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Senior Data Engineer
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
Carrer d'Aribau, 66, L'Eixample, 08011 Barcelona, Spain
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Description

**Appodeal** is a dynamic US\-based product company with a truly global presence. We have offices in **Warsaw, Barcelona and Virginia** along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. **Why Appodeal?** At Appodeal, we're more than just a company—we're a team united by a common mission: **to help every person discover and grow their talents!** We take pride in our cutting\-edge product and our internationally dispersed team of talented professionals. Here's what we value, and what we hope you do too: * **Continuous Learning and Growth:** We are passionate about learning, growing personally, and building rewarding careers. * **Making an Impact:** We are committed to building a history\-defining company that leaves a lasting impact on the mobile app industry. * **Solving Exciting Challenges:** We tackle complex problems every day, supported by a team of world\-class professionals and mentors. * **Enjoying the Journey:** We believe in having fun while working toward our goals. We are seeking a skilled Data Engineer to join our **MGP (Mobile Growth Platform), UA team** in Barcelona. The ideal candidate will be responsible for building, maintaining, and optimizing our data infrastructure, ensuring seamless data flow and accessibility for ML, analytical and business needs. **Key Responsibilities** * Oversee the in\-house ML data platform, managing tasks such as collecting, storing, and transforming data to support machine learning models. * Design, develop, test, and orchestrate data workflows to streamline pipelines. * Establish and promote best practices for data handling and processing within the ML context. * Contribute to the development of internal tools for automating data processes and business workflows, enhancing efficiency and scalability. * Collaborate closely with product, MLOps and data science teams to ensure an optimal data experience for all ML practitioners and data consumers. **Requirements** * 3\-5\+ years of professional work experience in data engineering. * Strong expertise in Python and common data frameworks (Pandas, PySpark). * Experience with modern data storage solutions: Data lakes (Delta tables), and data warehouses. * Experience with data orchestration tools (Dagster, Airflow). * Experience with streaming technologies (Kafka, Spark structured streaming). * Solid understanding of system design, data structures, and algorithms * Experience with cloud platforms (AWS S3, EC2 etc.) **Strong problem\-solving skills and ability to excel in a fast\-paced startup environment** * Basic knowledge of machine learning and data analytics. * Basic knowledge of data visualization and BI tools. * **Based in Barcelona or ready to relocate to Barcelona**. **Nice to have** * Experience with Databricks platform. * Experience in building ML data platforms. ### **Why Appodeal** * Work in a **fast\-growing international AdTech ecosystem**. * Collaborate with brilliant minds in **data science, AI, and engineering**. * Competitive compensation with performance\-based bonuses. * Opportunity to make a direct impact on a data\-driven company serving millions globally. With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. **Join us** and help shape the future of mobile app success!

Source:  indeed View original post
David Muñoz
Indeed · HR

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