engineer, Business Analyst (BA). The team will collaborate closely with business stakeholders to ensure effective knowledge transfer and strict alignment with strategic goals.

What we expect in general:

  • 6 years hands on experience in a similar position
  • Strong skills in designing interactive dashboards and translating business needs into actionable insights – Power BI
  • Excellent command of writing complex queries, optimising performance,
    and managing large datasets – SQL
  • Hands-on experience with Azure
  • Experience in data processing, automation, and building scalable data pipelines with Python
    and PySpark
  • Understanding of cloud data warehousing, lakehouse architecture concepts and
    performance optimisation – Databricks, Snowflake
  • Background in data modelling – understanding of various modelling approaches such as star schema and Data Vault, with the ability to design efficient and scalable models
  • Ability to clearly explain technical concepts and collaborate effectively with business stakeholders
  • Strong communication skills are essential for collaborating with stakeholders
  • Knowledge of the insurance domain will be considered a decisive advantage
  • Familiarity with visualisation tools, or other BI platforms, such as Tableau, Qlik, and ThoughtSpot,
    is an advantage

Seems like lots of expectations, huh? Don’t worry! You don’t have to meet all the requirements.
What matters most is your passion and willingness to develop. 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
Training Package
Training Package
Virtusity / in-house training
Virtusity / in-house training
And a lot more!

Apply now

BI Engineer (Senior)

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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 Szlak 49 Street, 31-153 Cracow. 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 Szlak 49 Street, 31-153 Cracow. 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 Szlak 49 Street, 31-153 Cracow, 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 Szlak 49 Street, 31-153 Cracow, 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*.

Anna Goraj-Schuster
Coordinated by
Anna Goraj-Schuster
Talent Acquisition Lead
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BI Engineer (Senior)
B2B21 000 - 27 000 PLN NET
LOCATION + Remote Poland: Katowice, Kielce, Kraków, Wrocław
Apply now
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