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Data Engineer

A neobank building innovative and transparent digital banking solutions in Greece
Athens, GreeceIoannina, Greece
Data
Senior Software Engineer
Hybrid
5+ years of experience
Finance

Description For Data Engineer

Snappi, an innovative neobank in Greece, is seeking a Data Engineer to join their mission of reshaping the financial landscape through technology. This role is crucial in designing and managing data architecture, pipelines, and systems that power their digital banking solutions. The ideal candidate will have 5+ years of experience and strong expertise in Python, SQL, and Azure Data Factory.

The position offers a blend of technical challenges and collaborative opportunities, working closely with data scientists, analysts, and DevOps teams. You'll be responsible for building scalable data infrastructure, implementing ETL processes, and ensuring data integrity across the organization. The role requires both technical excellence and strong communication skills, as you'll be translating business requirements into technical solutions.

Snappi offers an attractive work environment with a 37-hour work week, hybrid work flexibility, and comprehensive benefits including medical insurance, pension plan, and various allowances. The company strongly values diversity and provides ongoing learning opportunities. This is an excellent opportunity for a seasoned data professional who wants to make an impact in the fintech sector while enjoying work-life balance and professional growth.

The position is based in either Athens or Ioannina, Greece, offering the chance to work with a forward-thinking team that's revolutionizing banking through technology. If you're passionate about data engineering and want to contribute to building the future of digital banking while working in an environment that values innovation and work-life balance, this role at Snappi could be your next career move.

Last updated 2 months ago

Responsibilities For Data Engineer

  • Design, develop, and maintain scalable data pipelines and infrastructure
  • Collaborate with data scientists and analysts to understand data requirements
  • Build and optimize data models and schemas
  • Implement ETL processes
  • Monitor and troubleshoot data pipelines
  • Evaluate and implement new technologies
  • Document data pipelines and processes
  • Work with infrastructure and DevOps teams
  • Stay current with industry trends

Requirements For Data Engineer

Python
  • Bachelor's Degree in Computer Science or Electronics or equivalent work experience
  • Minimum 5 years experience in a similar role
  • Knowledge of SQL, Python, Azure Data Factory
  • Excellent interpersonal and communication skills
  • Strong problem-solving attitude
  • Experience with agile software processes
  • Fluent in Greek and English

Benefits For Data Engineer

Medical Insurance
Vision Insurance
Dental Insurance
  • Competitive salary
  • Hybrid work flexibility
  • 37-hour work week
  • Medical & Life insurance coverage
  • Extra paid time off
  • Employer-sponsored pension plan
  • Savings plan for children
  • Daycare allowance
  • Additional school monitoring days
  • Special rates on banking products
  • Learning & career development opportunities
  • Team activities & events

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