Senior Data Engineer (Contract)
At a glance
Senior Data Engineering role at Hiflylabs. Budapest · contract.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build data architectures and lakehouse setups using Databricks, Snowflake, Azure or AWS
- Guide technical work from project start to finish and coordinate with business stakeholders
- Estimate project effort and advise on technical choices during pre-sales
- Coach project teams of three to six and review their code
What you bring
- At least five years working in data engineering
- Hands-on expertise with AWS or Azure and Databricks or Snowflake
- Strong SQL, Python or PySpark skills, plus a record of delivering complex data solutions
- Fluent communication in English and Hungarian, and valid contractor status with invoicing ability
Who this fits
This contract role suits a senior data engineer who wants project variety, technical decision-making autonomy and flexible hours. Full-time and part-time arrangements, including twenty to thirty hours weekly, are open for discussion. The work is remote-first, with occasional client-site or office visits possible. It is a contractor engagement, and you need to be able to issue invoices.
From the employer
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!
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.
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