Senior Data Engineer

Role Overview

To build and maintain systems that collect, store, process, and analyze data, such as data pipelines, data warehouses, and data lakes. The role involves designing and implementing data architectures, collaborating with data scientists, and contributing to the development of machine learning models.

What You Will Do

Build and maintain data architectures, design and implement data warehouses and data lakes, develop processing and analysis algorithms, collaborate with data scientists, and contribute to the development of machine learning models.

Why It Might Be a Fit

The ideal candidate will have hands-on expertise in data modeling techniques, proficiency in tools such as erwin Data Modeler, SAP PowerDesigner, or ER/Studio, and advanced SQL skills. Strong analytical thinking, problem-solving ability, and clear communication skills are key to translating complex business requirements into efficient, scalable data solutions.

Requirements

• Cloud-Based Data Platform Knowledge
• ETL/Data Integration Familiarity
• Data Governance & Security Knowledge
• Expertise in Data Modeling Tools & Techniques
• Advanced SQL Proficiency
• Analytical & Problem-Solving Skills
• Excellent verbal and written communication

Benefits

• hybrid working model
• minimum 2 days per week in the office