Back to jobs

Medior Data Pipeline Engineer

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll bring

All qualifications

Core experience

  • 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.
Qualification wording
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.
Apply at Hiflylabs

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 23, 202612 days ago
Recorded sightings
15
Last seen by us
Nov 4, 2026
Reposted
once since Aug 26, 2026

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.

How this job compares

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.

Hiflylabs is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down at a usual pace
  • 100% of open jobs were reposted
Hiring record

See how this role fits your experience

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.

  • Python
  • SQL
  • Databricks
  • dbt
  • Excel
  • Snowflake
  • Airflow
  • PySpark
Where the posting names them
- 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

Your next step

Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.

Applying through SmartRecruiters

  • Uploading your resume fills in the application form for you, so check what it filled before you send.

Already applied? Track this application

Has Hiflylabs posted this job before?

Yes. We’ve followed one other Medior Data Pipeline Engineer job there since August 2026. It came down after 57 days.

  1. BudapestCame down after 57 days, first seen Aug 26
  2. This jobUp 13 days so far, first seen Oct 23

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

Job Description

Responsibilities

  • Managing and migrating ETL pipelines between various source systems
  • Validating pipeline build success and output data quality
  • Communicating with business stakeholders and SME's regarding their respective data domain
  • Analysing and resolving any blockers/issues with the ETL pipelines and data discrepancies Working closely with the other team members to ensure best practices and know-hows are kept up to date
  • Supporting data migration activities across various systems and platforms
  • Providing operational support within the Snowflake environment
  • Documenting and tracking work handed over

Qualifications

Requirements

  • 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
  • Proven track record of working with Pandas and/or pySpark
  • Hands on experience with current AI chat and coding tools
  • Advanced Excel skills
  • Good communication skills in English, both written and spoken.
  • Strong analytical and problem-solving skills.
  • A proactive mindset with a focus on continuous improvement.
  • Ability to manage multiple priorities and switch effectively between tasks.

Nice to have

  • Experience with Snowflake / Dataiku / Impala / db2.
  • Multinational company experience
  • Experience with modern data engineering stack: dbt, Airflow, Databricks or other relevant technologies

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.

Additional Information

Additional information

  • Diverse projects - In each assignment, there is always something new, either on the technical or the business side, that helps you grow.
  • Empowerment - Trust is a cornerstone of our culture. We'll hold your hand if you need it, but give you space if you’d like to push your limits. Don't lose sight of the goal, the rest is up to you. 
  • Flexible ways of working – We love our location on Bartók Béla Road which is not only an office but also a community space. However, we respect our people to do their work when and how they work best. 
  • Balanced life - We love what we do and aim to work together with others who do their work with love. At the same time, we highly value fresh minds, for which we think a healthy work/life balance is essential! Forget about pointless meetings and unnecessary administration.
  • Mentoring from your first day – Continuous support is not just a set of fancy words we throw around here; your mentor follows you throughout your career path.
  • Learning & Development opportunities - If you want to keep learning and improving, we are on to a great track! We look forward to helping you unlock your potential.
  • Supportive corporate culture - In addition to our professional success, we are proud of the social cohesion that is based on comradery, mutual support, and respect and is constantly nurtured in the company.

Company 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!

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

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.
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.