O pozici
Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing.
Co budeš dělat
- Own and deliver complex, end-to-end data platform capabilities from ingestion and processing through publishing.
- Act as a senior technical contributor for the data layer, influencing architecture decisions and ensuring alignment across multiple products.
- Design and evolve highly scalable, reliable, and observable data pipelines.
- Lead resolution of complex technical problems, including performance bottlenecks, data quality issues, and production incidents.
- Maintain strong engineering standards for pipeline development, including design patterns, testing strategies, documentation, and operational excellence.
- Drive reduction of technical debt, balancing short-term delivery needs with long-term platform health and sustainability.
- Partner closely with Product Managers and Data Scientists to translate ambiguous business and analytical needs into clear, durable technical solutions.
- Mentor and support other engineers through code reviews, design discussions, and knowledge sharing.
Koho hledáme
- Extensive professional experience building and operating production-grade systems in Python (required).
- Advanced SQL expertise, including query optimization and modeling for very large datasets (required).
- Proven experience designing and delivering large-scale data pipelines or data platform components.
- Strong working experience with Databricks or similar Spark-based data processing platforms.
- Demonstrated ability to own systems in production, including observability, troubleshooting, and incident response.
- Deep understanding of software design principles, data modeling, and engineering best practices.
- Comfortable using LLM-based coding tools responsibly, with full ownership for correctness, testing, and maintainability of resulting code.
- Excellent written and verbal English communication skills, with the ability to clearly explain complex technical topics to varied audiences.
Benefity
- Nice to have:
Experience with workflow orchestration tools (e.g., Airflow).
Prior experience working in analytics, economic data, or large-scale data products.
