Senior Databricks Engineer

Talanto; Wrocław; Hybrid; PLN 290,000 - 348,000; Full time

Job summary

Avanade Poland is seeking a Senior Databricks Engineer to work on Databricks and Azure-based data projects. You will design and maintain data pipelines, develop end-to-end architectures, and collaborate with data scientists and engineers to optimize data solutions.

The role offers hybrid work with offices in Wroclaw and Krakow or remote work within Poland, and there is potential to lead the project as a Team Lead when needed.

Qualifications

• Commercial experience with Databricks, Python, PySpark and SQL.
• Strong understanding of data engineering concepts (ETL, data modeling, data warehousing, data governance).
• Experience leading data projects and collaborating with data scientists.

Responsibilities

• Design, build and maintain scalable data pipelines.
• End-to-end development of data architectures and ETL processes.
• Collaborate with analysts and other engineering teams to ensure data integration.
• Optimize performance of data workflows and ensure reliability.
• Lead project efforts if needed.
• Opportunity to develop yourself in AI engineering.

Skills

Databricks

Python

PySpark

SQL

Data engineering concepts

Tools

Docker

Kubernetes

Job description

26,000 – 31,200 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 Senior 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
• Acting as a Team Lead in the project if needed
• Possibility to develop yourself in AI engineering

Required skills:

For this role, we require commercial experience with:

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

Nice to have:

• Knowledge of OCR and corresponding libraries (e.g. easyOCR)
• Any experience in data science area

In line with the market for similar positions

Based on 38 similar vacancies

7701$ /month

7701$ /month Your offer

5438 $ 25%

6942 $ median

8401 $ 75%

The range shows the lower and upper market bands: 25% of vacancies pay below the first value, the median is the typical salary, and 75% marks the upper band.