🔍 We are hiring an experienced Analytics/Data Engineer with strong software engineering skills to join our growing technical team. In this role, you’ll collaborate closely with our Data Engineering Manager to improve and enhance integrations with third-party marketing platforms (destinations) and develop the advanced data services that our users seek, including for example automated experimentation pipelines via A/B testing or customer profiling projects.

You bring valuable experiences and domain knowledge to bridge the gap between our technical stack and the business, operational, analytical needs of use cases from our users on how to manipulate data efficiently.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and integrations with third-party marketing systems.

• Develop and optimize advanced data services, including A/B testing and customer profiling use cases

• Collaborate cross-functionally to ensure efficient data flows and system interoperability.

• Monitor, troubleshoot, and optimize system performance for reliability and scalability.

🚀 Why Join DinMo?

Joining DinMo means creating innovative data products that have a global reach and deliver immediate, tangible impact on the company’s growth. Here, you’ll have full ownership of your features and the opportunity to shape how marketing teams worldwide leverage their data. We foster a collaborative, innovative environment where your contributions directly impact the evolution and success of our composable CDP.

If you’re passionate about analytics engineering and keen to work with cutting-edge technologies bridging marketing and data, we’d love to meet you.

Additional Perks :

• A flexible work environment: Our offices are located in the heart of Paris (2nd arrondissement, Rue de Thorel). Enjoy regular remote work options and monthly team-building activities.

• Startup perks: Alan health coverage, Swile meal vouchers (€10), ClassPass membership, and high-end Apple equipment.

• A competitive package with BSPCE: Attractive salary + BSPCE (Stock Options for Startup Employees).

💻 Technical Stack

• Python, Dagster & dbt

• Cloud: A mix of AWS, GCP and Snowflake (Terraform)

• Docker and Github actions for deployment

Must-have:

• Demonstrated experience in data modeling using dbt collaborating with data analysts and/or business stakeholders.

• Strong proficiency in Python and SQL.

• Experience with test-driven development (TDD).

Preferred:

• Proficiency in workflow orchestration tools such as Apache Airflow or Dagster.

• Experience with distributed systems and cloud data operations.

• Familiarity with MLOps principles and tools.

• Screening Call (15 min): Initial conversation with our Talent and People Partner.

• Introduction Call (60 min): A call with the 2 future teammates to explore your background and experience in analytics teams.

• Technical Interview (45 min): Live Python Technical Assessment

• Closing Interview: Final conversation with your potential manager or the CEO, focusing on your alignment with DinMo’s culture, values, and vision.