Techical Team Lead

pbTechical Team Lead
- Data Ops Engineering
- Consultant /b /p pPermanent /p pbFR or NL + EN /b /p pOur Digital Data division at Orange Business is a dynamic community of expert consultants revolutionizing Customer Experience, Cloud, Data, and AI across various sectors, including retail, finance, manufacturing, life sciences, and public services. /p pWith more than 30 years of expertise, we remain at the forefront of innovation, transforming business across industry with the full potential of vanguard Data technologies at scale in a sustainable way. /p pbCheck out some of our ongoing projects: /b /p ul libAt Carrefour /b Orange Business ensures the seamless operation and evolution of the Data Platform, managing both analytical and operational data flows with a focus on reliability and performance. We handle diverse workloads, including batch and stream processing. By processing everyday terabytes of data that feed dashboards and web APIs, we empower Carrefour to leverage data-driven insights and support their business growth. /li libBig Pharma International Company: /bOrange Business migrated a Drug Discovery Data Platform hosted on-premises from a Hadoop stack to Azure. During the migration, we improved various data flows to reduce processing time, implemented proactive data quality checks, and optimized the CI/CD pipelines. Our efforts resulted in a more efficient and reliable platform, allowing scientists to quickly and safely assess the potential of tested molecules for new drugs development. /li libFor Paradigm, /bOrange Business created a data platform and a unified set of tools for all public sector to conduct data projects, with a focus on Kubernetes and DevOps processes to enable self-service and standardization. We were able to handle many projects from all administrations, ranging from API management to data processing analytics, as well as data science modelling. /li /ul pbWhat You’ll Do: /b /p pAll the responsibilities we’ll trust you with /p pYour role will involve the management of our Data Ops team as a highly skilled data engineer. You will take on a leadership role while continuing to deliver strong value to our customers through your work as a consultant on data engineering projects, developing, testing, and continuously deploying data solutions in cloud environments. /p ul libTeam Leadership: /b Mentor and manage a team of 10–15 consultants while building a strong team spirit through regular follow-up and team activities. /li libStrategy: /b Define and implement the team strategy in collaboration with the other data team leads within the Data Cloud chapter. /li libCulture Development: /b Foster a positive, innovative, and excellence-driven culture while supporting consultants’ growth through guidance, motivation, and tailored training plans. /li libRecruitment Capability Building: /b Contribute to team growth by recruiting new resources and aligning skills with company objectives, market evolution, and sector needs. /li libSales Business Development: /b Support sales and pre-sales activities by responding to staffing requests, RFIs, and RFPs, and by contributing innovative solutions for prospects and clients. /li libConsultant staffing: /b optimize staffing based on company performance, client needs, and individual ambitions. /li libConsulting Delivery: /b Continue contributing as a consultant on data engineering projects, helping clients solve data challenges while shaping the Cloud Data offering. /li /ul pbWho you are: /b /p pWhat matters most for this role /p ul liInterest in bdigital transformation /b and bdata-driven /bsolutions /li liInitial experience in a bleadership role /b. /li libProactive mindset /b and boutside the boxthinking /b to tackle challenges. /li liYou are able to bexplain technical concepts to a non-technical audience /b. /li liYou excel inb interpersonal communication /b and know how to have a bprofessional and commercial approach /b with customers. /li liYou value bcollaboration /b as a way to succeed /li liStrong bcommunication /b and bpresentation /b skills in bFrench /b and/or bDutch /b + bEnglish /b /li /ul pbYour technical expertise: /b /p ul libA master’s degree /borb PhD /bin Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field /li libAt least 5 years of relevant experience /b as a bData/DevOps/Software Engineer /b. /li liA strong interest in bdata management /b (databases systems and ETL processes). /li libProgramming: /b A strong SQL and Python knowledge. /li libDeployment and Orchestration: /b Experience working with deployment and orchestration technologies (i.e., Docker, Kubernetes, Terraform, Airflow, etc.). /li libData-Oriented Mindset: /b you possess a good knowledge of data modeling and data-architecture core concepts. /li /ul pbIt is not a requirement, but other preferred qualifications would be: /b /p ul libDevOps methodologies: /bFamiliar with DevOps practices, automation t