Senior Data Engineer

About Camlin Group:

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.

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

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.