About Camlin Group:Camlin develops industrial technology and AI-driven systems used across the energy sector in more than 20 countries. We work on difficult real-world problems involving critical infrastructure, industrial sensor networks, and operational intelligence.We are looking for a Senior AI & Data Engineer to help design and deliver AI and data products focused on predictive maintenance, anomaly detection, asset monitoring, and energy forecasting. This is a hybrid working permanent role (3 days on-site, 2 days work from home).This is a highly hands-on engineering role for someone who enjoys solving difficult AI and data problems in real operational environments. You’ll work closely with domain experts, product stakeholders, and engineers to turn data into reliable systems that create measurable business impact.We are looking for someone who can combine strong technical execution with the ability to bring structure, clarity, and momentum to complex engineering initiatives. You’ll play an important role in shaping technical plans and driving delivery across AI and data projects.What you'll work on:You’ll help build AI and data products used in energy environments, including:Predictive maintenance systems for critical infrastructureAnomaly detection on sensor dataAsset monitoring and operational intelligence platformsEnergy forecasting and time-series modelling systemsProduction ML systems operating on large-scale multimodal datasetsThe work involves difficult real-world constraints:Noisy and incomplete sensor dataSparse labels and uncertain signalsLarge-scale time-series datasetsScaling AI systems into real world solutionsTranslating unclear requirements into practical delivery plansWhat you'll do:Design and build AI and data systems from early concept through model creationWork closely with data scientists, product managers,



and domain experts to shape technical solutionsTurn ambiguous business and operational problems into structured engineering plansPrototype and validate ideas quickly to reduce technical and product risk earlyBuild scalable data and ML workflows using modern cloud-native toolingInfluence technical direction, architecture decisions, and product roadmap discussionsEvaluate trade-offs between model accuracy, reliability, complexity, latency, and operational costHelp drive measurable outcomes with clear KPIs and visible business impactImprove engineering quality, maintainability, and operational reliability across the stackOur current tech stack includes:PythonApache SparkDatabricksMLflowModern cloud-based data platformsLarge-scale industrial and time-series datasetsWhat we are looking for:Experience building real-world AI, ML, or data productsExperience working across data engineering and ML systems, not just isolated pipelinesComfortable operating in environments with uncertainty and evolving requirementsPragmatic engineering mindset focused on outcomes and business impactAbility to make and communicate trade-offs clearlySystems thinker who can connect architecture, product goals, and operational constraintsStrong communication skills with both technical and non-technical stakeholdersCollaborative approach with a willingness to challenge assumptions constructivelyThis role is probably not a good fit if you:Primarily identify as a pipeline-only or ETL-focused engineerPrefer fully specified requirements before starting workWant narrowly scoped responsibilities without product or technical ownershipThis role starts as a senior individual contributor position with strong technical influence. Over time, the expectation is that you will increasingly shape technical plans, mentor engineers, and take ownership of larger AI and data initiatives across the organization.Success in this role means:Delivering AI systems that create measurable operational valueReducing uncertainty and technical risk earlyHelping teams make better engineering and product decisionsBuilding trust across engineering, product, and domain teamsDriving predictable delivery in complex industrial environmentsWhy this role stands out:Work on unusual industrial and energy datasetsBuild AI capabilities with visible business impactSolve technically challenging real-world problemsOperate with meaningful ownership and influenceHelp shape the future direction of AI systems in critical infrastructureBenefits:Daily food vouchers: for days worked in person in the premises.Training Support: We offer financial assistance for your training and development, based on company discretion. We also have an internal training platform to support your professional and personal development.Discounted Gym Membership: Stay fit with our discounted gym membership program.Wellness Programs: We prioritise your well-being through our wellness initiatives.Internal Reward & Recognition Tool Kudos: This streamlines and automates the process of acknowledging and appreciating employees and helps contribute to our positive workplace culture.Our ValuesWe work togetherWe believe in peopleWe won’t accept the ‘way it’s always been done’We listen to learnWe’re trying to do the right thingEQUAL EMPLOYMENT OPPORTUNITY STATEMENTIndividuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, gender identity, or sexual orientation.

📌 Senior Data Engineer (Italia)
🏢 Camlin Group
📍 Italia