data engineer for AI-driven data infrastructure
Summary
Build, optimize, and maintain scalable ETL/ELT data pipelines and cloud-native data architectures (AWS Glue/S3/Lambda or Azure Databricks) using Python, SQL, and Spark/PySpark, turning business needs into data solutions with dashboards and reporting. On-site role in Warsaw at a global engineering partner serving tech leaders and startups.
Описание
Vension 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.
Задачи
- 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.
Требования
- 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.
Условия
- 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.