Data Engineer (Software)

Posted 8 Hours Ago
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Parma, ITA
In-Office
Entry level
Information Technology • Software • Energy • Renewable Energy
The Role
Build scalable data products and pipelines for predictive maintenance, anomaly detection, asset monitoring, and energy forecasting. Collaborate with data scientists, product managers, domain experts, and software engineers to design technical solutions, support APIs and visualizations, prototype ideas, and improve architecture, reliability, and maintainability across cloud-native systems.
Summary Generated by Built In

About Camlin

Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.


At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of now, Camlin operates in over 20 countries worldwide.🌐



We are looking for a Data Engineer to help design and deliver data products focused on predictive maintenance, anomaly detection, asset monitoring, and energy forecasting.


This 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.


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 a suite of data-driven products.


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


Benefits:

  • 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.


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 Required

  • Experience with PySpark and Databricks
  • Experience building real-world data products
  • Experience across data engineering systems, not only isolated pipelines
  • Experience with CI/CD pipelines
  • Ability to operate effectively with uncertainty and evolving requirements
  • Pragmatic engineering mindset focused on outcomes and business impact
  • Ability to communicate trade-offs clearly
  • Systems thinking across architecture, product goals, and operational constraints
  • Strong communication with technical and non-technical stakeholders
  • Collaborative approach and willingness to challenge assumptions constructively
  • Knowledge of C#/.NET
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The Company
HQ: Lisburn
315 Employees

What We Do

Transforming critical energy & rail infrastructures for our shared future. With bold determination and a spirit of invention, we're optimising the crucial systems of a resilient future — turning possibilities into progress every day.

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