Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Full-time — employment source
Employment type Full-time
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What you’ll work on

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.
Design and implement data validation and quality checks to ensure accuracy, completeness and consistency across our data workflows.

From the employer’s posting

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.

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.

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.

Tools in this posting

SQL
BigQuery
Google Cloud (GCP)
Prefect
Python
Scala
NoSQL
Looker
dbt
Docker
Kubernetes
Terraform
MongoDB
Luigi
PySpark

Source

- Understanding of Data Governance, Data Warehousing and Data Modelling - Good SQL knowledge Business

- PySpark - Batch and Streaming - GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage - NoSQL (preferably MongoDB)

- 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

- NoSQL (preferably MongoDB) - Programming languages: Scala/Python - Great Expectation, or similar DQ framework

- GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage - NoSQL (preferably MongoDB) - Programming languages: Scala/Python

- 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.

- Infrastructure-as-Code, preferably Terraform - Docker and Kubernetes - Looker

- - Infrastructure-as-Code, preferably Terraform - Docker and Kubernetes

Required Technical Skills - PySpark - Batch and Streaming - GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage

Job description

View original posting ↗

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

Employment type

Full-time

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Source & posting history

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Pay

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Location & working pattern

Tunis, Tunisia

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Open source at jobs.lever.co ↗Read the full description ↓

Status in our records: Active
First seen by us: Aug 13, 2026
Recorded sightings: 29
Last seen by us: Sep 25, 2026
Employer says posted: Aug 11, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Mid/Senior Data Engineer