Job description
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!
Requirements
Full job description: Data Engineer/Consultant
About the role
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 introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible.
You will adhere to and actively promote engineering best practices, data governance standards, and the use of open standards. Build data ingestion & processing pipelines. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics.
Required skills:
Python (Advanced)
Databricks/Snowflake (Advanced)
data engineering (Advanced)
Strong communication skills are essential to collaborate with stakeholders (Advanced)
SQL (Regular)
Azure/AWS/GCP (Regular)
Airflow or other orchestration tool (Regular)
dbt (nice to have)
data modelling (nice to have)
LLM productivity tools like Cursor/Claude Code (nice to have)
Knowledge of the insurance domain will be considered a strong advantage (nice to have)
What we expect in general:
Hands-on experience with Python
Proven experience with data warehouse solutions (e.g., BigQuery, Redshift, Snowflake)
Experience with Databricks or data lakehouse platforms
Strong background in data modelling, data catalogue 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
Experience with AWS/GCP/Azure cloud services, including: GCS/S3/ABS, EMR/Dataproc, MWAA/Composer or Microsoft Fabric, ADF/AWS Glue
Experience in ecosystems requiring improvements and the drive to implement best practices as a long-term process
Experience with Infrastructure as Code practices, particularly Terraform, is an advantage
Proactive approach
Familiarity with Spark is a plus
Familiarity with Streaming tools is a plus
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!
Highlights
Join our team as a Data Engineer and deliver cost-effective data migrations while implementing best practices in cutting-edge data architectures!
Originally posted on Himalayas
Who can apply
Eligible countries: Australia, Canada, France, Germany, United Kingdom, United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC+0, UTC+1, UTC+8, UTC+8.75, UTC+9, UTC+9.5, UTC+10, UTC+10.5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.