Data Engineer - Mid level

As a Mid-level Data Engineer at EcoVadis, your main responsibilities include designing, building, and maintaining various components of our data platform. You'll create and monitor data processing pipelines, ensure the quality and reliability of our data, and develop integrations with internal and external data sources. A significant part of your role will involve cross-functional collaboration, where you'll support BI teams and other parties in efficient data modeling and operational practices.

To be considered for the Mid-level Data Engineer role at EcoVadis, you should have proven 2-3 years of experience in building data processing pipelines using distributed engines. Familiarity with Python, SQL, cloud environments like AWS, Azure, or GCP, and data orchestration tools is essential. Knowledge of database design and ETL/ELT patterns will also be beneficial. Strong English proficiency is a must!

As a Mid-level Data Engineer at EcoVadis, you'll primarily work with Python for data engineering applications. You'll also need a solid understanding of SQL, various cloud platforms like AWS or Azure, and possibly tools like Databricks. Familiarity with CI/CD processes and Azure DevOps will give you an additional edge, allowing for smoother integration and deployment practices.

At EcoVadis, the working environment is dynamic and collaborative, allowing you to engage with cross-functional teams consistently. There’s a commitment to sustainability and innovation in how we approach projects. Enjoy flexible working hours and the option to work remotely. We prioritize a supportive atmosphere that values everyone's contributions, allowing you to grow and develop in your career while making a tangible impact.

EcoVadis provides a host of benefits for the Mid-level Data Engineer role, including support for office and IT equipment, a wellness allowance, access to professional mental health support, and a hybrid work arrangement. You’ll also benefit from a referral bonus policy, learning and development opportunities, and participation in sustainability events. Plus, we respect your unique needs, offering adjustments in the hiring process for those who may require them.

In responding to this question, emphasize your previous roles where you designed, built, or maintained data pipelines. Highlight specific technologies you've used, such as those within distributed data platforms, and discuss the challenges you faced and how you overcame them. Providing a concrete example of a successful project will illustrate your capabilities effectively.

It’s important to mention your proficiency in Python, as it's particularly relevant for the Mid-level Data Engineer role at EcoVadis. Share projects where you used Python in data processing or integration tasks. If you have experience with SQL, mention that as well, showcasing your ability to work with queries and database design.

Discuss the practices you implement to maintain data quality, such as regular monitoring, data validation checks, and automated testing. You can also touch on your experience with data cataloging and permission management, particularly how these tools improve the overall data governance.

Detail your hands-on experience with cloud platforms relevant to the role. Discuss specific tools and services you've used, such as data storage, analytics, and processing solutions in AWS or Azure. Highlight any certifications or training that bolster your credibility in cloud environments.

Illustrate your teamwork skills by recalling a specific project that required collaboration with data scientists, BI analysts, or architects. Explain your role, how you communicated effectively, and the outcomes of the project. This will show your ability to work well with others towards a common goal.

Be honest about challenges such as data discrepancies, compatibility issues, or performance bottlenecks you've encountered in data integration projects. Discuss how you handled these issues, what solutions you implemented, and any improvements you observed as a result.

Explain your methods for continuous learning, whether through online courses, webinars, or participating in data engineering communities. Mention any specific resources, blogs, or influential leaders in the field you follow to keep your skills current.

If you have experience with tools like Apache Airflow or AWS Step Functions, outline what tasks you used them for. Explain how these tools helped automate workflows, manage dependencies, and ensure timely processing of data, thereby improving efficiency and reliability.

Discuss any strategies you employ, such as indexing, query optimization, and understanding execution plans. Mention any experience you have with monitoring database performance and identifying bottlenecks to offer insights into how you improve system efficiency.

Share your passion for sustainability and data, highlighting how EcoVadis' mission aligns with your career goals. Talk about your enthusiasm for the role and how your skills make you a great fit for the company culture. This gives you an opportunity to demonstrate your genuine interest in contributing to EcoVadis' initiatives.