{"id":2701641,"url":"https://alion.io/job/kbc-global-services-data-engineer-ai-tools-platforms","title":"Data Engineer – AI Tools & Platforms","company":{"id":4402786,"name":"KBC Global Services","domain":"kbc-group.com","url":"https://alion.io/company/kbc-global-services","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sofia, Bulgaria"],"countries":["BG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":64000,"period":"year","method":"role_country_seniority_unknown","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-16T11:16:38Z","employer_posted_date":null,"last_verified_at":"2026-10-16T11:16:38Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"KBC Global Services is the engine behind KBC Group – a leading bank-insurance group with over 41,000 talented employees serving more than 12 million clients across Europe. Since 2021, we have been supporting the digital transformation of KBC Group providing software development, QA, AI, and other IT solutions working on a wide range of projects combining classical IT with digital banking.\n\nAre you passionate about Cloud technologies, AI and MLOps? Do you want to work with modern cloud-native platforms that empower Data Scientists, Analysts and AI initiatives across KBC Group? Are you excited about building scalable solutions, automating workflows and enabling the next generation of data and AI products? Then you’ve come to the right place!\n\nWhy us? Because we care. Choosing us, you are choosing work that works for you.\n\nAs our Data Engineer, you would have the following responsibilities:\n\nYou will design, build and maintain cloud-native platform services supporting AI models and data solutions;\n\nYou will help manage and further develop a multi-user Jupyter environment and cloud-based development platforms;\n\nYou will build and maintain frameworks for training, storing, serving and monitoring machine learning models;\n\nYou will automate data processing and model lifecycle workflows using modern MLOps practices;\n\nYou will manage cloud infrastructure and platform services running on AWS;\n\nYou will collaborate closely with engineers, architects and stakeholders across multiple countries within KBC Group;\n\nYou will ensure platform reliability, scalability, security and cost-efficiency;\n\nYou will contribute to the continuous evolution of our cloud and MLOps ecosystem.\n\nKey competences that will help you succeed:\n\nWorking experience with the following technologies: Python, AWS, Docker, Kubernetes, Terraform, CI/CD tools (e.g. Jenkins or GitHub Actions), Spark and Airflow;\n\nExperience working with cloud infrastructure and platform engineering;\n\nUnderstanding of DevOps, Data Engineering and MLOps concepts;\n\nAbility to automate, monitor and optimize cloud-based solutions.\n\nYou are a perfect fit for us if:\n\nYou are eager to learn and have an open mind towards new tools, technologies, processes and ways of working;\n\nYou have a strong interest in Cloud, Data and AI technologies;\n\nYou are a team player who enjoys collaborating in an international environment;\n\nYou can communicate effectively with technical and non-technical stakeholders;\n\nYou take ownership and proactively drive initiatives forward;\n\nYou have strong analytical and problem-solving skills;\n\nAnd above all you have a lot of common sense.\n\nA significant advantage would be to have:\n\nExperience with MLOps platforms and machine learning model deployment;\n\nKnowledge of Generative AI technologies and AI platform services;\n\nExperience supporting large-scale data science environments and analytical platforms;\n\nExperience working with Jupyter-based platforms and cloud IDE environments.\n\nIf you find this job opportunity interesting and you recognize yourself in the above, apply via the button with your CV in English.","description_format":"text","description_chars":3110,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","IT Consulting & Digital Transformation","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-16T11:16:38Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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