Senior Analytics Engineer

Job Description

Founded in 2018, Gozem is today a technological group of more than 400 people, agile and ambitious, which offers via its mobile application a very wide range of services including transport, delivery, financing, mobile money and many others, to African users. Present in Benin, Togo, Gabon and Cameroon, our group’s ambition is to become “Africa’s Super App” by establishing itself throughout French speaking Africa. Our solution is 100% focused on the African market, serving drivers, customers, traders and soon, SMEs in our areas of activity.

We are a multinational group, with a strong presence in several cities and pride ourselves on helping to improve the lives of local communities through the digitalisation of the market and the introduction of technology-based efficiencies.

Are you looking to grow in a challenging and friendly environment? Do you want to evolve and progress in dynamic and disruptive digital contexts?

Join us in building a new African digital ecosystem that improves the quality of life. Together, let’s make Africa smile!

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.ht

What is an Analytics Engineer at Gozem ?

Our Data Engineer will act as a bridge between our backend product & engineering teams and the wider global analytics organization. He/She is focused on building and maintaining scalable, secure, and high-performing data infrastructures and pipelines across multiple business lines (transport, ecommerce, fintech, and financial services).

This role requires strong expertise in Google Cloud’s data and analytics ecosystem, complemented with hands-on skills in open-source data engineering tools to ensure interoperability, flexibility, and cost-effective solutions.

Your tasks

• Own the end-to-end data lifecycle: ingestion, pipelining (collection, storage, access), transformation (cleansing, enrichment, feature creation/selection), and governance (documentation, monitoring, observability).
• Design and implement data pipelines (batch and streaming) using BigQuery, Dataform, Dataflow, Pub/Sub, Cloud Storage, and open-source frameworks (e.g., Spark, Kafka, Airflow).
• Partner with analytics squads leads and data scientists to build reusable, production-ready datasets and features that enable advanced modeling and reporting.
• Support the development and optimization of Gozem’s data lakehouse and data marts, ensuring scalability and performance across multiple verticals.
• Evaluate user requests for analytics and reporting solutions, determining feasibility, time requirements, and architectural fit.
• Establish and maintain data quality frameworks (validation, monitoring, alerting) to ensure trust in data assets across the organization.
• Interact with stakeholders (Business Leads, Product Managers…) to clarify data availability, reliability and solutions requirements, ensuring insights are actionable and accurate.

You are the right person for this job if you have…

• Strong data profiling and engineering skills, with hands-on experience in Google Cloud Platform (BigQuery, Dataform, Dataflow, Pub/Sub, Composer, Cloud Functions, Cloud Run) and open-source data processing frameworks (Spark, Kafka, Airflow, etc.).
• Solid understanding of infrastructure and deployment (Linux OS, Docker, containerized environments, CI/CD workflows).
• Experience with relational and NoSQL databases (PostgreSQL, MongoDB, ClickHouse, etc.).
• Demonstrated ability to design and implement ETL/ELT pipelines, real-time data processing, and transformations of structured & unstructured data.
• Proven experience in environments where documentation, testing, reproducibility, and data governance are valued.
• Desire for clean, well-organized, and maintainable solutions that scale across teams and markets.

You have

• Education: Master’s degree recommended (but not required) in Computer Science, Data Engineering, or related fields.
• Experience: Minimum 5 years of professional experience in data engineering or analytics engineering roles.
• Proficiency in Python (mandatory) and SQL (advanced), with working knowledge of Node.js to support API integrations and backend data workflows.
• Familiarity with workflow orchestration (Airflow, Cron, etc.) and version control (Git).
• Experience with modern data stack practices: modular pipelines, CI/CD for data, data observability, cost optimization.
• Tools to master: Asana, Google Suite, GitLab (mandatory), familiarity with Jira.
• Languages: French & English (professional proficiency required).

What we like most

• Self-motivated, independent learner, and eager to share knowledge with teammates.
• Detail-oriented and efficient time manager in a dynamic, high-growth environment.
• Strong communication skills with both technical and non-technical stakeholders.
• A builder’s mindset: excited to design systems that scale across Africa’s Super App ecosystem and deliver impact.

Working conditions & benefits

We offer our employees a fair, friendly and intercultural working environment, in which we strive to develop the talents of each individual. To achieve this, we offer:

📍Flexible work location: Hybrid (on-site in our markets / remote days possibility).

🏢 Open-space offices and teleworking time possible (to be arranged with your

manager)

💶 A gross monthly remuneration defined according to our internal salary grid as well as the relevance of your past experiences for the position.

🌿 An option to buy shares in Gozem

🎁 An annual bonus allowing you to receive between 0 and 4.5 months of additional salary the following year

🚗 Benefits on our Super App for your travel and deliveries

🌐 A health and IT insurance package

And above all, the opportunity to join a young, dynamic team that has a real social impact in French-speaking Africa!

Interview process

• An initial introductory meeting with the recruitment manager (15 minutes)
• A business case to be completed
• A presentation of your business case with the head of the Data team (future n+1) and a time to discuss your professional experience followed by a referral request (you give us 4 professional contacts to whom we send a questionnaire)