Senior Data Engineer / NDA

Level

Senior

Department

Other IT Positions

Type

Full Time

Project

NDA

Locations:

Ukraine

Europe

Remote

Job Details

Posted on:

January 22, 2026

Job ID:

About the Company

Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide.

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.

About the Project

Our client is a legal tech startup that focuses on AI and machine learning, specifically building chatbots to answer legal questions for lawyers. They are looking for a Senior Data Engineer for a high-impact project: digitizing law in Morocco and Africa and creating the first AI-quarriable legal knowledge base.

Their ambition is to build a platform capable of answering legal questions in a reliable, well-sourced, and traceable way, based on a massive corpus of heterogeneous legal documents.

🚀 Why this project is different
You will join a true “knowledge infrastructure” mission:

Contribute to making the law more accessible
Build a durable asset: a structured database of Moroccan law (in French), extensible to Africa
Work on a concrete and deep technical challenge: transforming unstructured data into exploitable, reliable, and maintainable data at scale

Specialization

Headquarters

Years on the market

Team size and structure

Current technology stack

Required skills:

3+ years of experience in Data Engineering and/or applied Document AI / NLP
Strong proficiency in Python
Hands-on experience with unstructured documents: PDF parsing, OCR, cleaning, structuring
Used to delivering to production: robust pipelines, observability, quality, performance

🛠 Stack/skills (indicative)

Storage: AWS
Document processing: OCR/parsing tools, text preprocessing pipelines
Testing & quality: metrics, sampling, automated validatio

⭐ Nice to have

Experience with legal / regulatory corpora or high-precision content
Familiarity with multilingual issues and encoding
Basic knowledge of downstream needs (vector DBs, retrieval, citation)

Scope of work:

You will be responsible for the “documents → structured data” pipeline that will feed our AI (RAG) engine.

At the core of the role (technical focus)
Build a structured database of Moroccan law in French from highly heterogeneous data:

PDFs (text-based and scanned), Word files, images, text files, sometimes noisy or incomplete
Text extraction (parsing + OCR when needed), cleaning
Structuring: detection of titles/chapters/sections/articles, hierarchy, normalization
Intelligent chunking (based on legal structure rather than arbitrary size), with traceability (source, page, identifiers)
Metadata: date, type of text (law/decree/circular/case law, etc.), source, version, article numbers, etc.
Deduplication & versioning: redundant documents, amendments, consolidated versions
Industrialization: orchestration, logs, retries, idempotence, monitoring, quality tests