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Data Engineer (Senior) ID40199

AgileEngine
Seville, Spain, Spainfull_timeVerifiedPosted 9 Oct 2025

About the role

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US  If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company. WHAT YOU WILL DO - Design, build, and maintain large-scale data pipelines and data processing systems in AWS; - Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies; - Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions; - Implement best practices for data governance, security, and compliance; - Monitor, troubleshoot, and improve the performance of data systems and pipelines; - Mentor junior engineers and contribute to building a culture of technical excellence; - Evaluate and recommend new tools, frameworks, and approaches for data engineering. MUST HAVES - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field; - 5+ years of experience in data engineering, software engineering, or related roles; - Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.); - Deep knowledge of big data ecosystems , including Hadoop (HDFS, Hive, MapReduce) and Apache Spark (PySpark, Spark SQL, streaming); - Strong SQL skills and experience with relational and NoSQL databases; - Proficiency in Python, Java, or Scala for data processing and automation; - Experience with workflow orchestration tools ( Airflow, Step Functions, etc. ); - Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts; - Excellent problem-solving skills and ability to work in fast-paced environments; - Ability to work German TimeZone (~6 - 7 am to ~ 2-3 pm Brazil/ ART time), - Upper-Intermediate English level. NICE TO HAVES - Experience with real-time data streaming platforms (Kafka, Kinesis, Flink); - Knowledge of containerization and orchestration (Docker, Kubernetes); - Familiarity with data governance, lineage, and catalog tools; - Previous leadership or mentoring experience. PERKS AND BENEFITS - Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. - A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. - Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

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Company

AgileEngine

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