We’re looking for a Senior Data Engineer to work as part of a team responsible for designing, implementing, and optimizing robust data pipelines that process high-volume manufacturing data, ensuring that data remains reliable, accurate, and readily available.
Responsibilities:
- Lead the technical design and implementation of a scalable, cost-efficient data platform for Machine Learning and analytics use cases, using both batch and streaming approaches
- Build, deploy, and maintain reliable ETL/ELT pipelines for processing large-scale, high-velocity data from various industrial sources such as IoT sensors and manufacturing execution systems
- Design and implement both logical and physical data models for the data warehouse
- Define and enforce standards for data quality and governance across all pipelines
- Assess and select suitable data technologies and tools to meet business and technical requirements, including components from the Microsoft Azure data ecosystem
Requirements:
- 7+ years of hands-on data engineering experience, with a strong track record in building and operating data platforms and pipelines in cloud environments
- Extensive practical experience designing and implementing scalable data processing workflows
- Mandatory professional experience with Azure Databricks, including Delta tables, Lakebase, and Lakehouse architectures
- Solid experience with modern streaming tools such as Kafka and MQTT for real-time data ingestion
- Strong familiarity and professional experience with Microsoft Azure data services, such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure Data Factory
- Strong expertise in data modeling, data warehousing, and data governance principles
- Proven ability to design data platforms that support both large-scale analytics and Machine Learning workloads
- Excellent communication skills
- Extensive experience working in international, cross-functional teams
- English level – Upper-Intermediate or higher
Will be a plus:
- Experience working with industrial or manufacturing data sources
- German language skills
We offer:
- Remote-first work model with flexible working hours (we provide all equipment)
- Comfortable and fully equipped offices in Lviv and Rzeszów
- Competitive compensation with regular performance reviews
- 18 paid vacation days per year + all state holidays
- 12 days of paid sick leave per year without a medical certificate + extra paid leave for blood donation
- Health & wellness support: either a monthly budget for medical insurance and sports activities, or a full medical insurance plan, depending on your cooperation model
- English, German, and Polish language courses
- Corporate subscription to learning platforms, regular meetups and webinars
- Friendly team that values accountability, innovation, teamwork, and customer satisfaction
- Inclusive environment where everyone feels valued and treated equally. We proudly partner with VeteranHub to support Ukrainian veterans
- We are committed to supporting Ukraine and actively participate in charity initiatives