Data Engineer
Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.
At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services.
In short, we love creating value for our customers by solving difficult problems.
As of today, the Camlin operation spans over 20 countries across the globe.
DESCRIPTION We are looking for candidates with diverse levels of experience, spanning from mid-level to senior-level positions.
As a Data Engineer at Camlin, you will be instrumental in shaping the future of energy through data innovation.
Collaborating closely with our dynamic team of data engineers, machine learning experts, and data scientists, you'll play a pivotal role in identifying the data-related needs of our organization and contributing to the execution of strategic plans to fulfil them.
Your responsibilities will span a diverse range of tasks, from architecting software solutions to designing data models and implementing cutting-edge data science and machine learning algorithms.
You'll be dedicated to enhancing our tools and applications by proactively addressing bugs, performing code refactoring, and ensuring top-notch quality.
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 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.
Stay abreast of emerging technologies through research and testing, unlocking opportunities for productivity improvements and ensuring our market-leading services for customers.
WHAT IS IN IT FOR YOU Impactful Contribution: Your work will directly contribute to building the future of the energy grid, promoting efficiency, reliability, and low CO2 emissions.
Collaborative Environment: Join a team of industry experts and innovators, fostering a rich environment for learning and growth.
Cutting-Edge Tools: Access and contribute to an advanced tech stack, exploring the latest tools and technologies and even pioneering new solutions.
Product Ownership: Engage in product development, challenging conventions, and creating innovative solutions that push boundaries.
Continuous Learning: Embrace opportunities for personal and professional development through training and education.
Flexibility: Choose between on-site and smart work options, to enable optimal productivity and work-life balance.
Competitive Compensation: Enjoy a competitive salary with regular evaluations and potential growth based on performance.
Work-Life Enjoyment: Participate in engaging team events and activities organized by our People Team, valuing both work and quality of life.
WHAT WE LOOK FOR Experience and Passion : Demonstrate a passion for data engineering, data modeling, and analytics with a proven track record.
Innovative Thinker: Showcase both structured reasoning and creative problem-solving in a fast-paced environment.
Quality Focus: Strive for excellence while maintaining a pragmatic approach to deliver results efficiently.
Proactive and Collaborative: Embrace feedback, take on responsibilities, and contribute actively to team dynamics.
Curiosity and Adaptability: Exhibit a hunger for exploring new opportunities, technologies, and innovative ideas.
Strategic Vision: Balance a big-picture perspective with meticulous attention to detail.
English Language Fluency: Display proficient English communication skills in reading, writing, and speaking.
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.
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