data engineer.

The company offers continuous opportunities for development in a modern and dynamic work environment, as well as:

• Competitive remuneration package, cash perk, and annual bonus scheme.
• Hybrid working schedule
• Health insurance coverage and pension plan.
• Wellness perk.
• Cutting-edge IT equipment, mobile and data plan.

Your key responsibilities will be to:

• Pipeline Development & Integration: Develop and maintain scalable data pipelines as well as build new API integrations to support continuing increases in data volume and complexity.
• Data Quality & Monitoring: Implement processes and systems to monitor data quality, ensuring data produced is always accurate and available for key stakeholders and business processes.
• Modeling & Architecture: Define company data assets (data models), design data integrations and a data quality framework. Work closely with business units to develop the strategy for long-term data platform architecture.
• Collaboration & Optimization: Collaborate with analytics and business teams to improve data models that feed business intelligence tools and increase data accessibility.
• Data Science Support: Enhance the firm’s Data Science and BI professionals, focusing on data workflows implementation and management that support machine learning models and large-scale analytics.
• Testing & Documentation: Write unit/integration tests, contribute to the engineering wiki, and document your work.Troubleshooting: Perform data analysis required to troubleshoot data-related issues and assist in resolving relevant issues.

To qualify for this role, you must have:

• Bachelor's degree in Computer Science, Engineering, or a related field. An MSc degree in a related technical field is an asset.
• Advanced Python, PySpark, and SQL programming skills (minimum 3 years of experience is desired). Familiarity with Scala is a plus.
• Experience with or knowledge of cloud services, SQL/NoSQL databases, and Docker/Kubernetes.
• Working experience in Microsoft Azure Technology and Databricks (or similar technology) for at least two years.
• Minimum 3 years of experience with schema design and dimensional data modeling.
• Experience with or knowledge of Agile Software Development methodologies. 
• Excellent problem solving, analytical, and critical-thinking skills. 
•  Excellent command of both Greek and English. 

3+ years of experience as Data Engineer

Got any questions regarding this position? You can contact Konstantinos Adamopoulos at 6940080281, from Monday to Friday. Otherwise, feel free to contact me at kadamopoulos@randstad.gr.

We look forward to receiving your application, uploading your updated CV by clicking the 'apply now' option.

In case that your application advances to the next stage, you may be automatically invited to submit a video, answering a few interview questions.

Please note that for transparency and equity reasons, only those applications made online via our site will be assessed. After the screening of all the CVs received, we will only contact the candidates who meet the requirements of the job to arrange an interview. ​All applications are considered strictly confidential.