We are looking for a Data Engineer with the ability to understand customer data, use it to provide insights into business processes and realities, and transform it into a form that is suitable for analysis using Data Science and Machine Learning approaches. It is important that you show initiative, value details, and can communicate clearly with both technical-oriented people, and business users.

“You will be working on our main products NetMetrics and AssetMetrics – you will create ETLs to transform the customer data to the Transmetrics Data Model, create tests and test data in order to validate ETLs, and provide proper data sets for forecasting and optimization.

For the External Data project, you will support infrastructure design, periodical retrieval of external data and interface with internal data model.

For the Data Transformation productization, you will propose and implement components to optimize work on transformation of customer data.”

Core requirements:

Data extraction experience
Excellent understanding of SQL DQL, ability to extract knowledge of operations and business realities from the data, plus a basic understanding of the scope of database administration and design.

Taking initiative
You need to be able to understand the business problems we are tackling, and propose and take steps to resolve them.

Data Validation
You need to be thorough and detail-oriented when designing and implementing tests to validate business assumptions, data quality and the transformations of data themselves.

Experience and understanding of the business rules of the transport industry is a plus but not strictly required.

Main responsibilities:

– Transform customer data to Transmetrics’ Data Model
– Validate transformations and business assumptions
– Prepare data sets for forecasting and optimization
– Design and implement product components to support transformations
– Document thoroughly

How you will spend your time:

60% – Writing SQL queries, ETLs and tests
30% – Documenting
9 % – Internal communication
1% – Drinking coffee (or tea)

How we work:

– Scrum
– Weekly prioritization meetings
– Code reviews
– One-on-ones
– Annual reviews

Tech stack:

PostgreSQL, Pentaho Kettle, R, Python, Excel, Bitbucket, Jira, Confluence


Work that Matters
You will be building a product that will dramatically optimize the cargo industry – this is our way of “changing the world for the better.

Competitive Salaries
On top of them, you get 25 days paid annual vacation, flexible working hours, an opportunity to work from home when needed, additional health insurance and a convenient office location in the center of Sofia.

Challenging Problems
Be challenged by technically complex problems in the fields of big data, predictive analytics and machine learning.

Awesome People
Learn from a strong international team of 30+ people (majority with a very deep technical background) where you are appreciated and where your opinion matters.

Friendly Atmosphere
Have fun along the way in a dynamic, creative, and friendly atmosphere without the burden of the office politics.

Growing Quickly
Advance your skills and develop yourself in a rapidly growing startup, which is already generating solid revenue and has first-class customers.