{"id":676020,"url":"https://alion.io/job/camlin-data-engineer-software","title":"Data Engineer (Software)","company":{"id":668999,"name":"Camlin","domain":"camlin.co","url":"https://alion.io/company/camlin","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"A","score":85,"open_postings":17,"ghost_share":0,"stale_share":0.588,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Belgrade, Serbia"],"countries":["RS"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":91000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"pySpark","optional":false},{"name":"Time Series","optional":false},{"name":"AWS","optional":true},{"name":"ETL/ELT","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-09T18:57:31Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-11-04T04:03:10Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":54},"description":"About Camlin\nCamlin develops industrial technology and AI-driven systems used across the energy sector in more than 20 countries. We work on complex real-world problems involving critical infrastructure, industrial sensor networks, and operational intelligence.\nWe are looking for a Senior Data Engineer to help design and deliver data products focused on predictive maintenance, anomaly detection, asset monitoring, and energy forecasting.\nThis is a highly hands-on engineering role for someone who enjoys solving difficult 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.\nWe 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 a suite of data-driven products.\nWhat you'll work on:\nYou’ll help build data products used in energy environments, including:\nPredictive maintenance systems for critical infrastructure \nAnomaly detection on sensor data \nAsset monitoring and operational intelligence platforms \nEnergy forecasting and time-series modelling systems \nThe work involves complex real-world constraints:\nNoisy and incomplete sensor data \nSparse labels and uncertain signals \nLarge-scale time-series datasets \nScaling systems into real world solutions \nTranslating unclear requirements into practical delivery plans \nWhat you'll do:\nDesign and build end-to-end data-driven products that are part of our SaaS offering \nWork closely with data scientists, product managers, and domain experts to shape technical solutions \nWork alongside frontend, backend, and data engineers to deliver customer-facing features, supporting the development of backend APIs and frontend visualizations \nTurn ambiguous business and operational problems into structured engineering plans \nPrototype and validate ideas quickly to reduce technical and product risk early \nBuild scalable data pipelines using modern cloud-native tooling \nInfluence technical direction, architecture decisions, and product roadmap discussions \nImprove engineering quality, maintainability, and operational reliability across the stack \nOur current tech stack includes:\nPython \nApache Spark \nDatabricks \nPostgreSQL \nModern cloud-based data platforms (AWS) \nC#/.NET \nWhat we are looking for:\nMandatory knowledge of\nPySpark/Databricks \nCI/CD pipelines \nKnowledge of C#/.NET is a plus \nExperience building real-world data products \nExperience working across data engineering systems, not just isolated pipelines \nComfortable operating in environments with uncertainty and evolving requirements \nPragmatic engineering mindset focused on outcomes and business impact \nAbility to make and communicate trade-offs clearly \nSystems thinker who can connect architecture, product goals, and operational constraints \nStrong communication skills with both technical and non-technical stakeholders \nCollaborative approach with a willingness to challenge assumptions constructively \nThis role is not a good fit if you:\nPrimarily identify as a pipeline-only or ETL-focused engineer \nPrefer fully specified requirements before starting work \nWant narrowly scoped responsibilities without product or technical ownership\nOur Values\nWe work together\nWe believe in people\nWe won’t accept the ‘way it has always been done’\nWe listen to learn\nWe’re trying to do the right thing\nEqual Employment Opportunity Statement\nIndividuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital states, ancestry, physical or mental disability, gender identity or sexual 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