Senior Data Engineer（远程职位）

这条招聘信息来自 Jimmy Technologies，岗位是 Senior Data Engineer：这是高级职位，公司期待由你自己拿主意。职位属于「IT 与编程」类别，完全远程。公司招的是居住在欧洲的候选人。

招聘信息里列出的主要工具是：Python、AWS、SQL。简历上最好能给出正是这几项能力的具体例子。

公司公布了薪酬：€35 - €41/小时。对工作时间，招聘信息没有提出任何条件。

这个职位通过了自动核查：凡是要求外国工作许可、签证担保、特定国籍，或者必须居住在指定国家的招聘信息，都不会进入列表。

We are looking for a Senior Data / Ingestion Engineer for our client, a consultancy that helps banks and insurers transform their operations through AI, automation, and advanced analytics, with a strong focus on Anti-Financial Crime (fraud prevention, AML, KYC) and enterprise AI platforms . You will join their delivery for a Dutch insurance client . We're looking for an engineer with deep experience building robust ingestion pipelines for unstructured documents and integrating OCR and document extraction technologies. You will turn high volumes of insurance documents (PDFs, scans, emails, Office files) into structured, high-quality, AI-ready data that feeds downstream RAG and AI models. This is a long-term remote-first contract position for candidates based in Europe. Responsibilities

* Design and implement scalable pipelines for ingesting high-volume unstructured insurance documents (PDFs, scans, emails, Word, Excel, PowerPoint).

* 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: version control, CI/CD, and testing.

Work Conditions

* Start Date : ASAP

* Location : Remote within Europe (CEE preferred)

* Long-term contract-based role: until July 2027 with possible extension

* Contract with EU LCC

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.

* Experience in banking or insurance is an advantage.

Technical Requirements Mandatory

* Python, SQL

* AWS: S3, Step Functions, CloudWatch

* OCR / document extraction: AWS Textract or equivalent

* Unstructured document processing and ingestion pipelines

* Git, CI/CD, testing

Nice to have

* Vector databases and RAG architectures

* Azure, Databricks

* Financial services / insurance domain experience

Highlights If you are passionate about turning unstructured documents into AI-ready data, and want to help leading financial institutions fight financial crime with AI, this role is for you! Originally posted on Himalayas