Vention is a global engineering partner to tech leaders and fast-growing startups, combining 20+ years of product development expertise with an AI-first approach and a reputation for reliable delivery. 

With 150+ data engineers and over 20 years of experience, we help startups and enterprises turn data into smart decisions and better user experiences. Our teams work with Python, Java, Scala, and R to build scalable data pipelines and infrastructure that power real results.

• Design, own, and govern data models across the Bronze, Silver, and Gold layers of a modern Medallion Architecture
• Define and enforce data modelling standards, including Star Schema, Data Vault, and hybrid approaches where appropriate
• Lead the design of scalable semantic and Gold-layer models supporting BI, analytics, and product-driven use cases
• Evaluate and implement best-practice data modelling patterns in DBT to ensure maintainability, reusability, and scalability
• Own entity relationship modelling and ensure consistency of core business entities across the data platform
• Create and maintain data architecture blueprints, platform documentation, and end-to-end data flow diagrams
• Establish and drive data governance standards, including naming conventions, data classification, metadata management, and lineage
• Partner with engineering teams to ensure architectural decisions are practical, efficient, and aligned with business goals
• Assess new data sources and define optimal ingestion, transformation, and modelling strategies
• Champion data quality initiatives and act as a key reviewer for major platform and data model changes
• Collaborate closely with Data Analysts, BI teams, Product Managers, and business stakeholders to understand data consumption needs
• Translate complex business requirements into robust and scalable data models
• Present architectural decisions and recommendations to both technical and non-technical audiences
• Mentor and guide engineers on data architecture and modelling best practices
• Ensure data models accurately represent real-world business processes across operational systems such as CRM, payment processing, access control, and analytics platforms

• 6+ years of experience in Data Architecture, Data Engineering, or related data platform roles
• Strong expertise in data modelling, dimensional modelling, and modern data warehousing concepts
• Hands-on experience with Databricks, DBT, Azure, SQL, Python, and GitHub
• Proven experience designing scalable data platforms and analytics architectures
• Deep understanding of Medallion Architecture and best practices for data lakehouse environments
• Strong knowledge of data governance, metadata management, lineage, and data quality frameworks
• Experience translating business requirements into technical data solutions
• Excellent stakeholder management and communication skills, with the ability to explain complex technical concepts to diverse audiences
• Experience mentoring engineers and driving architectural standards across teams
• Strong analytical and problem-solving skills with a pragmatic approach to decision-making
• Upper-Intermediate English (B2+) or higher

• EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
• Licenses for AI tools: GitHub Copilot, Cursor, and others
• Private health insurance (medical and dental care services included)
• 25 paid working days/year for work-life balance
• Support for the significant events in your life
• Access to the Multisport program for a healthy lifestyle
• Referral bonuses for bringing in new talent