Senior Data Engineer (Freelance / B2B Contractor) at Hiflylabs

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Lakehouse Solutions, Databricks, Snowflake, Azure, AWS, Technical Leadership, SQL, Python, PySpark, Code Reviews, B2B Contractor Status

Industry

IT Services and IT Consulting

Description

Company Description Hiflylabs is a Budapest-based company. We have 250+ employees at this moment and we are constantly thriving. Our application development team and business intelligence experts work to provide effective solutions to business problems. Our professional team has proved its expertise through 10 years of experience, participating in multiple Business Intelligence projects - both Hungarian and international - in various industries, such as the financial, telecommunication and energy sectors. We deliver a wide portfolio of innovative business solutions that include Data Warehouses, Business Intelligence, Data Analytics. In the last few years we have acquired a high level of competence in Application Development. Hiflylabs is committed to innovation, and encourages the realization of innovative initiatives in the form of independent startups. Get an insight on how we work and check out our Website, LinkedIn page and YouTube channel! 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. Tag: DATA ENGINEERING

Responsibilities

The Senior Data Engineer will be responsible for designing and implementing modern data architectures and lakehouse solutions using platforms like Databricks, Snowflake, Azure, or AWS. This role also involves providing technical leadership, mentoring project teams, and ensuring high code quality through reviews.