senior data engineer (952)

We are looking for a Senior Data Engineer to join our high-caliber Analytics & Strategy team.

Role

If you are an experienced Senior Data Engineer passionate about developing advanced data management systems and architecting complex data pipelines. If you enjoy designing and implementing innovative solutions that transform raw data into valuable business intelligence and want to collaborate with high-performing cross-functional teams to drive data-driven decision making across the company. This is the right place to be!

Key Accountabilities

• Monitor and optimize database performance to ensure high availability of data systems to the Analytics & Strategy team.
• Design, develop, and maintain scalable data pipelines and ETL processes for efficient data processing.
• Evaluate and integrate new data technologies to enhance the company's data ecosystem.
• Establish data governance standards and best practices for data quality and security, including the creation and maintenance of comprehensive documentation for data models, pipelines, and architecture.
• Collaborate with data scientists, business analysts and business stakeholders to translate requirements into technical solutions.
• Architect and implement robust data infrastructure solutions to support business intelligence and analytics needs.
• Conduct data mining, data engineering, preprocessing and validation for structured and unstructured datasets
• Mentor junior engineers and provide technical guidance on complex data projects.
• Present analytical results clearly to non-technical stakeholders.

Professional Experience & Qualifications

• Minimum 4 years of experience in relevant fields of MIS / Data Engineer. Consulting and banking experience is preferred
• University degree in Computer Science, Engineering, Science, Economics or related discipline. Master’s Degree will be considered as an asset

Core Competencies & Knowledge

• Expert knowledge of database systems and data warehousing concepts including dimensional modeling, star/snowflake schemas, and data marts
• Advanced proficiency in SQL for complex querying, optimization, and data management
• Strong programming skills in Python for data manipulation, transformation, and automation
• Extensive experience designing and implementing ETL/ELT pipelines for large-scale data processing
• Hands-on experience with data orchestration tools (e.g., Apache Airflow, Azure Data Factory)
• Proven expertise with cloud infrastructure and services (AWS, Azure, or GCP)
• Practical knowledge of Databricks ecosystem and Azure Synapse Analytics for data processing and analytics
• Experience with distributed processing frameworks (Spark, Hadoop)                               
• Working knowledge of data versioning, data quality monitoring, and testing methodologies
• Strong understanding of data governance principles and best practices
• Excellent problem-solving abilities and attention to detail
• Effective communication skills in both Greek and English to collaborate across technical and non-technical teams in an international environment
• Experience with CI/CD practices for data pipelines and infrastructure as code
• Ability to dissect complex data structures and extract meaningful insights to drive informed business decisions.

Our Values define us and make us stand out!

Collaboration: We take on shared responsibilities

Leadership: We act as role models and empower colleagues and collaborators

Effectiveness: We act with determination and proactivity

Responsibility: We build trust and credibility with our customers

What you will find with us: Take your career to the next level working with amazing teams!

We are offering:

• Αn attractive remuneration package and benefits
• A dynamic professional working environment with excellent potential to grow and develop
• International business exposure and stretching project assignments

We want to be able to attract the best of the best, and make sure they keep getting better and do amazing things!

Do you feel that you are a good fit? If, so, apply to this job opportunity!