(Senior) Data Engineer - France

At Shippeo, a (Senior) Data Engineer is responsible for building and maintaining data pipelines, ensuring reliable data availability, and optimizing data architectures. You will leverage tools like Kafka and Airflow to manage data flows effectively, while also implementing advanced cleansing and enhancement rules to achieve high data quality.

To qualify for the (Senior) Data Engineer role at Shippeo, you should possess a degree in Computer Science or a related field and have at least 3 years of experience as a Data Engineer. Proficiency in Python, SQL, and familiarity with cloud platforms, ideally GCP, is essential. Experience with data warehousing solutions like Snowflake is also a key requirement.

As a (Senior) Data Engineer at Shippeo, you'll engage with a variety of technologies including Kafka for data streaming, Airflow for mapping workflows, and tools like Docker and Kubernetes for containerization. Familiarity with cloud data warehousing solutions such as Snowflake and DataOps technologies like Terraform will be beneficial.

Yes, Shippeo offers flexibility with the (Senior) Data Engineer position, allowing candidates based in France to apply for remote work opportunities. We value talent regardless of location, enabling you to join our innovative team from the comfort of your home.

At Shippeo, our work culture is vibrant and diverse, with a team from 27 nationalities. We emphasize collaboration, ambition, and care, ensuring that our colleagues feel valued and supported. As a (Senior) Data Engineer, you’ll be encouraged to innovate and contribute to your team's success in a nurturing environment.

When answering about your experience with data pipelines, focus on specific projects where you designed, built, or optimized a data pipeline. Discuss the tools you used, such as Airflow or Kafka, and how your efforts improved data flow and reliability in your organization.

Share a specific challenge you've encountered, such as dealing with data inconsistencies or optimizing performance issues. Be sure to explain the steps you took to analyze the problem, the strategies you employed, and the positive outcomes of your solutions.

Discuss the methods you employ to maintain data quality, such as implementing validation rules, regular audits, and cleansing processes. Providing examples of how these methods led to improved data accuracy in your previous roles will strengthen your answer.

Mention your programming prowess, particularly in Python and SQL, and relate it to specific tasks you’ve accomplished, such as data manipulation or building data models. Highlight how your coding skills have streamlined processes or improved the efficiency of data accessibility.

Illustrate your experience with cloud platforms, particularly GCP, and solutions like Snowflake. Discuss specific projects where employing these technologies has facilitated data storage, accessibility, or processing scalability, underscoring their importance in modern data engineering.

Explain the importance of Continuous Integration and Continuous Delivery in data projects. Provide an example of how you've utilized CI/CD pipelines to enhance data deployment or minimize errors, focusing on tools like GitHub Actions.

Mention resources you use to stay updated, such as online courses, webinars, or industry publications. Discuss any communities or forums where you engage with other data professionals, as well as how continual learning has impacted your work.

Discuss specific technologies you've used for real-time data processing, like Kafka or RabbitMQ. Provide insights into projects where you've implemented these technologies to achieve timely insights or facilitate instantaneous data flow.

Walk through your troubleshooting approach, emphasizing steps like monitoring logs, pinpointing bottlenecks, and using metrics to identify the failure's root cause. Highlight your experience managing such situations effectively and ensuring prompt resolution.

Express your admiration for Shippeo’s innovative approach to supply chain visibility and your desire to contribute to a diverse and rapidly growing company. Align your career goals with Shippeo’s mission and values to showcase your enthusiasm for the role.