Senior Data Engineer; AWS

At Grape Up, we transform businesses by unlocking the potential of AI and data through innovative software solutions.

We partner with industry leaders, from the automotive and manufacturing industries, to build sophisticated Data & Analytics platforms that transform how organizations manage and leverage their data assets. As an AWS Partner, we frequently deliver solutions built on the AWS ecosystem, though our data engineers work across cloud platforms as project needs require. Our solutions provide comprehensive capabilities spanning data storage, management, advanced analytics, machine learning, and AI, enabling enterprises to accelerate innovation and make data-driven decisions.

• Design and implement a scalable architecture capable of handling the high volume of Automotive and IoT data (e.g. telemetry, sensor, and simulation data)
• Build a flexible data preprocessing pipelines that are extensible and that can be integrated into customer’s existing platform
• Optimize and enhance system setup and improve data structures following industry best practices
• Collaborate effectively with data engineering team members while partnering closely with analytics and data science teams to meet user needs
• Collaborate with business stakeholders and technical teams to understand data requirements, translate business needs into technical solutions

• Master’s degree in computer science, Data Engineering, AI, or a related field
• 5+ years of professional experience in Data Engineering and Big Data, building production-grade data platforms and pipelines
• Strong experience with Apache Spark (PySpark), including performance optimization, and large-scale data processing
• Proven experience with AWS data engineering stack (e.g., S3, Glue, Athena Amazon EMR)
• Proficiency in Python and SQL for data transformations and analytics workloads
• Experience with Infrastructure as Code (Terraform, Cloud Formation)
• Experience with data pipeline orchestration
• Strong problem‑solving skills and ability to work independently
• Fluency in English and Polish, both written and spoken

• Databricks experience (Unity Catalog, Delta Lake and Lakehouse architecture)
• Data Engineer certificate (AWS or Databricks)
• Experience processing high-volume Automotive or IoT data (e.g., telemetry, sensor, or event-based data)
• Experience with streaming tools like Kafka, Kinesis or similar

• Lunch & Learn
• In-house Tech Up
• Conferences & training
• Feedback sessions
• Business travel opportunities