Data Platform Engineer Parma

Data Platform Engineer
Parma
Emilia Romagna, Parma

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.

Job Description: As a Data Platform 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 the management and evolution of the Data platform to create an environment for data analysis and the development of future data products. Your responsibilities will span a diverse range of tasks, from architecting data and cloud solutions to managing SaaS Platforms. You will also be dedicated to enhancing our tools and applications by proactively addressing bugs, performing code refactoring, and ensuring top-notch quality.

Key Responsibilities: Design, deploy and maintain highly scalable data management systems. You will ensure that these systems meet business requirements and industry best practices.

Integrate emerging data technologies into existing Data Platform according to company needs.

Collaborate with cross-functional teams to identify and address Data and Cloud-related requirements, contributing to strategic planning and execution.

Implement data flow solutions for both batch and streaming analytics.

Monitor system performance, identify issues, and address failures.

Develop best practices for the implementation of Data Products.

Consistently update data platform architecture to meet evolving company needs.

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 earnings 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.

Language Proficiency: 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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