Database Engineer (H/F)

Job Description:

We are looking for a skilled Database Engineer to join our team and help design, implement, and optimize our data infrastructure. The ideal candidate will have a strong background in database architecture, data modeling, and performance tuning.

You will join a group of people that are all passionate about delivering quality data to our stakeholders and customers. It is a dynamic environment of experienced in-house and contracted people that value individual input

If you are passionate about data management, scalability, and security, we’d love to hear from you!

Key Responsibilities:

• Evolve, develop, and maintain database architectures for high-performance applications.

• Optimize database performance, troubleshoot issues, and ensure data integrity.

• Implement and maintain database security best practices.

• Collaborate with stakeholders, software engineers and data analysts to support development and reporting needs.

• Work with a team to monitor database performance, implement tuning strategies, and automate maintenance tasks.

• Develop and maintain documentation for database designs, processes, and procedures.

• Work with cloud-based and hybrid databases and data storage.

Interpersonal & Soft Skills:

• Comfortable and competent in English (B1 or higher) and French

• Strong problem-solving and analytical skills.

• Excellent communication and teamwork abilities for a team that is hybrid in-house and contracted.

• Ability to work independently and manage multiple projects simultaneously.

• Detail-oriented with a focus on data accuracy and security.

• Willingness to continuously learn and adapt to new technologies.

Technical Skills & Qualifications:

• At least 3 years of experience building and maintaining robust data solutions.

• Strong experience with SQL databases (e.g., MySQL, PostgreSQL, MS SQL Server, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra, Redis).

• Proficiency in database design, normalization, indexing, and query optimization.

• Hands-on experience with ETL processes and data warehousing.

• Experience with JAVA and Spring Boot to build robust data processing and transformation layers.

• Understanding of CI/CD pipelines and DevOps principles related to database management.

Nice-to-Have Skills:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

• Familiarity with cloud platforms (AWS, Azure, GCP) and database services like AWS Glue, Azure Datafactory, BigQuery, or Snowflake.

• Knowledge of scripting and automation using Python, R, Shell, or PowerShell.

• Experience with big data technologies like Apache Hadoop, Spark, or Kafka.

• Knowledge of data governance, compliance, and regulatory requirements (e.g., GDPR, HIPAA).

• Familiarity with database automation tools and infrastructure-as-code (Terraform, Ansible).

If you’re excited about building and optimizing scalable data systems, we encourage you to apply!