Data Engineer at INCELLIGENT

Athens, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Cloud Data Ecosystem, Databricks, Microsoft Fabric, Microsoft Purview, Apache Spark, SQL, Azure DevOps, Docker, Kubernetes, Python, Data Architecture, Data Governance, ETL Stack, OOP, Data Lineage, Presentation Skills

Industry

Telecommunications

Description

We are looking for a Data Engineer to join our growing engineering team in Athens. The role will be mainly around Cloud Data Engineering/Data governance aspects and primarily, in technologies of the Azure Cloud Data Ecosystem Who We Are Incelligent provides Big Data and AI-powered software solutions to help large corporations achieve digital transformation. By following best practices in data-driven development, Incelligent has managed to systematically incorporate the latest advances in Big Data, Analytics and Artificial Intelligence (AI)/ Machine Learning (ML) technologies in its product research and development processes, resulting into a diverse product portfolio that includes out-of-the box and production-ready, AI/ ML solutions, tailor-made for both the Enterprise (such as Telecommunications, Banking, Energy, Real Estate...) and Public (such as Revenue, Customs Authorities) sectors. Minimum Requirements BSc/MSc in Electrical & Computer/Electronic Engineering, Computer Science, or other related fields Minimum of 3 years of experience in Azure cloud data ecosystem and related data technologies/frameworks Databricks (Spark, Delta Lake, Unity Catalog, Orchestration) Microsoft Fabric (Lakehouse, DF, OneLake, Purview integration, CI/CD) Microsoft Purview technical integration (lineage APIs, scanning, metadata Apache Spark (PySpark/Scala, optimization, distributed processing) Advanced SQL Knowledge (subqueries, CTEs, window functions, pivot/unpivot) Hands-On Azure DevOps, Docker, Kubernetes, Helm Experience with open-source ETL Stack (Airflow, Iceberg, Lakekeeper, MinIO) Strong OOP Python background (Kafka client, FastAPI, pytest or similar tools) Understanding of data architecture (Medallion) Data architecture principles and patterns Data lineage mapping across systems Other qualifications Oral and written communication skills, with the ability to clearly convey complex information Presentation skills, capable of engaging and persuading diverse audiences Proficient in English and Greek, with a high level of fluency and comprehension A strong desire and enthusiasm for learning and adapting to modern technologies and industry trends Proven ability to perform effectively under pressure, delivering high-quality work within time-sensitive deadlines Collaborative spirit, motivating and inspiring colleagues to achieve collective goals Highly competitive salary based on your skills, reviewed upwards on a regular basis, based on your performance. Participation in state-of-the-art projects and tech challenges Personal and professional development, amongst industry experts and talented people Continuous learning, having access to broad resources for professional and personal development Friendly environment and fun team members Commitment to Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, or other characteristics. We respect your personal data. All personal information in your application and CV will remain strictly confidential.

Responsibilities

The Data Engineer will focus on Cloud Data Engineering and data governance aspects within the Azure Cloud Data Ecosystem. They will work on various technologies and frameworks to support data-driven development.