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Senior Data Engineer

●

8 months ago

Greece, Attiki, Palaia Fokaia
Full Time
Senior
Hybrid

Basic Information

At Metlen Energy & Metals, we are catalysts for a sustainable future, leading the green energy transition with innovative solutions while being a reference point for competitive green metallurgy. Our global presence covers two business Sectors: Energy and Metallurgy. With a consolidated yearly turnover of €6.3 billion and a workforce of over 5,500 dedicated individuals, we fuel success through cutting-edge technology and diverse talent. 

We are currently seeking a Senior Data Engineer to join our Data Management Team and play a key role in designing, building, and evolving our next-generation data platform on Microsoft Azure Cloud.

By joining this role, you’ll contribute to data processing, transformation, and management, integrating information from various sources to support business objectives. You will collaborate closely with Data Architects, Business Analysts, and cross-functional teams to ensure scalable, efficient, and high-performance data solutions.

Responsibilities

  • Design, develop, and optimize ETL pipelines and data transformation processes to support business needs.
  • Participate in technical workshops with Data Architects, providing input on data architecture and solution design.
  • Work closely with Project Managers and Business Analysts to define requirements and align data solutions with business goals.
  • Monitor and enhance the Corporate Data Warehouse, ensuring efficient data flow and reliability.
  • Collaborate with IT and engineering teams to integrate data across systems, enabling seamless reporting and analytics.
  • Implement automation and optimization techniques to improve data processing efficiency.
  • Provide mentorship to junior data engineers, fostering skill development and best practices.
  • Maintain and enhance reporting data schemas, ensuring accurate and accessible insights.

Requirements

Cloud Infrastructure
Extract Transform Load (ETL)
Microsoft Azure
MongoDB
SQL
  • BSc or MSc in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5-7 years of experience in Data Engineering, Business Intelligence, or a related domain.
  • Fluency in English, both written and verbal.
  • Strong expertise in data warehousing concepts (ETL, OLAP, Dimensional Modeling, Data Marts, etc.).
  • Experience with Azure Data Factory, Databricks, Azure Synapse, or Azure Dedicated SQL Pool.
  • Hands-on experience with Big Data tools (e.g., NoSQL databases like Azure Cosmos DB, MongoDB).
  • Proficiency in SQL, data transformation, and reporting frameworks.
  • Familiarity with source control tools, code repositories, and versioning best practices.
  • Strong problem-solving and analytical skills, with the ability to optimize data workflows.
  • Excellent teamwork, communication, and ability to work cross-functionally.

Benefits

  • Competitive remuneration package  
  • Ticket Restaurant Card  
  • Group Health Insurance Plan  
  • Preferential household electricity plan   
  • Pension Plan    

Good to have

  • Previous experience in DWH/BI projects within the energy, metals, or retail industries is a plus.
About the company

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About the company

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Metlen Energy & Metals

Metlen Energy & Metals

Data Science
Data Engineer
No longer accepting applications