Senior Data Engineer (Software)
We are looking for a Senior 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.
As a Senior Data Engineer, in a addition to technical execution, you will be expected to :
Take end‐to‐end ownership of data products, from technical discovery and design. through delivery, operation, and continuous improvement.
Provide technical leadership across initiatives, implementation approaches, and engineering best practices.
Mentor and support engineers through coaching, collaboration, and knowledge sharing.
Drive design and implementation decisions, balancing short‐term delivery needs with long‐term maintainability and scalability.
Champion high standards of quality, reliability, security, and operational excellence across the platform.
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
Expert‐level PySpark and Databricks experience in production environments
Strong SQL and data modelling skills
Knowledge of C#/.NET is a plus
Strong understanding of software engineering principles, system design, and distributed systems
Experience leading technical initiatives, making architecture decisions, and clearly communicating trade‐offs to both technical and non‐technical stakeholders
Ability to design, build, and maintain scalable, reliable, and observable data systems across the full data lifecycle
Experience implementing CI/CD, automated testing, and engineering best practices to improve quality, maintainability, and delivery speed
Strong ownership mindset to deliver end‐to‐end data‐driven products
Comfortable operating in environments with uncertainty, translating complex business and operational challenges into practical engineering plans
Strong systems‐thinking mindset, able to connect product goals, data architecture, operational constraints, and business outcomes
Collaborative and proactive leader who takes ownership, mentors others, constructively challenges assumptions, and drives measurable business impact through high‐quality engineering solutions
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.
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.
As a Senior Data Engineer, in a addition to technical execution, you will be expected to :
Take end‐to‐end ownership of data products, from technical discovery and design. through delivery, operation, and continuous improvement.
Provide technical leadership across initiatives, implementation approaches, and engineering best practices.
Mentor and support engineers through coaching, collaboration, and knowledge sharing.
Drive design and implementation decisions, balancing short‐term delivery needs with long‐term maintainability and scalability.
Champion high standards of quality, reliability, security, and operational excellence across the platform.
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
Expert‐level PySpark and Databricks experience in production environments
Strong SQL and data modelling skills
Knowledge of C#/.NET is a plus
Strong understanding of software engineering principles, system design, and distributed systems
Experience leading technical initiatives, making architecture decisions, and clearly communicating trade‐offs to both technical and non‐technical stakeholders
Ability to design, build, and maintain scalable, reliable, and observable data systems across the full data lifecycle
Experience implementing CI/CD, automated testing, and engineering best practices to improve quality, maintainability, and delivery speed
Strong ownership mindset to deliver end‐to‐end data‐driven products
Comfortable operating in environments with uncertainty, translating complex business and operational challenges into practical engineering plans
Strong systems‐thinking mindset, able to connect product goals, data architecture, operational constraints, and business outcomes
Collaborative and proactive leader who takes ownership, mentors others, constructively challenges assumptions, and drives measurable business impact through high‐quality engineering solutions
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.