data engineer for AI-driven data infrastructure

Vention is a global engineering partner to tech leaders and fast-growing startups, combining product development expertise with an AI-first approach and reliable delivery. Its data engineering teams build scalable data pipelines and infrastructure that support smarter decisions and better user experiences.

• Build, optimize, and maintain scalable ETL/ELT pipelines in cloud environments;
• Integrate and manage diverse datasets, ensuring accessibility and quality for analytics and machine learning;
• Design and maintain cloud-native, high-performance data architectures that scale with business needs;
• Collaborate with cross-functional teams to translate business requirements into efficient data solutions;
• Analyze data and create dashboards, reports, and visualizations to uncover trends and support decision-making;
• Stay up-to-date with cloud data technologies and industry best practices, bringing innovation to the data ecosystem.

• 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, including Glue, S3, and Lambda, or Azure Databricks, including Delta Lake, ADLS Gen2, Key Vault, and DevOps;
• Experience working in an Agile environment, such as Scrum or Kanban;
• English at B2+ level and experience communicating with English-speaking customers;
• Nice to have: experience with streaming technologies such as Kafka and Flink, infrastructure knowledge of Kubernetes and Terraform.

• Private medical care with LuxMed;
• Kafeteria MyBenefit credits for stores, restaurants, and cafés;
• Access to a Multisport membership;
• Glasses reimbursement program;
• Referral bonuses for bringing in new talent;
• EDU corporate community with tech communities, interest clubs, events, an R&D lab, a knowledge base, and a dedicated AI track;
• Licenses for AI tools, including GitHub Copilot and Cursor.