Senior Data Engineer (AI & Data Platforms)

About the role

Seismos is looking for a Senior Data Engineer to own and strengthen the data foundation behind its real‑time subsurface technology products. You will design databases, build reliable pipelines, and make complex engineering data accessible, trustworthy, and ready for AI and analytics use.

Key responsibilities

• Design, build, and maintain databases and data models supporting product functionality, analytics, and AI development.
• Develop and operate pipelines to ingest, transform, and integrate data from field systems, sensors, APIs, files, and existing databases.
• Create efficient data retrieval methods, queries, and interfaces for internal teams and applications.
• Partner with the AI team to prepare clean, consistent, and traceable datasets for model training and production inference.
• Implement data quality checks, pipeline monitoring, documentation, and access controls.
• Optimize database and pipeline performance, scalability, and cost while troubleshooting issues.
• Collaborate with domain experts to define requirements and establish data engineering standards.

Required profile

• 3‑5 years of professional experience in data engineering or a closely related role.
• Strong written and verbal English communication skills.
• Ability to translate ambiguous requirements into maintainable solutions and guide less experienced engineers.

Required skills

• SQL
• Python
• Relational database design, data modeling, indexing, and query optimization
• ETL/ELT workflow development
• Experience integrating heterogeneous datasets with validation and error handling
• Familiarity with AWS services (S3, RDS/Aurora)
• Workflow orchestration tools such as Airflow
• Experience with time‑series, sensor, or telemetry data (preferred)