Yassir

On-demand ride-hailing, delivery, and digital finance

Mid/Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeNo salary listedHybrid

About the Job

Requirements

PySpark experience with batch and streaming processing.
Experience with Google Cloud Platform data services, including Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery, and Cloud Storage.
Experience with NoSQL databases, preferably MongoDB.
Proficiency in Scala or Python.
Experience with Great Expectations or a similar data quality framework.
Familiarity with workflow management tools such as Airflow, Prefect, or Luigi.
Understanding of data governance, data warehousing, and data modelling.
Good SQL knowledge.
Ability to communicate technical knowledge clearly and succinctly, using visual formats where appropriate.
Proactively contribute to team development initiatives and support junior team members.

Responsibilities

Build a centralized data lake on Google Cloud Platform data services by integrating diverse enterprise data sources.
Develop, maintain, and optimize Spark-powered batch and streaming data processing pipelines, leveraging Google Cloud Platform data services and integrating with other platform components.
Design and implement data validation and quality checks to ensure accuracy, completeness, and consistency across data workflows.
Work with the AI/ML team to enable AI use cases and meet data needs for machine learning model development and monitoring.
Collaborate with data analysts and business users in Operations, Marketing, and Commercial to generate insights and support data-driven decision-making.
Collaborate with Product teams to design, implement, and maintain data models for analytical use cases.
Explore technologies, develop proofs of concept, and conduct in-depth investigations.
Design and manage ETL/ELT processes to ensure data integrity, availability, and performance.
Troubleshoot data issues and conduct root-cause analysis when reported data is in question.
Work on generative AI initiatives aligned with company goals.

Desired Qualifications

Experience with infrastructure as code, preferably Terraform.
Experience with Docker and Kubernetes.
Experience with Looker.
Knowledge of AI/ML engineering.
Experience with data lineage tools such as Atlan.
Experience with dbt.

Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world.

We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.

Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.

Responsibilities

Build a centralized data lake on GCP data services by integrating diverse data sources throughout the enterprise.
Develop, maintain, and optimize Spark-powered batch and streaming data processing pipelines. Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components.
Design and implement data validation and quality checks to ensure accuracy, completeness and consistency across our data workflows.
Work closely with the AI / ML team to enable AI use cases and in particular address data needs for Machine Learning model development and monitoring.
Collaborate with cross-functional teams, including Data Analysts and other business users from Operations, Marketing and Commercial departments, to extract valuable insights and enable data-driven decision making.
Collaborate with the Product teams to design, implement, and maintain the data models for analytical use cases.
Engage in technology exploration and research, the development of PoC’s, conducting deep investigations.
Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance.
Troubleshoot data issues and conduct root cause analysis when reporting data is in question.
Work on Gen AI related initiatives aligned with the company goals.

Required Technical Skills

PySpark - Batch and Streaming
GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage
NoSQL (preferably MongoDB)
Programming languages: Scala/Python
Great Expectation, or similar DQ framework
Familiarity with workflow management tools like: Airflow, Prefect or Luigi
Understanding of Data Governance, Data Warehousing and Data Modelling
Good SQL knowledge

Business

Able to communicate effectively, distill technical knowledge into digestible messages in a succinct / visual way
Proactively identify and contribute with team development initiatives, and supporting junior members

Good to have skills

Infrastructure-as-Code, preferably Terraform
Docker and Kubernetes
Looker
AI / ML engineering knowledge
Lineage, or relevant tools e.g. Atlan
DBT

At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.

Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.

We look forward to receiving your application!

Best of luck,

Your Yassir TA Team

About the Company

Yassir

On-demand ride-hailing, delivery, and digital finance

Yassir runs a super app that combines ride-hailing and last-mile delivery across 45 cities in the Maghreb, with recent expansions into France, Canada, and Sub-Saharan Africa, and it is adding digital financial services for paying, saving, and borrowing. Users access all services in one app, with the platform coordinating rides and deliveries through its logistics network and offering fintech features for payments and lending. Unlike single-service competitors, Yassir bundles transportation, delivery, and financial tools within a single regional marketplace, and it emphasizes social values and financial inclusion. Its goal is to become a comprehensive marketplace that helps people use a cashless, digital economy while meeting everyday needs across its growing network.

Company size: 1,001-5,000
Company stage: Series B
Total funding: $180.3M
Headquarters: Algiers, Algeria
Founded: 2016

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