Data Support

OverviewFounded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.Delivering Impact with Data. At CFM, innovation and the quest for discovery are at the heart of what we do. Our Data Team plays a pivotal role in transforming diverse data sources into powerful predictors, helping achieve remarkable returns for our clients. We foster an environment where curiosity thrives—an ideal workspace for exceptional PhDs, IT engineers, and industry experts. As a proudly recognized Great Place to Work, we invite individuals who are passionate about innovation and eager to make an impactful difference.Why You\'ll Love Working HereThrive in a culture that values excellence and the pursuit of high-quality standards.Collaborate with a team dedicated to delivering clear and impactful results for our clients.Make a tangible impact on the financial technology landscape, responding to clients\' changing needs.Your Role: Support & Reliability EngineerAs a Support & Reliability Engineer, you will be responsible for managing and ensuring the reliability of data systems and processes within the Data Technology department.You will work closely with development teams, data engineers, and data scientists to ensure the availability, quality, and performance of data pipelines and underlying systems.Key ResponsibilitiesData Support & OperationsProvide Level 1 support for data domains, managing alerts and incidentsDrive support best practices and documentationAct as gatekeeper for Data Release Management (CMRM process)Data Reliability ManagementImplement proactive monitoring for data quality, integrity, and consistencyDefine and enforce data management policies (backup, recovery, security)Automation & Best PracticesAutomate recurring data tasks to improve efficiency and reduce errorsEstablish continuous monitoring to detect anomaliesPromote development best practices focused on data reliabilityChampion "data as a product" approach with Platform teamsCross-functional CollaborationPartner with development teams, data engineers, and data scientists to understand requirementsTroubleshoot data-related issues collaborativelyProvide technical guidance on data management with the best practicesQualifications & SkillsEducational Background: Bachelor’s or master’s degree in computer science, Software Engineering, or a related field.Professional Experience: Minimum 7 years’ experience as a Support Engineer, Data Engineer or Data Ops.Skills: Strong knowledge of data engineering principles, data processing technologies, and basic ETL principles.Expertise in Data governanceProficient in programming languages such as Python, SQL, and Shell scripting.Familiarity with cloud environments (AWS) and ideally technologies such as Spark, Kafka, etc.Strong knowledge of financial sectorCollaborative and Communicative: Ability to work independentlyExcellent communication and problem-solving skillsPassionate about creating impactCapacity to work in a fast-paced, high-stakes environmentGood proficiency in EnglishExcellent leadership and project management skillsEQUAL OPPORTUNITIES STATEMENTWe are continuously striving to be an equal opportunity employer, and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.CFM is a signatory of the Women Empowerment Principles.FOLLOW USFollow us on Twitter or LinkedIn or visit our website to find out more about CFM. #J-18808-Ljbffr