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.

• Prepare, clean, and transform data to power analytics, reporting,   and data-driven decisions
• Build and optimize data pipelines for seamless data collection, transformation, and distribution across systems
• Integrate and manage diverse databases, enabling smooth access to structured and unstructured data
• Design and maintain scalable data infrastructure that supports analysis and machine learning workflows
• Collaborate with data scientists, analysts, and engineers to deliver impactful insights and data solutions
• Analyze data and create reports and visualizations that uncover trends and guide business decisions
• Continuously grow your skills and stay current with the latest tools, technologies, and industry practices

• 2+ years of experience in Data Engineering
• Strong experience with Python and SQL
• Solid knowledge of Spark/PySpark for distributed data processing
• Experience with AWS services (Glue, S3, Lambda) or Azure Databricks (Delta Lake, ADLS Gen2, Key Vault, DevOps)
• Experience with streaming technologies (Kafka, Flink) would be a plus
• Infrastructure knowledge (Kubernetes, Terraform) would be a plus
• Experience working in an Agile environment (Scrum, Kanban, etc.)
• B2+ English, with experience communicating with English-speaking customers

• 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 medical care with LuxMed
• Kafeteria MyBenefit credits for stores, restaurants, and cafés
• Access to a Multisport membership to stay active
• Glasses reimbursement program
• Referral bonuses for bringing in new talent
• Parental leaves