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Senior Data Engineer (Contract) @ Hiflylabs

HUOnsiteContractJob reference REF134H
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About this role

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.

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. 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.

Skills

Data PlatformInformation TechnologyExecutiveInformation Technology And Services

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