Time since we first saw it
Day 12
Similar jobs usually come down between day 6 and day 54.
From 10,764 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: Full-timeFrom the employer’s posting
2–3 years of relevant experience in data, ETL, data migration, or a similar role
Hands on experience with current AI chat and coding tools
Good communication skills in English, both written and spoken.
Experience with Snowflake / Dataiku / Impala / db2.
Experience with modern data engineering stack: dbt, Airflow, Databricks or other relevant technologies
2-3 years of hands-on SQL knowledge.
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 6 and day 54.
From 10,764 similar postings that came down. Coming down is not always a hire.
5 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.
- 2-3 years of hands-on SQL knowledge. - at least 1-2 year of experience with Python - Proven track record of working with Pandas and/or pySpark
- 2–3 years of relevant experience in data, ETL, data migration, or a similar role - 2-3 years of hands-on SQL knowledge. - at least 1-2 year of experience with Python
- Multinational company experience - Experience with modern data engineering stack: dbt, Airflow, Databricks or other relevant technologies Working model
- Hands on experience with current AI chat and coding tools - Advanced Excel skills - Good communication skills in English, both written and spoken.
- Supporting data migration activities across various systems and platforms - Providing operational support within the Snowflake environment - Documenting and tracking work handed over
Nice to have - Experience with Snowflake / Dataiku / Impala / db2. - Multinational company experience
- at least 1-2 year of experience with Python - Proven track record of working with Pandas and/or pySpark - Hands on experience with current AI chat and coding tools
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 Medior Data Pipeline Engineer job there since August 2026. It came down after 57 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.
Responsibilities
Requirements
Nice to have
Working model
Additional information
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!
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Budapest, Hungary
Working model - Hybrid working model: 3 days on-site and 2 days working from home each week. - Once every two weeks, you will work adjusted hours aligned with the New York time zone to support business operations.
No clear work-authorization passage found. Eligibility is unconfirmed.