Data Engineer / Data Scientist

Position Overview

Lightium is developing next-generation photonic integrated circuits on thin-film lithium niobate (TFLN) and is currently seeking an experienced professional to assist in analyzing and visualizing technical data as well as enhancing infrastructure for valuable insights.

Key Responsibilities

• Data Engineering & Pipeline Development:
  • Design, build, and maintain scalable data pipelines from lab instruments, PLM, ERP, and operational systems.
  • Manage ELT/ETL transformations using Python and DBT, adhering to software engineering best practices.
  • Utilize cloud object storage and Apache Iceberg to manage scalable data lakes for both batch and incremental processing.
  • Implement data quality checks and schema validation to ensure reliable and traceable data.
  • Evolve the data warehouse layer to accommodate growing analytical workloads.
• Data Modelling & Transformation:
  • Convert raw data from diverse sources into structured analytical datasets.
  • Define and maintain DBT models that represent business logic and metrics.
  • Collaborate with experts to ensure data models reflect physical reality accurately.
  • Document data lineage and transformation logic for downstream users.
• Dashboarding, Reporting & Manufacturing Visibility:
  • Create dashboards offering real-time visibility into wafer yield and process control metrics.
  • Generate reports that highlight actionable manufacturing insights.
  • Develop self-service data access tools for engineers to quickly find information.
  • Work with teams to define vital KPIs and real-time visualizations for decision-making.
• Manufacturing Analytics, Yield & Process Optimization:
  • Build models focused on wafer-level yield analysis and process optimization.
  • Create anomaly detection systems to identify potential yield loss early.
  • Stay updated on scientific ML and semiconductor analytics, integrating emerging methods where beneficial.
• Collaboration & Documentation:
  • Work closely with teams to translate their data needs into actionable engineering tasks.
  • Maintain comprehensive documentation of pipeline logic and model definitions.
  • Communicate findings and progress transparently to foster knowledge sharing.

Desired Skills and Experience

• A recent graduate or industry expert with a degree in a relevant quantitative field.
• Strong Python programming skills with an emphasis on writing clean, maintainable code.
• Proficient in SQL with the ability to design schemas and optimize queries.
• Familiarity with cloud platforms and data warehousing, particularly AWS or GCP.
• Hands-on experience with data pipeline tools and a basic understanding of machine learning concepts.
• A detail-oriented mindset with a focus on data quality.
• Proactive approach with a results-oriented attitude.
• Excellent communication skills in English.

What We Offer

• Competitive compensation and a comprehensive benefits package.
• An exciting opportunity to contribute to cutting-edge technology in the photonics field.
• A collaborative work environment where your contributions will have a significant impact.
• A chance to develop professionally in a dynamic startup atmosphere.

Final Thoughts

We welcome enthusiasm for building innovative technology and thrive in collaborative, outcome-driven settings.

Lightium is proud to be an equal opportunity employer, committed to promoting inclusivity and diversity within our workforce.