Senior Data Extraction Engineer

We’re building a central Data Engineering team that ingests data from enterprise source systems and engineering applications (Oracle, CRM platforms and internal tools), loads it into a Google Cloud data platform and delivers foundational data products for the whole organization. We’re looking for a senior engineer who pairs an architecture mindset with deep hands-on skills: someone who designs scalable systems and also builds and ships them to production. You’ll own pipelines end to end, from whiteboard to running code, including AI-powered extraction from unstructured data such as documents, audio, video and engineering drawings.

Responsibilities

• Design end-to-end GCP data architecture: turn business requirements into technical designs, pick the right services per workload and define reusable patterns.
• Build and ship production pipelines from Oracle, CRM and engineering apps into GCS and BigQuery.
• Extract structured data from PDFs, Office files, audio, video and drawings using Document AI, Vision, Speech-to-Text, Vertex AI and LLMs.
• Build and maintain CIM semantic layers.
• Manage GCS and Cloud IAM with least-privilege access and cost efficiency.
• Build observability into every pipeline: logging, alerting, data quality checks and SLA monitoring.

Must have

• Senior-level data engineering experience, with a track record of designing systems and personally building them for production.
• Strong hands-on GCP: BigQuery, Cloud Storage, Cloud IAM, Dataflow/Apache Beam, Cloud Composer/Airflow, Pub/Sub and Cloud Functions/Run.
• Experience with AI-driven extraction from unstructured data: Document AI, Vision/OCR, Speech-to-Text and LLM-based extraction.
• Strong Python and SQL (BigQuery dialect), dbt, ELT/ETL design and data modeling.
• Reliability patterns: idempotency, dead-letter queues, retries, schema evolution and data quality gates.
• Git, CI/CD and Terraform/IaC.
• GCP security: IAM custom roles, workload identity federation, VPC Service Controls and bucket-level access controls.
• Medallion architecture (bronze/silver/gold) and dimensional modeling for BI and AI consumers.
• Ability to write technical design documents and explain architecture trade-offs clearly.
• Advanced English.

Nice to have

• Experience building Common Information Model (CIM) semantic layers, especially in energy, utilities or infrastructure (IEC 61968/61970).
• Video Intelligence API and audio processing pipelines.
• Extracting data from engineering drawings (CAD or technical diagrams).
• Experience with Oracle and CRM platforms as data sources.
• Source-aligned data products (“zero layer” modeling).
• Google Cloud Professional Data Engineer or Cloud Architect certification.

This job opening includes people registered in the National Registry for Persons with Disabilities (Registro Nacional de Personas con Discapacidad - Ley N° 19.691) who meet the conditions and suitability for the position. If you require any accommodations during the application process, please reach out to us at [email protected].