Databricks Engineer

Talanto; Wrocław; Hybrid; PLN 213,000 - 300,000; Full time

Job summary

Avanade Poland is seeking a Databricks Engineer to contribute to Azure-based data projects across industries. You will design and maintain scalable data pipelines and collaborate with data scientists to ensure smooth data integration.

The role offers hybrid work with offices in Wroclaw and Krakow, and options for remote work within Poland. You will grow in a dynamic data engineering team and explore advanced AI technologies.

Qualifications

• Commercial experience with Databricks, Python and PySpark, SQL and ETL.
• Experience in data modeling, warehousing, and governance.
• Ability to design end-to-end data pipelines and data architectures.
• Collaboration with data scientists, analysts, and other engineering teams.

Responsibilities

• Designing, building, and maintaining scalable, efficient, and reliable data pipelines
• End-to-end development of data architectures and ETL processes
• Collaborating with data scientists, analysts, and other engineering teams to ensure data integration and optimization
• Optimizing performance of data workflows and ensuring the reliability of data solutions
• Staying up-to-date with the latest developments in data engineering world
• Mentoring and providing guidance to junior data engineers
• Possibility to develop yourself in advanced AI technologies

Skills

Databricks

Python

PySpark

SQL

ETL

Data modeling

Data warehousing

Data governance

Docker

Kubernetes

easyOCR

Tools

Docker

Kubernetes

easyOCR

Job description

19,067 – 26,867 PLN

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We’re looking for specialists open to cooperate on B2B basis, for our customer – Avanade Poland.

This role is available for both specialists open to work remotely (within Poland) or in hybrid mode (offices in Wroclaw and Krakow).

Position:

As Databricks Engineer, you will be working in projects for various domains and industries, focused mostly around Databricks and Azure cloud. Among your tasks there will be:

• Designing, building, and maintaining scalable, efficient, and reliable data pipelines
• End-to-end development of data architectures and ETL processes
• Collaborating with data scientists, analysts, and other engineering teams to ensure data integration and optimization
• Optimizing performance of data workflows and ensuring the reliability of data solutions
• Staying up-to-date with the latest developments in data engineering world
• Mentoring and providing guidance to junior data engineers
• Possibility to develop yourself in advanced AI technologies

Required skills:

For this role, you will need commercial experience with:

• Databricks
• Python and PySpark
• SQL
• Data Engineering concepts such as ETL, data modeling, data warehousing, data governance

Nice to have:

• Experience with Docker/Kubernetes
• Knowledge of OCR and corresponding libraries (e.g. easyOCR)
• Any experience in data science area