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Data Engineer ( Databricks/Azure )

Roles & Responsibilities

  • Bachelor’s degree in Computer Science, Information Systems Engineering or other similar fields
  • Minimum 3 years proven experience in Data Engineering
  • Hands-on experience with Databricks and Azure Data Factory
  • Proficiency in Python/PySpark

Requirements:

  • Collaborate with Data Engineers, BI developers and other Tech departments to solve complex challenges for internal teams in Greece and abroad
  • Interpret written business requirements into technical specification documents and analyze source data to understand relationships, hierarchies, groups, and trends
  • Understand and improve the Data Warehousing concept with a focus on Databricks; contribute to architecture and select the right components; implement and optimize ETL jobs and data models using Databricks
  • Document findings and share best practices within the team and with stakeholders

Job description

About us:

At NN Hellas, we're proud to be the #1 insurance company in Greece, offering innovative insurance solutions that cover the entire territory of Greece since the 80’s! We have a proven record of taking great care of our employees – we were considered a Top-Employer for 8 consecutive years.

What you will do:

As a Data Engineer, you’ll become a key player in our dynamic Data team, known for being very eager to learn, thriving for growth and creative solutions. You’ll have the opportunity to collaborate with not only several local stakeholders, but also our International Business Units. With several exciting global initiatives launching this year, you’ll be at the forefront of innovation, helping to shape the future of our practices.

Your day-to-day:

  • Work closely with a talented team of Data Engineers, BI developers and other Tech departments, to solve important and complex challenges for internal teams within Greece and abroad
  • Interpret written business requirements into technical specification documents
  • Analyze source data, understand relationships, hierarchies, groups, trends etc.
  • Understand our Data Warehousing concept and improve it (with a focus on Databricks)
  • Contribute to the Data solutions' architecture and select the right components
  • Implement, enhance and optimize ETL jobs and Data Models, leveraging Databricks for efficient data transformation and loading
  • Document and communicate your findings, as well as, share best practices within the team and stakeholders

Qualifications:

  • Bachelor’s degree in Computer Science, Information Systems Engineering or other similar fields
  • Minimum 3 years proven experience in Data Engineering
  • Hands-on experience with Databricks and Azure Data Factory
  • Proficiency in Python/PySpark
  • Extensive knowledge of relational database platforms and T-SQL
  • Familiarity with logical and conceptual data models
  • Experience with leading BI tools such as Power BI or Tableau is highly valued
  • Experience in working with large data sets is a plus
  • Experience with Enterprise applications (ERP, CRM, WMS, etc.) and Data Warehouse environments is a plus
  • Databricks Certified Data Engineer certification (or equivalent) is a plus
  • Knowledge of Insurance Industry is also a plus

What we offer:

• Extensive training opportunities - on-demand and on-site options, webinars, seminars, and fully covered certifications (our Data team is the #1 team leading the training leadership!)

• Partnership with multiple educational institutions across Greece for advanced education, with tuition support.

• Comprehensive Health Insurance that keeps you safe, with peace of mind and financial protection in times of need.

• Pension Scheme to secure your financial future and ensure you can plan confidently for the years ahead.

• Well-being and work-life balance, including extra days off for medical emergencies, no medical note needed, and support for working parents.

• One-time budget for home-office equipment to make your work-from-home comfortable.

• Recognition and rewards for excellence, including bonuses and salary increases based on your contribution throughout the year.

• Monthly meal allowance that can be used at supermarkets and cafeterias, including our own offices' cafeteria.

• Recently renovated offices, central location, with easy access

If the role sounds interesting to you and you believe you don’t fulfill all the requirements, feel free to still apply– we are happy to hear from you and discuss options.

Join our team of data experts and help us keep our data safe and complete, making sure our clients receive the best possible service, we’d love to hear from you!

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