Data Engineer/Consultant (Senior/Staff)

Data Engineer/Consultant (Senior/Staff)

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

The majority of these roles will be at the forefront of client collaboration and building VL positions in the industry (spearheading projects).
You will work closely and directly with a different specialist from the client side. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics.

You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launch
Your work will also introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible.
Build data ingestion & processing pipelines. All of the above with a strong focus on the customer’s needs.

Flexibility in action and the ability to overcome obstacles are highly valued in this role.

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:

• Establishing a production-ready, fully operational Snowflake environment and driving operational excellence.

• Translating complex business logic into accurate data models to ensure the platform truly reflects business reality.

• Integrating diverse data sources to build reliable data products and comprehensive data dictionaries.

• Managing the full Data Engineering and Data Science lifecycle to support production ML and AI experimentation.

• Taking ownership from concept to deployment.

• 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.

A few perks of being with us

• Building tech community

• Flexible hybrid work model

• Home office reimbursement

• Language lessons

• MyBenefit points

• Private healthcare

• Training Package

• Virtusity / in-house training

And a lot more!