ppBe among the first 25 applicants /p pGet AI-powered advice on this job and more exclusive features. /p pWe are looking for a seasoned bSenior Data Platform Engineer /b to join EPAM, a company at the forefront of shaping digital solutions for Fortune 1000 businesses. /p pAs a critical part of our team, the ideal candidate will bring deep expertise in Databricks and experience across multi-cloud environments. This role will focus on building, optimizing, and maintaining innovative, high-performance data platforms that enable powerful data insights and drive meaningful business transformations. /p h3Responsibilities /h3 ul liArchitect and deploy robust data platforms using Databricks, focusing on optimal performance and security /li liCreate solutions that are cloud-agnostic across AWS, Azure, and GCP to ensure system flexibility and resilience /li liDesign and implement comprehensive data pipelines involving data lakes, warehouses, and streaming technologies /li liUtilize Databricks SQL, Delta Lake, MLflow, and Spark for data interaction and performance enhancements /li liCollaborate with various teams to implement and maintain workflows based on Databricks best practices /li liDevelop CI/CD pipelines tailored for data platform deployment and testing /li liSet up and manage frameworks for monitoring, logging, and alerting to ensure infrastructure health /li liOptimize compute and storage resources to balance cost-efficiency and performance /li liTroubleshoot Databricks and Spark performance issues /li liMentor team members on effective cluster management and resource allocation in Databricks environments /li liMaintain compliance and security standards throughout platform operations /li liDrive adoption of advanced Databricks capabilities like Photon and Graviton instances /li liRegularly refine architectures to align with evolving business and technology requirements /li /ul h3Requirements /h3 ul liExtensive experience in Databricks, Apache Spark, and distributed data processing systems /li liStrong programming skills in Python, Scala, SQL /li liProficiency in data engineering services on AWS (S3, IAM, Lambda), Azure, GCP /li liExpertise in data architecture and ETL workflows, focusing on data lakes and lakehouses /li liHands‑on experience with Terraform, CloudFormation, and CI/CD tools /li liFamiliarity with monitoring and observability frameworks in large‑scale data environments /li liStrong analytical and problem‑solving capabilities /li liExcellent communication and collaboration skills /li liAbility to self‑manage in a dynamic work environment /li /ul h3Nice to have /h3 ul liCertifications in Databricks, AWS, Azure, GCP /li liKnowledge of Kubernetes and containerized deployments for data pipelines /li liExperience with real‑time data streaming frameworks and governance tools /li /ul h3We offer /h3 ul liPrivate health insurance /li liEPAM Employees Stock Purchase Plan /li li100% paid sick leave /li liReferral Program /li liProfessional certification /li liLanguage courses /li /ul pEPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country.



Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously. /p ul libWhy Join EPAM /b /li libWORK AND LIFE BALANCE. /b Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays. /li libCONTINUOUS LEARNING CULTURE. /b Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses. /li libCLEAR AND DIFFERENT CAREER PATHS. /b Grow in engineering or managerial direction to become a People Manager, in‑depth technical specialist, Solution Architect, or Project/Delivery Manager. /li libSTRONG PROFESSIONAL COMMUNITY. /b Join a integral EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends. /li /ul h3Seniority level /h3 pMid‑Senior level /p h3Employment type /h3 pFull‑time /p h3Job function /h3 pBusiness Development, Information Technology, and Engineering /p pSoftware Development and IT Services and IT Consulting /p h3Referrals increase your chances of interviewing at EPAM Systems by 2x /h3 pMadrid, Community of Madrid, Spain /p h3Software Engineer (Python) - AI Platform /h3 pWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. /p /p #J-18808-Ljbffr

📌 Senior Data Platform Engineer (Databricks) (Madrid)
🏢 Epam Systems
📍 Madrid