Data Engineer (Databricks / Fabric)

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 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.

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.

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.

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).