About Us:
Duferco is a global company with diverse interests spanning energy retail and trading, steel manufacturing, insurance, and logistics. Innovation has always driven our success and continues to shape our future. Our Corporate Innovation Team operates in a start-up-like, corporate-backed environment, focused on exploring, nurturing, and implementing cutting-edge ideas, technologies, and strategies to propel our organization to new heights.
At Duferco, we value talent, proactivity, and passion. We foster a culture where every team member is empowered to take ownership of their work, actively contribute to the team’s success, and grow professionally by taking on increasing responsibility. Collaboration, continuous learning, and a shared drive for innovation are central to our ethos. If you are self-motivated, eager to make an impact, and passionate about tackling challenges head-on, you’ll thrive here.
As we continue to expand and diversify our operations, we are actively seeking a highly skilled and experienced Data Engineer to join our dynamic team. In this role, you will play a pivotal part in advancing our mission of leveraging cloud-based tools and technologies for data processing, storage, and management, while also developing customized AI-driven solutions. If you have a passion for cloud-based data solutions, ETL tools, data warehousing, and data lakes—and experience working with heterogeneous data sources—we encourage you to apply. Your contributions will not only help shape our data infrastructure but will also support the creation of cutting-edge AI-driven solutions that drive excellence across our diverse portfolio of businesses.
Responsibilities:
* Develop, implement, and optimize cloud-based data solutions for applications including data processing, storage, and management.
* Seamlessly integrate cloud-based data tools and services into various projects.
* Effectively utilize ETL tools and data transformation processes.
* Work on data warehousing and data lake projects, ensuring data is well-organized, accessible, and scalable.
* Proactively research and evaluate emerging cloud-based technologies to enhance our operations.
* Participate in general data engineering tasks and contribute to various projects.
Qualifications:
* A Master’s degree or Ph.D. in Computer Science, Data Engineering, or a related field.
* Proven expertise in cloud-based data solutions.
* Hands-on experience with ETL tools, data transformation processes, and technologies (e.g., SQL, dbt, Pandas, Spark).
* Strong understanding of data warehousing, data lakes, and data management practices.
* Familiarity with cloud-based tools and services for data processing, storage, and management (AWS preferred).
* Experience with DevOps frameworks.
* Experience developing backend applications in Python (nice-to-have).
* Experience with time series data and enterprise data management (nice-to-have).
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