Senior Data Engineer

09 set - Roma
Camlin Group

pstrongAbout Camlin Group: /strong /ppCamlin 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. /ppbr / /ppWe 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). /ppbr / /ppThis 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. /ppbr / /ppWe 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. /ppbr / /ppstrongWhat you'll work on: /strong /ppYou’ll help build AI and data products used in energy environments, including: /pulliPredictive maintenance systems for critical infrastructure /liliAnomaly detection on sensor data /liliAsset monitoring and operational intelligence platforms /liliEnergy forecasting and time-series modelling systems /liliProduction ML systems operating on large-scale multimodal datasets /li /ulpThe work involves difficult real-world constraints: /pulliNoisy and incomplete sensor data /liliSparse labels and uncertain signals /liliLarge-scale time-series datasets /liliScaling AI systems into real world solutions /liliTranslating unclear requirements into practical delivery plans /li /ulpbr / /ppstrongWhat you'll do: /strong /pulliDesign and build AI and data systems from early concept through model creation /liliWork closely with data scientists, product managers,



and domain experts to shape technical solutions /liliTurn ambiguous business and operational problems into structured engineering plans /liliPrototype and validate ideas quickly to reduce technical and product risk early /liliBuild scalable data and ML workflows using modern cloud-native tooling /liliInfluence technical direction, architecture decisions, and product roadmap discussions /liliEvaluate trade-offs between model accuracy, reliability, complexity, latency, and operational cost /liliHelp drive measurable outcomes with clear KPIs and visible business impact /liliImprove engineering quality, maintainability, and operational reliability across the stack /li /ulpbr / /ppstrongOur current tech stack includes: /strong /pulliPython /liliApache Spark /liliDatabricks /liliMLflow /liliModern cloud-based data platforms /liliLarge-scale industrial and time-series datasets /li /ulpbr / /ppstrongWhat we are looking for: /strong /pulliExperience building real-world AI, ML, or data products /liliExperience working across data engineering and ML systems, not just isolated pipelines /liliComfortable operating in environments with uncertainty and evolving requirements /liliPragmatic engineering mindset focused on outcomes and business impact /liliAbility to make and communicate trade-offs clearly /liliSystems thinker who can connect architecture, product goals, and operational constraints /liliStrong communication skills with both technical and non-technical stakeholders /liliCollaborative approach with a willingness to challenge assumptions constructively /li /ulpbr / /ppThis role is probably strongnot /strong a good fit if you: /pulliPrimarily identify as a pipeline-only or ETL-focused engineer /liliPrefer fully specified requirements before starting work /liliWant narrowly scoped responsibilities without product or technical ownership /li /ulpbr / /ppThis 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. /ppbr / /ppstrongSuccess in this role means: /strong /pulliDelivering AI systems that create measurable operational value /liliReducing uncertainty and technical risk early /liliHelping teams make better engineering and product decisions /liliBuilding trust across engineering, product, and domain teams /liliDriving predictable delivery in complex industrial environments /li /ulpbr / /ppstrongWhy this role stands out: /strong /pulliWork on unusual industrial and energy datasets /liliBuild AI capabilities with visible business impact /liliSolve technically challenging real-world problems /liliOperate with meaningful ownership and influence /liliHelp shape the future direction of AI systems in critical infrastructure /li /ulpbr / /ppstrongBenefits: /strong /pullistrongDaily food vouchers: /strong for days worked in person in the premises. /lilistrongTraining Support: /strong 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. /lilistrongDiscounted Gym Membership: /strong Stay fit with our discounted gym membership program. /lilistrongWellness Programs: /strong We prioritise your well-being through our wellness initiatives. /lilistrongInternal Reward Recognition Tool Kudos: /strong This streamlines and automates the process of acknowledging and appreciating employees and helps contribute to our positive workplace culture. /li /ulpbr / /ppstrongOur Values /strong /pulliWe work together /liliWe believe in people /liliWe won’t accept the ‘way it’s always been done’ /liliWe listen to learn /liliWe’re trying to do the right thing /li /ulpbr / /ppstrongEQUAL EMPLOYMENT OPPORTUNITY STATEMENT /strong /ppIndividuals 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. /p

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