Senior Data Engineer
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Senior Data Engineer building OCR and ingestion pipelines for an AI consultancy serving insurers. Converting unstructured insurance documents into structured data for RAG and anti-financial-crime models.
Responsibilities:
- Design and implement scalable pipelines for ingesting high-volume unstructured insurance documents
- Build connectors to document sources such as SharePoint and email
- Integrate, configure, and optimise OCR and document parsing technologies to extract high-accuracy text and layouts
- Build automated workflows for text cleaning, normalisation, semantic chunking, and metadata tagging
- Design vector storage schemas and robust retrieval mechanisms (RAG) to feed downstream AI models
- Ensure document processing pipelines meet enterprise security and low-latency SLA requirements
- Build automated error monitoring and extraction validation loops that flag low-confidence OCR outputs
- Apply engineering best practices across the pipeline lifecycle, including version control, CI/CD, and testing
- Turn high volumes of insurance documents into structured, high-quality, AI-ready data for downstream RAG and AI models
- Support a Dutch insurance client through a consultancy focused on AI, automation, advanced analytics, and anti-financial crime
Requirements:
- 5–10 years' experience in data engineering
- Proven experience building data processing and document ingestion pipelines on public cloud platforms
- Hands-on experience processing unstructured documents (PDF, Word, Excel, PowerPoint, scans, emails)
- Experience building connectors to enterprise sources such as SharePoint and email
- Practical experience with document extraction / OCR tools, e.g. AWS Textract or equivalent
- Strong engineering practices: Git, CI/CD, automated testing
- Mandatory: Python and SQL
- Mandatory AWS: S3, Step Functions, CloudWatch
- Mandatory OCR / document extraction: AWS Textract or equivalent
- Mandatory unstructured document processing and ingestion pipelines
- Mandatory Git, CI/CD, testing
- Experience in banking or insurance is an advantage
- Nice to have: Vector databases and RAG architectures
- Nice to have: Azure and Databricks
- Nice to have: Financial services / insurance domain experience
- Based in Europe; candidates in CEE preferred
- Ability to start within 30 days
Benefits:
- Long-term remote-first contract position
- Contract through July 2027 with possible extension
- Remote within Europe (CEE preferred)
Similar Jobs
Senior Data Engineer
Senior Data Engineer building cloud data platforms for Valtech, an experience innovation company. Enabling analytics, AI, GenAI, and data products through scalable pipelines and governance.
Senior Data Engineer
Senior Data Engineer building cloud data platforms for Valtech, an experience innovation company transforming brands through data, AI, creativity, and technology. Enabling analytics, GenAI, and production-grade data products.
Senior Data Engineer
Senior Data Engineer building cloud data platforms for Valtech, an experience innovation company transforming brands through data, AI, creativity, and technology. Enabling analytics, ML, GenAI, and production-grade data products.
Senior Software Engineer, Data Platform
Senior Software Engineer building distributed data infrastructure for Human Interest’s retirement fintech platform. Owning pipelines, AWS compute, security, and AI-ready architecture.
Senior Data Engineer
Senior Data Engineer building secure Databricks data products for Oportun, a mission-driven financial services company. Leading pipelines, governance, integrations, and member communications infrastructure.
AI Data Engineer
AI Data Engineer improving internal annotation tools, dashboards, and workflows. Supporting RWS’s AI data collection, labeling, and validation services with Python and Azure.
Senior Data Architect
Senior Data Architect leading scalable data architecture, pipelines, and governance for CI&T’s enterprise EdTech transformation engagement. Hands-on technical leadership with US client stakeholders.
Data Platform Engineer – Mid-level
Data Platform Engineer building self-serve CI/CD, IaC, and governance tooling for ShippyPro’s global shipping platform. Owning deployment paths, pipeline modules, and data access workflows.
Senior AI / ML / Data Engineer
Senior AI/ML/Data Engineer developing ML, NLP, LLM, and RAG solutions for QAVION GROUP’s integrated consulting and technology business. Building scalable data pipelines and GenAI services.
Senior Data Engineer
Engenheiro de Dados Sênior remoto desenvolvendo pipelines e arquitetura lakehouse para a Monte Bravo. Construção de plataforma financeira inovadora com Python, PySpark, AWS e DBT.
Data Engineer
Data Engineer building secure Snowflake data architecture and pipelines for Blood Cancer United. Enabling enterprise analytics and business intelligence to improve blood cancer patient outcomes.
Senior - Principal Data Engineer
Senior Data Engineer shaping scalable Databricks data platforms for RevoData, a European Data & AI consultancy. Leading architecture, pipelines, cloud solutions and client-facing technical decisions.
Senior / Principal Data Engineer
Senior/Principal Data Engineer building scalable Databricks data platforms for RevoData, a boutique Data & AI consultancy. Shaping architecture, pipelines and client solutions across Europe.
Software Engineer, Data
Software Engineer building Python-based cloud data systems for Kunai’s banking and fintech clients. Designing scalable pipelines, real-time streams, and data platforms using AWS, Snowflake, and Databricks.
Founding Engineer – Data Platform
Founding Engineer building a lakehouse and FHIR data platform for a healthcare AI scale-up. Processing millions of clinical events and integrating hospital systems across Latin America.
Academic Content Developer – Financial Data Engineering, Credit Systems
Academic content developer creating fintech engineering curriculum for Jala University. Designing modules, labs, reference implementations, evaluation harnesses, and instructor guides.
Lead Geospatial Data Engineer
Lead geospatial data engineer guiding cloud-based geospatial, imagery, and enterprise data solutions at Logic20/20. Leading architecture, delivery, code quality, and engineering teams.
Lead Data Engineer – PySpark, Palantir Foundry
Lead Data Engineer building governed PySpark and Palantir Foundry pipelines for Logic20/20’s AI and analytics consulting practice. Improving releases, data infrastructure, and audit readiness for client projects.
Senior Manager, Data Engineering – Medicare Revenue
Senior Manager owning CVS Health’s Medicare revenue data engineering foundation. Building auditable healthcare data pipelines for revenue forecasting, risk adjustment, Finance, and Actuarial teams.
Senior Data Engineer
Senior Staff Data Engineer leading Capital One’s enterprise data pipelines and cloud architecture. Driving scalable data platforms, governance, and innovation across banking technology.