Data Engineering Trainee

Apply for an analytics engineering traineeship at Infinite Lambda.

We created the Talent Accelerator, a 12-month fully paid training programme to make the world of cloud and data innovation more accessible. We will mentor you, support you in building your tech stack and help you gain practical experience.

The traineeship consists of:

  • 3 months of intensive training in cutting-edge tech
  • 9 months of hands-on practice on real projects

Learn how to build high performing big data pipelines, create streaming analytics and enable businesses to use machine learning in production.

Our trainers will teach you how to use technologies, such as Airflow and Prefect, to orchestrate complex data platforms. You will learn about modern cloud data warehouses, such as Snowflake, and Data Science platforms, such as Databricks. You will also get experience with streaming platforms like Kafka and use a number of serverless tools like Lambda functions and Kinesis, and others.

The traineeship is paid, full time and on site at our offices.

The position is open to applicants based in Sofia and Plovdiv, Bulgaria.


  • Demonstrable knowledge of Python, Java or Go
  • Basic SQL
  • Bonus points for projects on GitHub

soft skills

  • Excellent command of English
  • Team player
Why Join us

We want to see you thrive with us.

Being Your True self

Thrive in a supportive and inclusive team that is lucky to have you for who you truly are.

Practising innovation

Use cutting-edge tech at a front seat to the rapid evolution of cloud and data.

Living autonomously

Pick your location, manage your time and forget about logging office visits. Life is too short for red tape.

Learning & Growth

Get dedicated learning and development time, access to top-notch learning portals and use coaching opportunities.

Enjoying the perks

Get private health insurance, work-from-home budget, unlimited paid holiday and wellness benefits.

Our hiring process

Application review
Screening assessment
Technical interview
Cultural conversation