Data Engineer – Modern Data Platforms

As a Data Engineer, you will contribute to the design, development and implementation of modern data platforms.
Depending on the project, you may work with Databricks, TimeXtender, Microsoft Fabric or another Modern Data Platform.
Your responsibilities may include:

Building and maintaining reliable data pipelines
Developing ETL / ELT workflows
Integrating data from multiple sources and APIs
Designing data lake, lakehouse and data warehouse architectures
Developing transformation layers using SQL, Python, Spark or dbt
Implementing data quality and testing practices
Optimizing data pipelines and platform performance
Working with cloud environments, particularly Microsoft Azure
Collaborating with Data Architects, BI Engineers and business teams
Participating in technical discussions with international clients

What we are looking for
We are primarily looking for strong data engineering fundamentals rather than expertise in one specific technology.
You should have experience with several of the following:

SQL – strong proficiency required
Python
ETL / ELT concepts
Data modelling
Data Warehousing
Data Lakes / Lakehouse architectures
REST APIs and data integration
Git and CI/CD
Cloud data platforms

Experience with one or more of the following is highly valued:

Databricks
Microsoft Fabric
TimeXtender
Azure Data Factory
Azure Data Lake Storage
dbt
Apache Spark / PySpark
Delta Lake
Power BI
Snowflake
Synapse Analytics

You do not need to know all of these technologies.
A strong understanding of data engineering concepts and the ability to quickly learn new platforms are more important.
Your profile
We are looking for someone who:

Has at least 3 years of experience in Data Engineering, BI or Data Analytics
Is comfortable working independently on technical tasks
Can understand an existing data architecture and contribute to improving it
Has good problem-solving skills
Writes clean, maintainable and documented code
Is comfortable communicating with international teams
Has a good professional level of English
Is curious and willing to learn new technologies

Nice to have
Experience with:

Medallion architecture: Bronze / Silver / Gold
Dimensional modelling / Star Schema
Data Vault
Azure DevOps
Terraform or Infrastructure as Code
CI/CD for data platforms
Data governance
Power BI semantic models
AI / Machine Learning data pipelines

Work Location: Remote in Tunisia