databricks engineer.

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

• Competitive remuneration package and Meal Tickets.
• Hybrid working schedule providing the flexibility you need.
• Private Medical Insurance for your peace of mind.
•  22 annual vacation days, plus 3 "no-certificate-needed" sick days, and seniority days added every 3 years.
• Well-being Focus: Specialized sessions, webinars, and internal programs tailored to employee input.
• Cutting-edge IT equipment and a path for continuous professional growth.

Your key responsibilities will be to:

• Create and maintain optimal data pipelines, assembling large, complex data sets that meet functional and non-functional business requirements.
• Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
• Build the infrastructure required for optimal ETL/ELT processes from a wide variety of data sources using Microsoft technologies and Azure Databricks.
• Develop analytics tools that utilize the data pipeline to provide actionable insights aligned with key business performance metrics.
• Collaborate with stakeholders, including Executive, Product, and Design teams, to assist with data-related technical issues and support their data infrastructure needs.
• Work closely with data and analytics experts to strive for greater functionality and innovation within the data systems.

To qualify for this role, you must have:

• Minimum 3 years of experience as a Data Engineer, with a proven track record in building robust data solutions.
• Solid experience with Azure Databricks and the Azure cloud platform (DP-203 certification is a strong plus).
• Strong proficiency in SQL and PySpark, with experience in big data technologies and distributed computing frameworks (Spark).
• Expertise in Data Warehousing and ETL principles, along with a solid understanding of data modeling.
• Understanding of Data Governance and data security best practices.
• Excellent stakeholder management skills and experience in customer-facing roles, with the ability to align technical insights with business objectives.
• 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.