Descrição da vagaCompany DescriptionThe Bosch group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future. Since its inception, Robert Bosch, SA, based in Lisbon, has proudly served as the cornerstone of the Bosch Group's presence in Portugal. We excel in providing essential central services such as Accounting, Procurement, Communications, Legal and Marketing, firmly establishing our reputation as a leader in critical domains like Information Technology and Industrial Consultancy. Moreover, our strong dedication to our most invaluable asset, our people, lies at the very core of our mission. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid : we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.Job DescriptionWe are a dynamic team responsible for managing the central cloud infrastructure, including theDatabricks platformOur mission is toempower teamsensuringhigh-performance, cost-effective solutionsthat optimize workloads and improve efficiency. We are looking for aSenior Data Engineerwith a strong focus onDatabricks optimizationto help users fine-tune their workloads and contribute tocloud infrastructure enhancementsAs aSenior Data Engineer - Databricks Optimization Specialistyou will play a crucial role inoptimizing Databricks workloadsensuring high performance while minimizing costs and resource usage. You will work closely with users toenhance Spark query performancefine-tune resource allocation, and implementbest practices in DatabricksProficiency inPySpark, Spark optimization, and query tuningis essential.Knowledge of Azure cloud servicesis a plus.Key ResponsibilitiesOptimize Databricks workloadsto improve efficiency and reduce costs.Analyze and fine-tune Spark queriesfor optimal performance.Provide best practicesfor Databricksresource allocation and cluster managementTroubleshoot and resolveperformance bottlenecks.Implement cost-saving measuresand automate workload management.Develop and documentperformance optimization strategies.Stay updatedwith the latestDatabricks and Sparkadvancements and recommend improvements.Support cloud infrastructure projectsand advise on Databricks-Azure integrations.Assist in cloud infrastructure implementationand support various use cases.QualificationsEducation :Degree inComputer Science, Data Engineeringor a related field (or equivalent experience).Experience :Proven experience as aData Engineerwith a strong focus onDatabricks optimizationHands-on expertise inPySpark and Spark performance tuningExperience inquery performance tuning and workload optimizationKnowledge ofcost-saving techniqueswithin Databricks.Know-how :Deep understanding ofdistributed computingbig data processingExpertise inDatabricks resource allocation, cluster management, and automationFamiliarity withAzure cloud servicesis a plus.Languages :Fluency in Englishwritten and spoken) is required.Additional languages are a plus.Working Style and Methods :Strongproblem-solving skillsand ability totroubleshoot performance bottlenecksAbility towork independentlywhile collaborating with teams.Proactive instaying updatedwith Databricks and Spark advancements.Personality :High level ofinitiative, ownership, and autonomyExcellentcommunication and collaboration skillsto support users effectively.Passion forefficiency, optimization, and continuous improvementWhy Join Us?Work in afast-paced, innovative environmentOpportunity toinfluence and optimizea critical data platform. Collaborate with apassionate teamfocused on data and technology. Enjoy acompetitive salary and benefits packageAccesscontinuous learning and professional growth opportunitiesAdditional InformationWork #LikeABosch includes :Flexible work conditions Hybrid work system Exchange with colleagues around the world ⚕ Health insurance and medical office on site (general clinic) Training opportunities (p.e., technical training, foreign languages training) & certifications Opportunities for career progression and continuous professional development Access to great discounts in partnerships and Bosch Sports and health related activities (gym) Great access to public transports Free parking lot CanteenSuccess stories don´t just happen. They are made...Make it happen. We are looking forward to your application!