Senior Data Engineer

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. /p pWe 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). /p pThis 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. /p pWe 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. /p h3What you’ll work on: /h3 pYou’ll help build AI and data products used in energy environments, including: /p ul liPredictive maintenance systems for critical infrastructure /li liAnomaly detection on sensor data /li liAsset monitoring and operational intelligence platforms /li liEnergy forecasting and time‑series modelling systems /li /ul pThe work involves difficult real‑world constraints: /p ul liNoisy and incomplete sensor data /li liSparse labels and uncertain signals /li liScaling AI systems into real world solutions /li liTranslating unclear requirements into practical delivery plans /li /ul h3What you’ll do: /h3 ul liDesign and build AI and data systems from early concept through model creation /li liWork closely with data scientists, product managers, and domain experts to shape technical solutions /li liTurn ambiguous business and operational problems into structured engineering plans /li liPrototype and validate ideas quickly to reduce technical and product risk early /li liBuild scalable data and ML workflows using modern cloud‑native tooling /li liInfluence technical direction, architecture decisions, and product roadmap discussions /li liEvaluate trade‑offs between model accuracy, reliability, complexity, latency, and operational cost /li liHelp drive measurable outcomes with clear KPIs and visible business impact /li liImprove engineering quality, maintainability, and operational reliability across the stack /li liPython /li liDatabricks /li liMLflow /li liModern cloud‑based data platforms /li liLarge‑scale industrial and time‑series datasets /li /ul h3What we are looking for: /h3 ul liExperience building real‑world AI, ML, or data products /li liExperience working across data engineering and ML systems, not just isolated pipelines /li liComfortable operating in environments with uncertainty and evolving requirements /li liPragmatic engineering mindset focused on outcomes and business impact /li liAbility to make and communicate trade‑offs clearly /li liSystems thinker who can connect architecture, product goals, and operational constraints /li liStrong communication skills with both technical and non‑technical stakeholders /li liCollaborative approach with a willingness to challenge assumptions constructively /li /ul pThis role is probably not a good fit if you: /p ul liPrimarily identify as a pipeline‑only or ETL‑focused engineer /li liPrefer fully specified requirements before starting work /li liWant narrowly scoped responsibilities without product or technical ownership /li /ul pThis 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. /p h3Success in this role means: /h3 ul liDelivering AI systems that create measurable operational value /li liReducing uncertainty and technical risk early /li liHelping teams make better engineering and product decisions /li liBuilding trust across engineering, product, and domain teams /li liDriving predictable delivery in complex industrial environments /li /ul h3Why this role stands out: /h3 ul liWork on unusual industrial and energy datasets /li liBuild AI capabilities with visible business impact /li liSolve technically challenging real‑world problems /li liOperate with meaningful ownership and influence /li liHelp shape the future direction of AI systems in critical infrastructure /li libDaily food vouchers /b: for days worked in person in the premises. /li libTraining Support /b: 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. /li libDiscounted Gym Membership /b: Stay fit with our discounted gym membership program. /li libWellness Programs /b: We prioritise your well‑being through our wellness initiatives. /li libInternal Reward Recognition Tool Kudos /b: This streamlines and automates the process of acknowledging and appreciating employees and helps contribute to our positive workplace culture. /li /ul h3Our Values /h3 ul liWe work together /li liWe believe in people /li liWe won’t accept the ‘way it’s always been done’ /li liWe listen to learn /li liWe’re trying to do the right thing /li /ul h3Equal Employment Opportunity Statement /h3 pIndividuals 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 /p #J-18808-Ljbffr