Senior Data Engineer
Summary
Senior Data Engineer building and maintaining scalable ETL/ELT pipelines on AWS/Azure cloud platforms, designing cloud-native data architectures (Data Lake, Data Lakehouse, Data Warehouse), and developing distributed Spark/PySpark processing solutions to support analytics and ML use cases.
- Build, optimize, and maintain scalable ETL/ELT pipelines using cloud platforms
- Integrate and manage diverse data sources, ensuring data quality, reliability, and accessibility for analytics and ML use cases
- Design and maintain cloud-native data architectures (Data Lake, Data Warehouse, Data Lakehouse) that scale with business needs
- Develop data processing solutions using Spark / PySpark in distributed environments
- Collaborate with cross-functional teams to translate business requirements into efficient, scalable data solutions
- Support analytics use cases by enabling data consumption for reporting, dashboards, and visualization tools
- Stay up to date with modern data platform technologies and best practices, contributing to continuous improvement of the data ecosystem
- 4+ years of experience in Data Engineering, delivering end-to-end data solutions
- Strong hands-on experience with Python and SQL
- Solid expertise with Apache Spark / PySpark for distributed data processing
- Hands-on experience with AWS (Glue, S3, Athena, QuickSight) or Azure (Data Factory, Databricks, ADLS)
- Good understanding of modern data architectures: Data Lake, Delta Lake, Data Warehouse
- Experience working in an Agile environment (Scrum, Kanban, etc.)
- English B2+, comfortable communicating with English-speaking customers
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.
- 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