Analytics/Data Engineer

Overview

DinMo is reshaping the Customer Data Platform (CDP) space by enabling real-time activation of customer data—without the engineering overhead.

Our platform integrates directly with modern cloud data warehouses (Snowflake, BigQuery, Databricks), eliminating redundant data copies and enabling seamless, scalable workflows. We give data teams the tools to securely empower marketers, allowing them to independently build and sync customer audiences, events, and attributes across key marketing platforms (CRM, Ads, Customer Support).

At DinMo, you’ll work at the intersection of cutting-edge technology, leveraging Machine Learning and AI to deliver highly personalized customer experiences. Our composable architecture ensures our solutions scale effectively, enabling clients like Huel, Nexity, Galeries Lafayette, Interflora, and Ankorstore to innovate rapidly.

With offices in Paris and London, our international team fosters collaboration, autonomy, and innovation. We’re growing fast and actively looking for driven, articulate, and autonomous technical talent ready to shape the future of customer data.

Your Responsibilities

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.

Technical Stack

Python, Dagster & dbt
Cloud: A mix of AWS, GCP and Snowflake (Terraform)
Docker and Github actions for deployment

Company:

DinMo

Qualifications:

=> 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.

Tagged as: Data Mining, Data Warehouse, France, Industry, Machine Learning