Senior DataBricks Engineer (A893)

Our partner is a fast-growing AI and data science studio that develops products and solutions built on modern technologies such as machine learning, big data, and cloud. They work on projects for well-known European brands in banking, retail, and industry. Their team is a mix of experienced engineers, analysts, and developers who enjoy bringing innovation into real-world applications.

We are seeking an experienced Senior DataBricks Engineer who is eager to tackle data challenges and work with modern open-source technologies in cloud environments.

Our Projects & Technology Stack

We work on real-world challenges across diverse industries like banking, insurance, manufacturing, pharmaceuticals, and e-commerce, using a wide range of customer data sources, including call center logs, customer segmentation data, IoT sensors, and web analytics. These are just a few examples, the scope of our work is broad and constantly evolving as new data and technologies emerge.

What will be your key responsibilities:

As a Senior Databricks Engineer, you'll be a key part of the team transforming raw data into actionable insights. You'll work with the latest Databricks features like Unity Catalog, Spark Streaming, CDC, and DABs. Your work will include designing and optimizing data pipelines, solving complex data challenges, and building scalable cloud-based systems. We work in small, focused teams using agile methods and close collaboration between engineers, analysts, and data scientists.


What experience should you have:

  • Proficiency in Python and SQL.
  • Experience with production environments for Databricks PySpark pipelines.
  • Experience working with cloud platforms (Azure, AWS, or GCP).
  • Interest in building and maintaining data pipelines and working with large datasets.
  • Collaborative mindset and willingness to learn from and contribute to a skilled team.

What do you get in return:

  • The opportunity to work on exciting, AI-powered solutions that make a real impact.
  • A collaborative environment where learning and professional growth are a priority.
  • Flexibility, remote work options, and a supportive team culture.
I want to apply

Send offer to e-mail

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