<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>Company Description<br/></strong> <p>WundrX Marketing Agency is a leading Middle East-based marketing pioneer focused on transforming brands and driving measurable business growth. With a client-centric approach, we build strong partnerships founded on trust and a deep understanding of unique business needs. Our team of experienced professionals develops tailored marketing strategies using cutting-edge technology and a keen eye on industry trends. By handling projects in-house, we streamline processes, control costs, and deliver impactful solutions. Join us and contribute to a culture driven by innovation, excellence, and a commitment to achieving extraordinary results.<br/></p> <strong>Role Description<br/></strong> <p>This is a full-time hybrid role based in Berlin, Germany, with an option for some remote work. As a Junior Data Engineer, you will be responsible for designing and maintaining data pipelines, implementing ETL processes, and managing data warehousing solutions. You will support data analytics efforts by ensuring data integrity and availability, as well as collaborate with cross-functional teams to enable data-driven decision-making. This role offers an exciting opportunity to contribute to company projects and learn from a dynamic and innovative environment.<br/></p> <strong>Qualifications<br/></strong> <ul><li>Proficiency in Data Engineering and Data Modeling techniques</li><li>Experience with Extract, Transform, Load (ETL) processes and Data Warehousing systems</li><li>Skills in Data Analytics to support data-driven decision-making</li><li>Familiarity with programming languages and tools relevant to data engineering (e.g., Python, SQL)</li><li>Strong analytical and problem-solving abilities</li><li>Bachelor’s degree in Computer Science, Data Science, or a related field</li><li>Ability to work in a hybrid setup, demonstrating flexibility for both in-office collaboration and remote tasks</li><li>Knowledge of cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is a plus</li></ul> </div>