# Data Engineer (Databricks / Fabric)

**Company:** [SquareDev](http://jobs.workable.com/companies/wQZ5ptvWTa31vomire9Cix.md)
**Location:** Brussels, Belgium
**Workplace:** hybrid
**Employment type:** Full-time
**Department:** AI & Data

[Apply for this job](http://jobs.workable.com/view/5ff38911-a3df-4674-b7d1-6566d7eb1f6a)

## Description

### **Why are you looking for a job?**

If your answer ticks all the boxes, this could be the start of a great collaboration.

-   You have a curious mind - You won't understand what we're talking about if you don't 🤔
-   You want to learn more around technology - You won't survive if you don't 😱
-   You want to make the world a bit better - We don’t like you if you don’t 😎

We happen to be just like that as well. We like hacking things here and there (you included) and create scalable solutions that bring value to the world.

### **SquareDev? 🐿️**

We use state-of-the-art technology to build solutions for our customers and our partners' customers. We make sure we stay best-in-class by participating in **research projects across Europe**, collaborating with **top universities and enterprises** **on** **AI, Data, and Cloud**.  
  
**About QnR Group**

**SquareDev is a member of the** **QnR Group**, a leading technology organization specializing in end-to-end custom software solutions, Artificial Intelligence, Cybersecurity, SAP S/4HANA, SAP Business One, ServiceNow, and FinTech solutions.

As part of QnR Group's ongoing expansion — both in Greece and internationally — we are continuously hiring across a wide range of tech roles. Successful candidates may be hired by QnR Group, or another company within the Group, depending on the role and project.

### **Role overview**

We are looking for experienced **Data Engineers** to join our team and work on enterprise**\-**scaledataand AI projects.

You will be part of projects built either on **Microsoft Fabric technologies** or on **Databricks-environments**, collaborating closely with data scientists and software engineers to deliver AI-ready datasets and analytics solutions.

## Requirements

**The ideal candidate will be responsible for:**

-   Designing and implementing data pipelines (batch and streaming) for analytics and AI workloads.
-   Building and maintaining data lakes and warehouses (OneLake, Delta Lake, BigQuery, Snowflake, or similar).
-   Developing and optimizing ETL/ELT workflows using tools like Spark, dbt, Airflow, or Prefect.
-   Ensuring data quality, observability, and governance across all pipelines.
-   Working closely with data scientists and software engineers to deploy and maintain AI-ready datasets.

**To excel in this role, you'll need:**

-   At least **3 years of relevant work experience** as a Data Engineer.
-   Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
-   Experience working in cloud platforms (e.g. **MS Azure, AWS, GCP**).
-   Hands-on experience with **Databricks** and/or **Microsoft Fabric**.
-   Strong experience in **SQL** and **Python** (PySpark or similar).
-   Hands-on experience with data modeling, ETL frameworks, and data orchestration tools.
-   Familiarity with distributed systems and modern data platforms (Spark, Databricks, Fabric, Snowflake, or BigQuery).
-   Understanding of data lifecycle management, versioning, and data testing.
-   Solid grasp of **Git** and **CI/CD** workflows.
-   Strong communication skills in English.

**Nice to have:**

-   Knowledge of vector databases (pgvector, Pinecone, Milvus) or semantic search pipelines.
-   Interest or knowledge in LLMs and AI pipelines.
-   Familiarity with data catalogs, lineage tools, or dbt tests.
-   DevOps familiarity (Docker, Kubernetes, Terraform).