Time since we first saw it
Day 3
Early. Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
KDB Data Engineer
Location not stated
Actively hiring, first seen by us 3 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDevelop and maintain KDB+/q based data solutions and analytics
Build and enhance data pipelines, data models and reporting datasets
Analyse and process large-scale data sets
Investigate complex data issues and drive root-cause analysis
Support production applications and platform stability, performance and data quality
From the employer’s posting
develop and maintain KDB+/q based data solutions and analytics
build and enhance data pipelines, data models and reporting datasets
analyse and process large-scale data sets
investigate complex data issues and drive root-cause analysis
support production applications and contribute to platform stability, performance and data quality
What you’ll bring
All qualificationsCore experience
- Experience with KDB+/q
Qualification wording
develop and maintain KDB+/q based data solutions and analytics
Posting record
Report an errorActively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 10, 20263 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Oct 27, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
krb-sjobs:25008:5012 is hiring
18 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.
Your next step
Complete your application on jobs.ubs.com. The employer’s form will show what is required.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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
• develop and maintain KDB+/q based data solutions and analytics
• build and enhance data pipelines, data models and reporting datasets
• analyse and process large-scale data sets
• partner with business stakeholders to understand requirements and deliver effective solutions
• investigate complex data issues and drive root-cause analysis
• support production applications and contribute to platform stability, performance and data quality
• collaborate with engineering teams to improve and modernize the broader data platform
• build and enhance data pipelines, data models and reporting datasets
• analyse and process large-scale data sets
• partner with business stakeholders to understand requirements and deliver effective solutions
• investigate complex data issues and drive root-cause analysis
• support production applications and contribute to platform stability, performance and data quality
• collaborate with engineering teams to improve and modernize the broader data platform
Source details
Source notes
Source excerptsSelected 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
Location not supplied.
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.