General Information

Position
Junior / Mid Data & AI Engineer with Databricks experience
Work arrangement
Full-time
City
Sofia
Country
Bulgaria
Department
Consulting
Team
Engineering, AI & Data
Area of interest
Digital, Engineering, IT - Development
Way of work
Hybrid

Description & Requirements

Who we are looking for
Why this role matters

We’re expanding our AI & Data engineering team delivering end-to-end AI transformation projects for large enterprises across Central Europe. This is not a theoretical role — in the end, you will build real systems, deploy real ML/LLM pipelines, and help clients adopt modern AI platforms. You’ll work with Azure, Databricks, MLOps/LLMOps frameworks, and maybe with AWS or GCP too. Doesn’t matter you do not have everything on 100%. If you are sharp, fast learner and want to grow, this role is for you. Come to learn from senior team-members, and work on projects that matter..

What you’ll eventually do

Data & AI Delivery

· Build and maintain data pipelines on Azure/AWS and Databricks
· Support ML/AI model training, evaluation, and deployment
· Contribute to MLOps / LLMOps pipelines (CI/CD, model monitoring, feature stores)

Engineering & Platform Work

· Implement scalable data transformations using Python, SQL, Spark
· Integrate data from enterprise systems, APIs, and third-party sources
· Work with multiple cloud platforms (Azure primarily, AWS or GCP when needed)

AI/ML Support

· Prepare training datasets, feature engineering, and experiment automation
· Support senior data scientists with model implementation and deployment
· Help operationalize LLM-based solutions (retrieval pipelines, prompt flows, vector stores)

Team & Client Collaboration

· Work with senior engineers, architects, and consultants that will help you deliver
· Participate in technical discussions and solution design
· Explain your work in a simple way to non-technical stakeholders

Who we’re looking for

A motivated early-career engineer who wants to grow quickly in cloud data engineering + AI delivery.

Required
· 1–4 years of experience in data engineering, data science, or ML-focused role with Understanding of the ML lifecycle (training → evaluation → deployment) Solid Python skills (data processing, notebooks, APIs)
· Hands-on experience with Databricks (must) – notebooks, Spark, Delta Lake, MLflow
· Experience with Azure (Azure Data Factory, Azure Storage, Azure ML, Azure Functions etc.). Experience with an additional cloud is a plus (AWS or GCP).
· Ability to clearly explain technical concepts and Strong English

Nice to have
· Experience with CI/CD tools (Azure DevOps, GitHub Actions)
· Exposure to MLOps or LLMOps practices
· Knowledge of data architecture patterns (lakehouse, medallion model)
· Experience working in consulting or client-facing environments
· Interest in Generative AI and real-world LLM applications
What we offer
At Deloitte, our professional development focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. From on-the-job learning experiences to formal development programs our professionals have a variety of opportunities to continue to grow throughout their career.

Growth & Development
  • Excellent opportunities for personal and professional development.
  • Extensive training in both core competencies and soft skills.
  • Exposure to well-known brands and diverse industries.
Work Environment
  • Dynamic international setting with strong team spirit.
  • Networking opportunities across Deloitte’s global network.
  • Free drinks in the office and daily lunch allowance.
Wellbeing & Benefits
  • Health insurance (mixed package).
  • Wellbeing initiatives and team-building activities.
  • Performance bonus to reward your impact.
About Deloitte
At Deloitte, our professional development focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. From on-the-job learning experiences to formal development programs our professionals have a variety of opportunities to continue to grow throughout their career.
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