Time since we first saw it
Day 12
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
Budapest, Hungary
Live, first seen by us 12 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: ContractFrom the employer’s posting
Design and implement modern data architectures and lakehouse solutions (Databricks, Snowflake, Azure, AWS).
Create effort estimations and provide technical expertise during the pre-sales phase.
Mentor 3-6 person project teams and ensure code quality (code reviews).
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.
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).
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
Proficiency in cloud platforms (AWS or Azure) and data tools (Databricks or Snowflake).
Strong knowledge of SQL, Python, or PySpark.
Excellent communication skills in both English and Hungarian.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 12
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
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.
- 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.
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Senior Data Engineer (Contract) job there since June 2026. It came down after 142 days.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
Requirements
Why partner with us?
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.
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!
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Budapest, Hungary
- 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
No clear work-authorization passage found. Eligibility is unconfirmed.