data engineer.

The company offers for the Data Engineer position: 

• Competitive Remuneration Package: cutting-edge technological equipment, restaurant vouchers, private health insurance, life insurance, income protection, and access to an exclusive benefits club offering various discounts and promotions.
• Flexible Working Arrangements: Hybrid working model tailored to your preferences and team’s needs, with short Fridays during the summer
• Personalized Learning Experience and Career Development: Free and unlimited access to educational platforms, support for certifications, coaching, and feedback as part of our Leadership & Development process.
• International Experience: Participate in international projects and work with multicultural teams through our global network.

As Data Engineer, you will be part of the Data and Analytics team of the Technology Consulting practice and you will work with multi-disciplinary teams to support clients in a wide range of data initiatives aiming to generate and present new, useful and actionable insights. More specifically, your responsibilities will include:

• Participate in large-scale client engagements.
• Contribute to or lead the delivery of innovative and engaging data engineering solutions.
• Understand business and technical requirements, providing subject matter expertise and implementing data engineering techniques.
• Design innovative data engineering solutions.
• Conduct data discovery activities, perform root cause analysis, and recommend remediation for data quality issues.
• Manage organizational and time management skills to prioritize and complete multiple complex projects under tight deadlines.

The successful Data Engineer will need to have the following skills:

• A BSc or MSc degree in Computer Science, Engineering or other equivalent subject
• 1-3 years of relevant working experience
• Knowledge of Data Management, Data Warehousing and Cloud concepts 
• Working experience in complex SQL querying and development (Joins, Stored procedures/functions, Aggregations/Window Functions, CTEs, Indexes, optimization)
• Experience in ETL/Pipelines design & development using industry tools (e.g. SSIS, Databricks etc)
• Excellent command in English both oral and written
• Experience with Python programming
• Familiarity with Cloud Data Platforms (Azure, Databricks) and knowledge of Apache Spark and Big Data Infrastructure will be considered as an asset
• Experience in the banking industry will also be a plus
• Availability for on-call responsibilities

1+ year(s) of relevant working experience in Data Engineering

If this Data Engineer vacancy sounds like you, apply now!

Have some questions first? Contact Katerina at +30 6940601921 from Monday to Friday between 10:00 and 16:00. Otherwise, feel free to contact me at kalexopoulou@randstad.gr

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.