Database Engineer

4 days ago Be among the first 25 applicants

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 work with a group of people passionate about delivering quality data to stakeholders and customers in a dynamic, collaborative environment.

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 hybrid team.

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 Data Factory, 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!

Seniority level Mid‑Senior level

Employment type Full‑time

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