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CIAL D&B Services Inc

Data Engineer

Data & ML

Employment

Full-time
From the employer

Full-Time

Level

Not stated

Team

Data Science & Engineering
Not doable from Austria

Country assessment

Not doable from Austria because it is tied to an office and never says it can be done remotely.

Our assessment is guidance. Confirm arrangements with the employer.

Skills mentioned in this posting

Python

Job description

Data Engineer | CIAL Dun&Bradstreet | Zagreb


We turn massive amounts of data into products our clients actually use. We need your help to build the engine behind it.

You will own the data journey. This means extracting data from multiple sources, keeping it accurate, and storing it safely. We tackle hard engineering challenges, but we solve them as a team.

Your Responsibilities

  • Write clean Python code to move data from source to storage.
  • Structure our data using relational and "not-so" relational databases we have in our stack.
  • Monitor pipelines to catch and fix breaks early.
  • Lock down data access to ensure security.
  • Research and apply new data tools to improve our stack.


Your Background

  • You have built data pipelines and understand ETL/ELT workflows.
  • You are proficient in Python.
  • You know your way around relational and NoSQL databases.
  • You solve problems systematically and manage your time well.
  • You speak and write fluent English, your Croatian is great.
  • You can engage vi(m) vs emacs flamewars and argument why vi(m) is better 


The Offer

  • Strong compensation.
  • A supportive R&D team in Zagreb.
  • The chance to build features that scale globally.


How We Work With AI

We’re builders at heart. We enjoy the actual craft of coding and architecting solutions, and we’ve moved past the AI noise to focus on its practical value. Think of AI as an amplifier for both your sharpest logic and your most careless mistakes. You are encouraged to use it to kill boilerplate and move faster, but you can't just be a prompter. You must understand exactly what the code is doing under the hood. It’s a powerful assistant, but your engineering brain must remain firmly in the driver’s seat.