ABOUT CAMLIN GROUP:

Camlin is a global technology leader with a bold vision: to bring revolutionary products to life across diverse industries like power and rail. Our passion extends to pioneering R&D projects in various scientific sectors.
At Camlin, we thrive on high-quality engineering and innovative design, crafting market-leading products and services. Simply put, we love creating value for our customers by tackling the toughest challenges. Today, Camlin’s influence spans over 20 countries worldwide.
As a Data Engineer at Camlin, you’ll be at the forefront of energy innovation through data. You’ll collaborate with a dynamic team of data engineers, machine learning experts, and data scientists, playing a crucial role in identifying our organisation’s data needs and driving strategic plans to meet them.
Your role will encompass a wide array of exciting tasks, from architecting software solutions and designing data models to implementing cutting-edge data science and machine learning algorithms. You’ll enhance our tools and applications by proactively addressing bugs, refactoring code, and ensuring top-tier quality.
We’re on the lookout for talented individuals with varying levels of experience, from mid-level to senior positions. Join us and be part of a team that’s shaping the future!

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

• Collaborate with cross-functional teams to identify and address data-related requirements, contributing to strategic planning and execution.
• Architect and develop data solutions, spanning from backend infrastructure to data model design and the implementation of data science and machine learning algorithms.
• Lead development activities, mentor team members and share your knowledge in a context of continuous improvement.
• Continuously enhance the quality of our tools and applications through bug fixes and code refactoring.
• Leverage the latest data technologies and programming languages, including Python, Scala, and Java, along with systems like Spark, Kafka, and Airflow, within cloud services such as AWS.
• Ensure the ongoing maintenance, troubleshooting, optimization, and reliability of data systems, including timely resolution of unexpected issues.
• Stay abreast of emerging technologies through research and testing, unlocking opportunities for productivity improvements and ensuring our market-leading services for customers.