Time since we first saw it
Day 84
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 11,035 similar postings that came down. Coming down is not always a hire.
Mid/Senior Data Engineer
Tunis, Tunisia
Live, first seen by us 84 days ago- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingBuild a centralized data lake on GCP by integrating data sources across the company
Develop and optimize Spark batch and streaming data pipelines
Design data validation and quality checks for accuracy and consistency
Support data needs for ML model development and monitoring with the AI/ML team
Design and manage ETL/ELT processes for integrity and performance
From the employer’s posting
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.
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.
Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance.
What you’ll bring
All qualificationsCore experience
- PySpark for batch and streaming processing
- GCP data services: Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Storage and others
- Scala or Python programming
- NoSQL databases, preferably MongoDB
- Good SQL knowledge
Qualification wording
PySpark - Batch and Streaming
GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage
Programming languages: Scala/Python
NoSQL (preferably MongoDB)
Good SQL knowledge
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 13, 202684 days ago
- Recorded sightings
- 63
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Aug 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Yassir is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Scala
- SQL
- BigQuery
- dbt
- Docker
- GCP
- Kubernetes
- Looker
- MongoDB
- NoSQL
- Prefect
- Terraform
- Luigi
- PySpark
Where the posting names them
- NoSQL (preferably MongoDB) - Programming languages: Scala/Python - Great Expectation, or similar DQ framework
- 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)
- 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
- Docker and Kubernetes - Looker - AI / ML engineering knowledge
- 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
- - 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
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Applying through Lever
- No account needed: one form, and Lever reads your resume into the profile recruiters search.
Already applied? Track this application
Has Yassir posted this job before?
Yes. We’ve followed one other Mid/Senior Data Engineer job there since August 2026. It is still up.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Tunis, Tunisia
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.