BI Data Engineer

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 a BI Data Engineer to design, build, and maintain enterprise-scale data warehouses and Business Intelligence solutions. You will bridge the gap between raw data and actionable insights, working across cloud and on-premises environments to deliver trusted analytics platforms that serve business stakeholders.

Requirements

The ideal candidate will be responsible for:

• Build and maintain Enterprise Data Warehouses (EDW) and modern data lakehouse architectures (cloud, on-premises, and hybrid).
• Design and implement ETL/ELT pipelines incorporating data contracts, schema evolution management, and orchestration workflows.
• Develop dashboards, KPIs, and self-service BI tools that translate data into actionable insights for business users.
• Implement and manage data virtualization layers to provide unified access to heterogeneous data sources.
• Design and enforce data quality frameworks, observability practices (lineage, freshness), and SLA/SLO definitions.
• Govern the BI semantic layer — including metrics catalogs, naming conventions, and row-level security — to ensure consistency and trust.
• Optimize database schemas, query performance, and platform costs through partitioning, caching, and clustering strategies.
• Manage access controls and data security within BI platforms in line with GDPR requirements.
• Enable self-service analytics capabilities through curated datasets, certified reports, and user training.
• Produce and maintain technical documentation including data dictionaries, lineage maps, and runbooks.

To excel in this role, you'll need:

• Solid knowledge of enterprise data warehouse design, including dimensional modeling and star/snowflake schemas.
• Familiarity with data lake and lakehouse patterns (Delta Lake, Apache Iceberg) for large-scale analytics.
• Excellent SQL skills and experience with both relational and non-relational database systems.
• Hands-on experience with BI reporting tools (Power BI, Tableau, Qlik) and ETL/ELT platforms (Informatica, Talend, dbt, Azure Data Factory).
• Knowledge of CDC and near-real-time ingestion technologies (Kafka, Debezium, GoldenGate).
• Experience with cloud BI architectures (Azure Synapse, Snowflake, AWS Redshift).
• Familiarity with data governance and cataloguing platforms (Collibra, Alation, Azure Purview).
• Understanding of data observability practices including freshness tracking, lineage, and anomaly detection.

Nice to have:

• One of the following or an equivalent: Microsoft Data Analyst Associate, Microsoft Azure Data Engineer Associate, or Amazon Certified Data Analytics Specialty.