# BI Data Engineer

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

[Apply for this job](http://jobs.workable.com/view/ef1172b2-7c4f-4b56-8ae7-c87a67104db0)

## 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 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.