Senior Data Engineer

About Camlin Group:

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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.

What you'll work on:
You’ll help build AI and 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
Production ML systems operating on large-scale multimodal datasets
The work involves difficult real-world constraints:
Noisy and incomplete sensor data
Sparse labels and uncertain signals
Large-scale time-series datasets
Scaling AI systems into real world solutions
Translating unclear requirements into practical delivery plans

What you'll do:
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
Influence technical direction, architecture decisions, and product roadmap discussions
Evaluate trade-offs between model accuracy, reliability, complexity, latency, and operational cost
Help drive measurable outcomes with clear KPIs and visible business impact
Improve engineering quality, maintainability, and operational reliability across the stack

Our current tech stack includes:
Python
Apache Spark
Databricks
MLflow
Modern cloud-based data platforms
Large-scale industrial and time-series datasets

What we are looking for:
Experience building real-world AI, ML, or data products
Experience working across data engineering and ML 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 probably

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

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.

Success in this role means:
Delivering AI systems that create measurable operational value
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

Why this role stands out:
Work on unusual industrial and energy datasets
Build AI capabilities with visible business impact
Solve technically challenging real-world problems
Operate with meaningful ownership and influence
Help shape the future direction of AI systems in critical infrastructure

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. xysqume

Our Values
We work together
We believe in people
We won’t accept the ‘way it’s 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 status, ancestry, physical or mental disability, gender identity, or sexual orientation.