1155 | Senior Data Ingestion Engineer
- Salary
- Not stated
- Level
- Senior
- Work type
- Remote · Poland only
- Visa
- Not stated
Open. First seen 15 October 2026.
The team: Data HIRES STEADILY
This role is one of 5 open in Data. 1 was posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (5 of 5), SQL (5 of 5), AWS (4 of 5), Azure (4 of 5), CI/CD (3 of 5), Databricks (3 of 5), Serverless (3 of 5)
OTHER ROLES ON THIS TEAM
- 1160 | Middle\Senior Data Analyst posted Sep 15
- 1104 | Senior Data (Databricks) Engineer posted Jul 31
- 1104 | Senior Data Engineer (Databricks) posted Jul 30
- 524 | Senior Data Support Engineer posted Aug 22
From the team and dates on Intetics's own job board.
About the role
The Data/Ingestion Engineer will design and implement scalable ingestion pipelines for high-volume structured and unstructured insurance documents, including PDFs, scans, emails, Word, Excel and PowerPoint files.
The role includes OCR/document extraction, text cleaning and normalization, semantic chunking, metadata tagging, vector storage/RAG preparation, validation, monitoring and integration with downstream AI solutions.
Requirements
- At least 7 years of experience as Data Engineer with Python and SQL
- At least 5 with AWS, the rest should be more or less but should be real experience that the candidate is able to talk about and give a concrete example/
- Must to have :
- Python
- SQL
- AWS
- S3
- Step Functions
- CloudWatch
- Data/document ingestion pipelines
- Processing of unstructured documents:
- scanned documents
- Word
- Excel
- PowerPoint
- emails
- OCR / document extraction technologies
- AWS Textract or equivalent
- Connectors/integrations with sources such as:
- SharePoint
- Text cleaning and normalization
- Metadata extraction/tagging
- Automated error monitoring
- Validation of OCR/extraction results
- Git
- CI/CD
- Testing
- Public-cloud data processing/document ingestion experience
- Good to have :
- Vector databases
- RAG
- Semantic chunking
- Vector-storage schema design
- Retrieval mechanisms
- Azure
- Databricks
- AWS Textract specifically
- Experience within insurance / financial services
- Experience handling enterprise security and low-latency SLA requirements
- English Level C1
- Duration of the mission : 1 year
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