Data Engineer

*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!

*Key Responsibilities:*

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 AI systems.

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.

*What You'll Need:*

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Proficiency in programming languages such as Python, Scala or Java.

SQL knowledge for database querying and management.

Strong knowledge of relational and NoSQL databases (e.g., PostgreSQL, MongoDB) and data modeling principles.

Proven ability to design, build, and maintain scalable data pipelines and workflows using tools like Apache Airflow or similar.

Strong problem-solving and analytical skills.

Excellent communication and collaboration skills.

*Nice to have:*

Hands-on experience with data warehouse and lakehouse architectures (e.g., Databricks, Snowflake, or similar).

Experience with big data frameworks (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, or GCP).

*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

*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.