Analytics 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 use modern advanced analytics and data science to optimise any organisation and make it data-driven.

Integrate data from multiple areas of the business into a single trusted model using Fivetran, dbt and Snowflake. Employ modern business intelligence tools, such as Looker and Tableau, to enable businesses to build automated reports and do advanced analytics in a self-service way. Get exposure to advanced data modelling techniques, such as Kimball and Data Vault 2.0, and use them in order to reduce complexity in an organisation. Leverage Amazon SageMaker to automate machine learning for the purposes of customer segmentation and automated recommendations.

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

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


  • Very good knowledge of SQL
  • Excellent command of English

soft skills

  • Great communication skills
  • Analytical mindset
  • 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