Data/AI Engineer
Summary
Build and maintain data pipelines that transform raw documents and business data into clean, structured datasets for AI applications like RAG and LLM workflows using Python, SQL, and ETL tools.
Billennium is a global technology company with over 20 years of experience, committed to innovation and empowering businesses. As an employer, we offer a supportive, growth-focused environment where collaboration and creativity thrive. Join us to shape the future of technology together!
Role Purpose
We are looking for a Data / AI Engineer to build and own the upstream data pipelines that prepare large volumes of documents and business data for AI-powered applications.
You will transform diverse, complex data sources into structured, high-quality datasets ready for analytics, retrieval-augmented generation (RAG), and large language model (LLM) workflows. You will ensure that information is consistently collected, cleaned, enriched, processed, and made available for intelligent search and AI-driven solutions.
You will work closely with data scientists and AI engineers to enable reliable, scalable, and production-ready data foundations.
Key Responsibilities
Own end-to-end data flows from raw documents and source systems to structured data, embeddings, and searchable data stores
Build and maintain ETL/ELT pipelines for extracting, transforming, and loading data
Ingest and process data from multiple internal and external sources
Extract metadata and structure unstructured documents for AI and analytics use cases
Clean, normalize, and prepare large document collections for LLM and RAG applications
Develop automated pipelines for document processing, chunking, embedding generation, and indexing
Ensure data quality, consistency, versioning, and pipeline reliability
Support the development and optimization of AI solutions using embeddings, vector search, semantic search, and retrieval techniques
Help design scalable data architectures for growing data volumes
Collaborate with data scientists, engineers, and business stakeholders to deliver data-driven capabilities
Required Skills & Experience
Strong Python skills, including experience with data processing libraries such as pandas
Strong SQL skills and experience working with structured data
Experience building ETL/ELT pipelines and data processing workflows
Experience working with document processing and unstructured data
Familiarity with Docker and modern data platforms or warehouses
Experience working with databases such as Snowflake, MongoDB, or similar technologies
Understanding of data modelling principles and data preparation techniques
Analytical mindset with strong attention to detail
Ability to work effectively with messy, evolving, and complex data sources
Clear, direct, and collaborative communication style
Nice to Have
Experience with OCR technologies and document extraction
Experience with MongoDB Atlas or similar platforms
Basic understanding of embeddings, RAG architectures, vector databases, and semantic search
Experience supporting AI or machine learning projects
Perks and benefits:
Comprehensive benefits - enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers.
Flexibility - adaptable working hours and remote/hybrid work options to suit your lifestyle & location.
Career growth - access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more.
Global collaboration - work with a diverse, international team.
Innovative environment - be part of a forward-thinking and growth-oriented workplace.
Engaging community – Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work.
Team-building events including our company tradition (annual company event in Mazury).
A pleasant surprise to start your journey with us in the form of a welcome pack.
Recruitment process:
HR call
Technical Interview
Interview with the dedicated Client
Final decision/ Feedback
Sounds interesting? Click "Apply" and have a chance to hear more!
Your skills & experience
Our offer
Your role
Seniority
Area of expertise
Technology stack (Tags)
Others (pictures etc.)