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Data Engineer

AIDA Recruitment

Role overview

Qualifications

  • 4+ years of hands-on experience in data engineering
  • Strong knowledge of SQL (4+ years), Python, and Git
  • Proven experience with Apache Airflow for pipeline automation
  • Understanding of SDLC principles and version control

Responsibilities

  • Collaborate with Business Analysts and Product Owners to clarify requirements and align priorities
  • Design, build, and maintain SQL procedures and datasets reflecting business logic
  • Develop and automate data pipelines using Apache Airflow
  • Write clean, standardized Python and SQL code following best practices

About the company

AIDA Recruitment logo

AIDA Recruitment

Staffing & Recruiting

AIDA Recruitment - technology and artificial intelligence-based employee search for your company! Using modern digital technologies, we select targeted candidates and provide you with a top list.

Company details

IndustryStaffing & Recruiting
Company size2 - 10

Links

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Job description

Key Responsibilities:

  • Collaborate with Business Analysts and Product Owners to clarify requirements and align priorities
  • Design, build, and maintain SQL procedures and datasets reflecting business logic
  • Develop and automate data pipelines using Apache Airflow
  • Write clean, standardized Python and SQL code following best practices
  • Identify and resolve data quality or performance issues

Must-Have Requirements:

  • 4+ years of hands-on experience in Data Engineering
  • Strong knowledge of SQL (4+ years), Python, and Git
  • Proven experience with Apache Airflow for pipeline automation
  • Understanding of SDLC principles and version control
  • Excellent communication and collaboration skills in English

Nice to Have:

  • Experience with Sybase or other enterprise databases
  • Background in banking or financial data environments

We offer:

  • Full remote
  • B2B contract
  • Salary is 4500-5500 EUR GROSS/month

Our Recruitment Process

  • CV Screening: Applications are reviewed within 24 hours.
  • Pre-Screening Interview: A brief AI-assistant or interviewer-led interview to assess experience and role suitability.
  • Shortlisting: Qualified candidates are presented to the hiring manager for review.
  • Formal Interviews: Online discussions with the hiring manager or project team, with feedback provided within 1-2 weeks.
  • Offer and Onboarding: Successful candidates receive a formal offer and begin a structured onboarding process.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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