Automotive | Aviation | Manufacturing
Senior
Software Engineering
Tech stack
Python
Databricks
Spark
SQL
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, aviation and manufacturing industries, to build sophisticated Data & Analytics platforms that transform how organizations manage and leverage their data assets. 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.
Responsibilities
- Design and implement a scalable architecture capable of handling the high volume of sensor, telemetry, and simulation data
- Build a flexible data preprocessing pipelines that are extensible and that can be integrated into customer’s existing platform
- Develop and implement processes and best practices for data management and governance
- 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
Requirements
- 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
- Proven experience with the Databricks platform (Azure Databricks or Databricks on AWS), including Unity Catalog and Delta Lake / Lakehouse architecture
- Strong experience with Apache Spark (PySpark), including performance optimization, and large-scale data processing
- Proficiency in Python and SQL for data transformations and analytics workloads
- Experience with data pipeline orchestration
- Experience with data governance and quality frameworks
- Strong problem-solving skills and ability to work independently
- Fluency in English and Polish, both written and spoken
Nice to have
- Data Engineer (Databricks) certificate
- Experience processing high-volume Automotive or IoT data (e.g., telemetry, sensor, or event-based data)
- Experience with streaming tools like Kafka, Azure Event Hubs, or similar
- Experience with Infrastructure as Code (Terraform, CloudFormation)
Recruitment owner
Klaudia Jazowska
Senior Data Engineer (Databricks)
apply now
Benefits
Employee referral
Knowledge platforms
Equipment
Integration activities
Employee referral
Knowledge platforms
Equipment
Integration activities
Lunch & Learn
In-house Tech Up
Language lessons
Lunch & Learn
In-house Tech Up
Language lessons
Conferences & training
Development plan
Feedback sessions
Business travel opportunities
Conferences & training
Development plan
Feedback sessions
Business travel opportunities
Check out the next steps of your recruitment process
Application
Send us your CV through the application form.
HR & technical interview
Let’s talk about your experience and expectations.
Meeting with the Manager
Learn more about the project you could be involved in.
Offer
We’re excited to welcome you onboard! Let’s discuss the details.
Feedback
If you’re not lucky this time, we’ll tell you what you can improve to join us in the future.
