Senior Data Engineer responsible for building and optimizing data pipelines for banking analytics initiatives. Collaborating with data teams to ensure data quality and readiness for enterprise use.
About the role
- Senior Data Engineer designing and scaling advanced data platforms for 5G and future 6G innovations at Nokia. Building robust data pipelines while collaborating with Data Scientists and Engineers in a hybrid setting.
Responsibilities
- Design, implement, and own scalable, reliable data pipelines supporting machine learning and analytics use cases
- Define and evolve data architecture, ensuring high data quality, consistency, and availability across systems
- Lead complex data transformations, including cleaning, aggregation, enrichment, and feature engineering for ML workloads
- Optimize data processing and storage solutions for performance and cost efficiency, including effective use of GPU resources
- Collaborate closely with Data Scientists, SW Engineers, and System Architects to align data solutions with modeling and product needs
- Drive technical decisions and best practices, contributing to architecture reviews, design discussions, and test strategies
- Mentor and support less experienced engineers, promoting high engineering standards and knowledge sharing
- Identify and proactively resolve technical risks and bottlenecks in data and ML workflows
Requirements
- Several years of hands-on experience as a Data Engineer or similar position in production-grade environments
- Strong proficiency in Python, with solid software engineering practices
- Proven experience in designing and maintaining large-scale data pipelines and data platforms
- Deep understanding of data transformation, enrichment, and feature preparation for machine learning use cases
- Experience working closely with Data Scientists and SW Engineers in end-to-end ML workflows
- Very good English skills, both written and spoken
- A proactive mindset with strong ownership, problem-solving, and collaboration skills
- It would be nice if you also had:
- Knowledge of 5G networks, especially the physical layer and performance-related aspects
- Experience with GPU-accelerated data processing or high-performance computing environments
- Familiarity with ML model development, deployment, and optimization
- Experience in technical leadership, including mentoring or leading complex initiatives
- Exposure to cloud-native data architectures and cost optimization strategies
Benefits
- hybrid work arrangement
Job title
Job type
Experience level
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Not specified
Degree requirement
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