Senior Data Engineer (Databricks)

• Delivery on complex data engineering projects across industries • Leading small delivery teams • Managing customer relationships alone or with a Project Manager • Mentoring more junior engineers • Evaluating the quality of junior engineers' work • Contributing to hiring best-in-class data engineers • Consultant mindset and passion for customer experience • Excellent communication and presentation skills • Solid software engineering foundations • Significant experience working on Unix/Linux • Strong understanding of distributed systems • Familiarity with best-in-class software engineering principles • Experience designing and implementing data-intensive applications • Strong SQL and NoSQL hands-on experience • Fluency in English • Willingness to travel up to 15% of the time within the EU • Exposure to real-time data processing systems • Experience with Apache Spark and/or the Big Data ecosystem • Technical mentoring and/or people management hands-on experience • Access to Databricks public and internal courses • Payment for various data and cloud certifications • Dedicated time for learning during work hours • Access to internal library • Flexible paid time off and working hours • Flexible office attendance with expectation of one day per week in office • 30 calendar days of paternity leave • Private medical insurance via Generali • Employee Assistance Program with psychological, financial, and legal consulting services • Top-notch working equipment including MacBook,…