Medior/Senior Data Ops Engineer

h3Medior/Senior Data Ops Engineering Consultant /h3 pPermanent /p pFR or NL + EN /p pOur Digital Data team 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 30 years of expertise, we remain at the forefront of innovation, revolutionizing business transformation across industry with the full potential of vanguard Data technologies at scale in a sustainable way. /p pWe have a significant international presence, with 20% of our activity extending beyond Belgium, and this number continues to grow. By joining us, you will be part of a global impact on businesses around the world. /p h3Check out some of our ongoing projects: /h3 ul liAt bCarrefour /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 liBig Pharma International Company: Orange 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 liFor Paradigm, Orange 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 pThis is a great opportunity for someone who enjoys owning deliverables, working close to the business, and growing their craft in a supportive, high-standards engineering culture. /p pInterested in taking part in this exciting journey? Please take a look at the following requirements and let’s meet up if that matches

your profile
/p h3What You’ll Do: /h3 pAll the responsibilities we’ll trust you with /p pAs Data Ops engineer, your role will involve developing, testing, and continuously deploying data solutions in cloud environments. Your expertise will help optimize data workflows, orchestrating end-to-end data lifecycles and ensuring efficient data pipeline operations for our clients across various sectors. /p ul libLead the Way: /b Use an analytical, data-driven approach to support business cases. /li libEngage with Stakeholders and Get Creative: /b Work with clients and partners to design data pipelines and deliver insightful analytics while ensuring data integrity. /li libUse your technical knowledge: /b implement effective solutions by leveraging top-notch technologies and automating key components of client’s infrastructure. /li libMentor and Collaborate: /b Possibility to give training in our Cloud and Data Academy or present advanced tech topics during Lunch Learn session. /li /ul h3Who you are: /h3 pWhat matters most for this role /p h3Your interests soft

skills:
/h3 ul liInterest in bdigital transformation /b and bdata-driven /b solutions /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 h3Your technical expertise: /h3 ul libA master’s degree /borb PhD /bin Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field /li libAt least 3 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 h3It is not a requirement, but other preferred qualifications would be: /h3 ul libDevOps methodologies: /b Familiar with DevOps practices, automation tools, and continuous integration/continuous delivery (CI/CD) pipelines. /li libProgramming