Senior Data Engineer with Python

Camlin 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.
We 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).
This 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.
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 AI and data projects.
Anomaly detection on sensor data
Asset monitoring and operational intelligence platforms
Noisy and incomplete sensor data
Translating unclear requirements into practical delivery plans
Design and build AI and data systems from early concept through model creation
Work closely with data scientists, product managers, and domain experts to shape technical solutions
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 and ML workflows using modern cloud-native tooling
Help drive measurable outcomes with clear KPIs and visible business impact
Improve engineering quality, maintainability, and operational reliability across the stack
Python
Modern cloud-based data platforms
Large-scale industrial and time-series datasets
Experience building real-world AI, ML, or data products
Experience working across data engineering and ML systems, not just isolated pipelines
Pragmatic engineering mindset focused on outcomes and business impact
Primarily identify as a pipeline-only or ETL-focused engineer
This 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.
Reducing uncertainty and technical risk early
Helping teams make better engineering and product decisions
Building trust across engineering, product, and domain teams
Driving predictable delivery in complex industrial environments
Work on unusual industrial and energy datasets
Help shape the future direction of AI systems in critical infrastructure
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.
Internal Reward & Recognition Tool Kudos: This streamlines and automates the process of acknowledging and appreciating employees and helps contribute to our positive workplace culture.
We won’t accept the ‘way it’s always been done’