Senior Data Engineer
About the Company:
Our partner provides Databricks-focused consulting, supporting one of the largest companies in Europe that builds end-to-end AI solutions. Their clients span banking, insurance, and other enterprise sectors, where they implement scalable AI-driven data platforms and pipelines.
About the Role:
We are looking for talented Senior Data Engineers to join the team and support the development of data-driven solutions. The role focuses on building and optimizing Databricks-based data pipelines that can handle large, complex datasets and power enterprise-scale AI solutions.
Key Responsibilities:
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Design, develop, and maintain robust Databricks PySpark pipelines for production
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Work with large-scale data to ensure high performance, scalability, and reliability
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Collaborate with data scientists, architects, and business stakeholders to deliver end-to-end solutions
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Optimize data workflows and infrastructure on cloud platforms
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Contribute to knowledge sharing and best practices within the engineering team
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Participate in Scrum and Agile development processes
Requirements:
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5+ years of experience developing, designing, and implementing scalable data architecture solutions in complex environments
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Strong programming skills in Python and SQL
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Proven experience delivering Databricks PySpark pipelines into production
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Solid hands-on experience with Databricks
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Strong expertise in at least one major cloud platform (Azure, AWS, or GCP)
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Experience working with large datasets and building robust pipelines
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EU-based candidates only (must)
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Excellent communication skills with the ability to explain concepts clearly at both logical and conceptual levels
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Fluent in spoken and written English
We offer:
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Long-term employment with competitive compensation, based on experience
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Possibility to work remotely
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An open, transparent and fun work culture
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Multi-national team and collaborative work environment
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Continuous knowledge sharing with engaged co-workers
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Career and professional growth opportunities