Senior Data Engineer
3 days ago
On behalf of our client, w
e are now looking for a
Senior Data Engineer
to join their team in Athens
Responsibilities
- 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
Requirements
- Minimum 4 years of experience in relevant fields of MIS / Data Engineer
- University degree in Computer Science, Engineering, Science, Economics or related discipline. Master's Degree will be considered as an asset
- 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
Benefits
- Nursery or kindergarten allowance
- Comprehensive healthcare program covering dependents without extra charges
- Pension Plan
- Annual bonus based on target achievement
Good to have
- Consulting and banking experience is preferred
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