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Open nowFirst seen 3 days ago

Data Engineer

DIGITALL Nature25 open roles

Where
Sofia, Bulgaria
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Your applicationOpen nowData EngineerDIGITALL Nature · Sofia, Bulgaria

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on DIGITALL Nature's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

At DIGITALL we dont just deliver technology we deliver the future! We are explorers, knowledge-hunters, tech geeks, problem solvers and game changers who want to inspire and be inspired. Our DIGITALL people are always one step forward: working with top-notch technologies, creating innovations ahead of the market trends, sharing the passion for discovering better ways. As a human-centric organization, our teams are built on mutual respect and open communication, allowing everyone to be authentic, express ideas and unleash their potential. We are proud of our DIGITALL bright minds and never stop developing their skills to keep pushing boundaries together and do what we love. DIGITALL operates globally with a team of 1000 experts in 16 locations across 8 countries.

We are seeking a Data Engineer to build and operationalize AI solutions across RAG, agentic workflows, knowledge graphs, and machine learning. The role is hands-on and spans experimentation, backend development, deployment, evaluation, and production support.

This is your job:

  • Design and build RAG and agentic AI solutions from prototype through production;
  • Develop AI workflows using Python, LangGraph, LangChain, or comparable frameworks;
  • Develop retrieval pipelines covering ingestion, embeddings, indexing, retrieval, reranking, grounding, and citations;
  • Build and maintain data and AI pipelines using Databricks;
  • Integrate AI applications with Azure and enterprise services, including identity, security, logging, and monitoring;
  • Evaluate solution quality using retrieval metrics, RAG evaluations, LLM-based evaluation, and human review;
  • Collaborate with engineers, architects, product teams, and domain specialists to move use cases into production;
  • Support technical documentation, troubleshooting, optimization, and post-production improvements.

Your qualifications:

  • 5+ years of relevant software, data, machine learning, or AI engineering experience;
  • Hands-on experience with RAG, LLM applications, or agentic AI workflows;
  • Hands-on experience with Databricks, data pipelines, SQL, and common Python data/ML libraries;
  • Strong communication and collaboration skills across technical and non-technical teams;
  • Ability to take ownership and work iteratively from experimentation to secure, maintainable production solutions;
  • Bachelor's degree in Computer Science, Engineering, Data Science, AI/ML, Statistics, or a related technical field.

Preferred: Experience with GraphRAG, knowledge graphs, ontologies, graph databases, Azure AI services, MCP, or enterprise technology environments.

Organizational information:

All applications will be treated in strict confidentiality. Please note that only shortlisted candidates will be invited to an interview.

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