Data Engineer

At FreePL, you will be an integral part of a small team that is currently on a mission to build something big from the ground up. You will need to be comfortable with ambiguity and fast pace, have an entrepreneurial mindset, a can-do attitude and will be expected to take ownership of your work and be comfortable making decisions and solving problems independently.

As part of a quickly growing team, you will have the opportunity to shape the future of FreePL and make a real impact. You will work closely with the founding team to develop and implement strategies for growth and success. If you are self-motivated, results-driven, and have a passion for delivering excellence, this is your chance to not only join us in our launch phase but to grow into a leader at FreePL.
What We Look For

We are looking for a talented Data Engineer to join our team and contribute to building efficient, scalable, and reliable data infrastructure to drive our data-driven decision-making processes.

Responsabilities

• Design, build, and maintain efficient and scalable data pipelines using Python and other modern tools.
• Collaborate with cross-functional teams to understand data requirements and deliver robust solutions.
• Develop and optimize ETL/ELT processes to extract, transform, and load data from multiple sources.
• Manage, monitor, and improve database systems to ensure high performance and availability.
• Implement and maintain data models and architecture to support analytics and machine learning workflows.
• Ensure data security, privacy, and compliance with relevant regulations.
• Perform root cause analysis for data-related issues and propose solutions.
• Stay updated on the latest technologies, frameworks, and industry

Qualifications & Work Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience as a Data Engineer or in a similar role.
• Proficiency in Python with a strong understanding of libraries like Pandas, NumPy, and PySpark.
• Hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Strong knowledge of data integration tools and frameworks (e.g., Apache Airflow, Apache Kafka, etc.).
• Experience with Azure cloud platforms and managing cloud-based data pipelines.
• Familiarity with big data technologies such as Hadoop, Spark, or Snowflake is a plus.
• Solid understanding of data warehousing concepts and tools (e.g., Redshift, BigQuery).
• Knowledge of containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes) is an advantage.
• Excellent problem-solving and communication skills.
• Experience in the logistics or supply chain domain.
• Familiarity with real-time data streaming and processing.
• Knowledge of data governance, quality frameworks, and best practices.