Database Engineer, Descartes & Mauss
Starting March '25
2+ days a week in office (Rue Jules Lefebvre, Paris)
AI-powered growth consulting
Be an early applicant
AI-powered growth consulting
21-100 employees
Be an early applicant
2+ days a week in office (Rue Jules Lefebvre, Paris)
21-100 employees
Company mission
To build critical paths for companies to find growth and resilience.
Role
Who you are
- Minimum 3 year of experience on both SQL (PostgreSQL) and NoSQL (Delta Lake, Firestore, MongoDB) databases
- Experienced in Python and GCP, experienced in AWS is a plus
- Proficient in PySpark, SparkNLP, and data pipeline orchestration tools (e.g., GCP Workflows)
- Expertise in containerization (Docker) and CI/CD pipelines (GitHub Actions)
- Knowledge of performance metrics (latency, throughput, error rates) and data quality checks (consistency, completeness, accuracy)
- Understanding of data encryption, access control (RBAC), and compliance with GDPR/CCPA
- API development (REST/GraphQL) and ML pipeline integration
- Strong scripting (Python/Bash) and experience with automation (Terraform, Ansible)
- Familiar with monitoring tools (Prometheus, Grafana, ELK stack) and big data frameworks
- Excellent communication skills and the ability to document and report on technical processes
What the job involves
- We are seeking a skilled Data/Database Engineer to join our team and take ownership of managing, optimizing, and monitoring our data infrastructure. The ideal candidate will have experience working with both SQL and NoSQL databases, building and maintaining ETL pipelines, and ensuring seamless data operations.
- This role requires expertise in cloud platforms (preferably Google Cloud), containerization, and continuous integration/continuous deployment (CI/CD) practices. The engineer will also ensure data security and compliance with regulations such as GDPR/CCPA
- Design, implement, and maintain scalable ETL processes using PySpark and SparkNLP
- Manage data pipelines using GCP Workflows for scheduling and orchestrating jobs
- Ensure seamless integration and management of data systems to maintain continuous operation
- Manage and optimize PostgreSQL databases for transactional data and relational database management
- Regularly optimize queries and indexes to ensure high-performance operations
- Implement automated backup and recovery solutions for PostgreSQL to prevent data loss
- Manage and optimize NoSQL datasets using Delta Lake for large-scale data
- Ensure NoSQL infrastructure scalability to handle increasing data volumes
- Deploy data applications on cloud platforms like Google Cloud
- Utilize Docker for containerized environments and ensure consistency across development, testing, and production environments
- Leverage GCP services for deployment, scaling, and monitoring of data applications
- Set up and manage CI/CD pipelines using GitHub Actions to automate testing, deployment, and version control
- Monitor data processing systems for latency, throughput, and error rates to ensure optimal performance
- Ensure data quality by regularly checking for consistency, completeness, and accuracy across databases and pipelines
- Implement centralized logging using Google Cloud Logging to aggregate logs from multiple sources
- Ensure the encryption of data both at rest and in transit
- Implement role-based access control (RBAC) to secure data and model endpoints
- Maintain compliance with regulations such as GDPR and CCPA, including detailed audit logging for model training and data access
- 6/ Documentation & Communication:
- Document API endpoints and data pipelines using tools like Swagger for ease of maintenance and onboarding
- Provide data flow diagrams, ETL process documentation, and data schema explanations
- Set up alerts using Google Cloud Monitoring and Slack for real-time issue notifications
- Generate and share performance reports to keep stakeholders informed and facilitate data-driven decision-making
Application process
- 30 mins chat with Julie, Talent Acquisition Specialist
- 45 mins chat with Omar, Lead Data Engineer
- 45 mins chat with Harsha, Engineering Lead
Our take
Descartes & Mauss is emerging into the field of "StraTech," which leverages AI to revolutionise strategy-making. It's approach combines data modelling with social science methodologies, allowing businesses to simulate potential futures and make more informed decisions.
By creating digital twins of companies and their markets, Descartes & Mauss helps its users to optimise strategy and planning. Its market analysis processes millions of data signals across various dimensions such as technology, competition, and politics. Plus, it guides companies from insight to action, utilising generative AI to create actionable plans.
Already, Descartes & Mauss has secured significant funds that will help accelerate product development and expand its sales teams. Looking ahead, the company aims to establish itself as a global leader in the StraTech sector, continuing to innovate and refine its AI-driven solutions to empower companies in an increasingly unpredictable world.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Jun 2024
$5.8m
SEED
Total funding: $5.8m
Company benefits
- Hybrid working: 2 days a week in the office
- WeWork office access worldwide
- Swile Card
- 50% of the public transport cost is reimbursed
- Extra Insurance with Mutuelle
- Birthday off policy
- Employee wellbeing initiatives
Company values
- We don’t think outside of the box, we get rid of it!
- We speak our minds, – to ourselves, each other, and our clients
- We commit to learning something new every day
- We don’t take the easy route. We take the route of maximum impact
- We show up, we go all in, we give our best. And we deliver
- We say please & thank you and never take people for granted
- We don’t ask just to be nice, we ask because we care
- We build bridges across all types of borders
- We give people room to express their talent and drive their career
- We don’t take ourselves too seriously but we take the business seriously
Company HQ
Saint-Lambert, Paris, France
Articles
Leadership
Maurice NDiaye
(CEO)Prior work includes being a Partner at Synomia and a Teacher in Data Marketing for Sciences Po.
Salary benchmarks
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