Data Engineer with Databricks

Data

Data Engineer with Databricks

Data
Prosta 20, Warszawa

Margo

Full-time
B2B
Senior
Remote
46 - 55 USD
Net per hour - B2B

Job description

We are looking for data engineers perfectly familiar with data literacy and proficient with data platform architecture patterns. The data platform is leveraging MS Azure services, including ingestion, staging, processing, and serving. The client now entering a phase of scaling Databricks solution, then we are looking for resources with relevant skills on this technology.



The position is ideal for you if you have:

3+ years of experience as a Data Engineer

Experience with Azure Databricks and Power BI

Fluent in English (written and spoken)


Joining Margo you can expect:

  • Ability to work in an international consulting company on ambitious projects,

  • Permanent contract or B2B cooperation,

  • Benefits such as medical care and sports card,

  • Co-finantrainings, certification exams and post-graduate studies,

  • Internal training and the possibility of using our know-how,

  • Possibility to use our library free of charge,

  • Individual approach and development opportunities (career path planning, ability to change the

  • project and position, possibility to get involved in outside-project activities with additional

  • remuneration),

  • Possibility to influence the shape of the company, openness to your ideas and willingness to

  • implement them,

  • Excellent working atmosphere, integration events.

  • Data engineer, with proven skills with Databricks.


Missions :

  • support our dev team to develop our data pipelines & data transformation & data exposure services

  • Actively Contribute to the continuous improvement of our dev patterns

  • Document developments & unit testing

  • Improve platform observability capabilities


Key skills :

  • Proficient in SQL, Python and PySpark

  • At least 2 years of experience in Databricks, with proven

  • experience deploying Unity Catalog solutions

  • Proven experience working in Azure, and more specifically with the following services within Azure: Data Factory, SQL Database,

  • Data Lake, Logic Apps

  • Skilled in Data modelization, whatever the supporting tool.

  • Comfortable with business-specific discussions.

Tech stack

    English

    C1

    PySpark

    advanced

    Databricks

    advanced

    SQL

    advanced

    Power BI

    regular

    Azure

    regular

    Python

    regular

Office location

Published: 17.07.2025