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Camlin

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Data Engineer (Software)

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Summary

Data engineer at Camlin (Belgrade, on-site) building end-to-end data products for energy infrastructure — predictive maintenance, anomaly detection, and energy forecasting — using Python, PySpark/Databricks, PostgreSQL, and AWS, collaborating with data scientists, backend, and frontend teams on a SaaS offering.


What you'll work on:

You’ll help build data products used in energy environments, including:

  • Predictive maintenance systems for critical infrastructure
  • Anomaly detection on sensor data
  • Asset monitoring and operational intelligence platforms
  • Energy forecasting and time-series modelling systems


The work involves complex real-world constraints:

  • Noisy and incomplete sensor data
  • Sparse labels and uncertain signals
  • Large-scale time-series datasets
  • Scaling systems into real world solutions
  • Translating unclear requirements into practical delivery plans



What you'll do:

  • Design and build end-to-end data-driven products that are part of our SaaS offering
  • Work closely with data scientists, product managers, and domain experts to shape technical solutions
  • Work alongside frontend, backend, and data engineers to deliver customer-facing features, supporting the development of backend APIs and frontend visualizations
  • Turn ambiguous business and operational problems into structured engineering plans
  • Prototype and validate ideas quickly to reduce technical and product risk early
  • Build scalable data pipelines using modern cloud-native tooling
  • Influence technical direction, architecture decisions, and product roadmap discussions
  • Improve engineering quality, maintainability, and operational reliability across the stack


Our current tech stack includes:

  • Python
  • Apache Spark
  • Databricks
  • PostgreSQL
  • Modern cloud-based data platforms (AWS)
  • C#/.NET


What we are looking for:

Mandatory knowledge of

  • PySpark/Databricks
  • CI/CD pipelines
  • Knowledge of C#/.NET is a plus
  • Experience building real-world data products
  • Experience working across data engineering systems, not just isolated pipelines
  • Comfortable operating in environments with uncertainty and evolving requirements
  • Pragmatic engineering mindset focused on outcomes and business impact
  • Ability to make and communicate trade-offs clearly
  • Systems thinker who can connect architecture, product goals, and operational constraints
  • Strong communication skills with both technical and non-technical stakeholders
  • Collaborative approach with a willingness to challenge assumptions constructively


This role is not a good fit if you:

  • Primarily identify as a pipeline-only or ETL-focused engineer
  • Prefer fully specified requirements before starting work
  • Want narrowly scoped responsibilities without product or technical ownership


Our Values

  • We work together
  • We believe in people
  • We won’t accept the ‘way it has always been done’
  • We listen to learn
  • We’re trying to do the right thing


Equal Employment Opportunity Statement

Individuals 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 orientation.

Skills

See also

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