Data Engineer • Mid-Level

Who you are

You are a data engineer with a strong foundation in building solid data pipelines using Python and SQL. You thrive in environments where you can leverage FastAPI and Apache Spark to create efficient data workflows. Your expertise extends to mastering Google Cloud tools such as BigQuery, Dataflow, and Composer, allowing you to architect scalable data solutions that meet business needs.

You are not just focused on executing ETL processes; you understand the broader business implications of your work. You are comfortable migrating legacy stacks to the cloud, ensuring that production environments remain stable and efficient. Your curiosity drives you to experiment with generative AI to enhance your data workflows, making you a forward-thinking engineer.

What you'll do

At SFEIR, you will engage in exciting projects that have a direct impact on business outcomes. You will develop retail management applications that leverage data insights to drive decision-making. Your role will involve migrating Hadoop infrastructures to Google Cloud, employing a Lift & Shift strategy to modernize systems without disrupting ongoing operations.

You will also create real-time machine learning algorithms to optimize supply chain processes, ensuring that data is utilized effectively across the organization. Building impactful dashboards using Looker Studio will be part of your responsibilities, enabling stakeholders to visualize data trends and make informed decisions.

Additionally, you will orchestrate complex workflows using Airflow and Terraform, ensuring that data processes are automated and efficient. Your contributions will help shape the future of data at SFEIR, and you will work alongside a team that values innovation and collaboration.

What we offer

SFEIR provides a supportive environment where your skills and potential are recognized and rewarded. After completing our technical assessments, we will determine a competitive salary that reflects your experience, starting at €44,000 gross per year. We believe in continuous growth, and your salary will be reviewed annually to ensure it aligns with your contributions and market standards.

Join us to architect outstanding data platforms with a team that respects your pace and curiosity. We encourage you to apply even if your experience doesn't match every requirement. Let's build the future of data together!