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Overview

Skills: Professional experience as a Data Engineer (mid-level or senior). Strong experience building and maintaining data pipelines. Proficiency in Python. Hands-on experience with PySpark. Experience working with Databricks. Solid understanding of data modeling, ETL/ELT processes, and distributed data processing. Familiarity with Claude or other AI-assisted development tools.

Reference Number: UPC1580

Marker Greece, Thessaloniki Marker ,

We are currently seeking talented Data Engineers (Mid-Senior) on behalf of one of our major clients in the Insurance and Technology sector.

 

Location: Thessaloniki, Greece

 

 

Mid:

working model: hybrid only in Thessaloniki

salary range: 2600 – 3000 euros gross

 

Senior:

working model: remote can be accepted

salary range: 3000 – 3500 euros gross

 

 

Job Profile:

We are looking for Data Engineers (Mid-Senior) to design, build, and maintain scalable data solutions that support analytics, machine learning, and business intelligence initiatives. The ideal candidate has strong experience developing data pipelines, working with modern data platforms, and writing high-quality, maintainable code. You are curious about emerging technologies and open to adopting new engineering practices and methodologies.

 

 

Key Responsibilities

  • Design, develop, and maintain reliable and scalable data pipelines.
  • Build and optimize ETL/ELT workflows using modern data engineering best practices.
  • Develop data processing solutions using PySpark and Python.
  • Work with Databricks to build, test, and deploy data engineering solutions.
  • Ensure data quality, performance, reliability, and observability across data platforms.
  • Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to deliver data products.
  • Participate in code reviews and contribute to continuous improvement of engineering standards.
  • Learn and apply a design-first methodology for developing robust, maintainable data solutions.

 

Required Skills & Experience

  • Professional experience as a Data Engineer (mid-level or senior).
  • Strong experience building and maintaining data pipelines.
  • Proficiency in Python.
  • Hands-on experience with PySpark.
  • Experience working with Databricks.
  • Solid understanding of data modeling, ETL/ELT processes, and distributed data processing.
  • Experience with version control and collaborative software development practices.

Preferred Qualifications

  • Willingness to learn and adopt a design-first methodology for solution development.
  • Familiarity with Claude or other AI-assisted development tools to improve engineering productivity.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.

 

 

Benefits

  • Remote (for Senior level) and Hybrid (for Mid-level) model of working
  • Competitive remuneration package
  • Private Insurance
  • A dynamic challenging environment resulting in continuous learning / education / progression
  • Ability to work with cutting edge technologies
  • Pleasant working environment
  • Ability to expand knowledge and responsibilities

 

UpcoMinds is a dynamic IT company with 29 years of experience that provides end-to-end web and mobile solutions helping businesses to reinvent themselves in the digital world. Our team’s skills and expertise will ensure the holistic digital transformation of any organization, which will considerably improve both business operations and customer’s experience.

Our goal is to always have our end products and services reflect our deep engineering skills and elegant progressive design aesthetic. We fundamentally believe deeply in developing long term strategic partnerships with our clients by exceeding expectations and maintaining a high level of transparency.

Find out more about us at www.upcominds.com

We commit to promote Inclusion & Diversity by creating a working environment where all employees are treated with dignity and respect and where individual differences are valued. We offer equal opportunity in all aspects of employment.

Our recruitment consultants will go through your Curriculum Vitae as soon as possible and get back to you to discuss the opportunity for which you apply. If you don’t hear from us in the coming ten (10) working days, you may consider that you have not been selected for the particular job.

By submitting your CV, you consent to its retention in our database for a period of two (2) years, for the purpose of considering your application for current or future employment opportunities, in accordance with applicable data protection legislation GDPR.

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