Senior Data Engineer (Contract)

Hiflylabs

Budapest, Hungary Contract 10 days ago
Workplace
On-site
Location
Budapest, Hungary

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About the role

Job Description

Hiflylabs is looking for experienced Senior Data Engineer partners for long-term project-based collaborations. We are looking for experts who value professional freedom and variety. We are open to discussing different levels of engagement, including both full-time and part-time (20-30 hours/week) roles, depending on our project pipeline and your availability.

Qualifications

Responsibilities

* Design and implement modern data architectures and lakehouse solutions (Databricks, Snowflake, Azure, AWS). * Provide technical leadership throughout the project lifecycle and collaborate with business stakeholders. * Create effort estimations and provide technical expertise during the pre-sales phase. * Mentor 3-6 person project teams and ensure code quality (code reviews).

Requirements

* At least 5 years of experience in data engineering. * Proficiency in cloud platforms (AWS or Azure) and data tools (Databricks or Snowflake). * Strong knowledge of SQL, Python, or PySpark. * Proven track record of designing and delivering complex data solutions. * Excellent communication skills in both English and Hungarian. * Valid B2B/Contractor status with the ability to issue invoices.

Additional Information

Why partner with us?

* Project Variety: We work across diverse sectors, ensuring you face fresh architectural challenges instead of a monotonous routine. * Flexibility: We offer the opportunity to balance this collaboration with your other professional commitments through flexible hours. * Professional Autonomy: You will have a real say in technical solution design and decision-making. * Stable Partnership: Even though it is a contract role, we aim for long-term relationships and a steady flow of high-end projects. * Remote first: While we operate with a remote-first mindset, please note that as a consultancy, some of our clients may require occasional on-site presence at their offices or ours.

Recruitment Process

Our selection process remains thorough but efficient: after an initial introductory call, we will proceed with a deep-dive technical interview to discuss your expertise and find the best project fit for you.

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  • Python 79%
  • ETL 75%
  • Data modeling 50%
  • Data quality 49%
  • AWS 47%

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