About the role

We are looking for 2 Senior Data Engineers to join a high-impact data team working on complex data ingestion and processing pipelines. The team is building an ingestion framework for capturing data from multiple individual feeds and needs experienced engineers who can see the big picture, understand both data and domain context, and work closely with stakeholders.

This is a long-term contract role, starting ASAP, with minimal travel and a strong technical focus.

We are searching for Data Warriors — proactive, outspoken engineers who are not afraid of hard work and ownership.

Responsibilities

• Design, build, and maintain scalable data pipelines (ETL/ELT)

• Work on ingestion frameworks for capturing data from multiple sources

• Develop and optimize data processing workflows using AWS and Databricks

• Work with structured and unstructured data (text, PDFs, images)

• Implement solutions for text extraction, OCR, and translation

• Integrate with external services via RESTful APIs (CRUD operations, Google services, etc.)

• Collaborate with stakeholders to understand business and domain requirements

• Ensure data quality, reliability, and performance across pipelines

• Contribute to architectural decisions and best practices within the data platform

Requirements

• Strong experience as a Senior Data Engineer

• Excellent knowledge of Python and SQL (expert-level)

• Solid experience with AWS and Databricks

• Proven experience building data pipelines and ETL/ELT processes

• Experience working with RESTful APIs and external services

• Experience with text extraction, OCR, and translation pipelines is a strong plus

• Familiarity with LLMs for textual extraction from PDFs and images is nice to have

• Ability to understand complex data ecosystems and see the bigger picture

• Experience working with stakeholders and translating business needs into technical solutions

• Proactive mindset, strong communication skills, and ownership attitude