Data/AI Engineer

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!

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