or apply directly on BEES's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 6 days BEES's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- No 0% of BEES's roles list one
- Ghost-job risk at BEES
- high 20 stale, 3 reposted of 49 open
- Hiring momentum
- 82 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from BEES's own greenhouse board since 2026-08-03. Full hiring picture for BEES.
About this role
In this role, you will lead a team of data engineers focused on delivering safety solutions for BEES. Your responsibilities will include partnering with customer teams to identify opportunities, developing data pipeline architectures, and optimizing system performance. You will also be involved in recruiting and mentoring engineers while driving architectural decisions and engineering standards.
- benefits
- 5/5
- freshness
- 5/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of BEES as an employer.
What you need
- Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar
- Advanced English
- Design and develop data pipeline architectures for advanced analytics, machine learning, and real-time data processing
- Innovate techniques to optimize data pipeline performance, efficiency, and reliability
- Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud
- Analyze design requirements and constraints to identify optimal solutions for data and software architecture
Nice to have
- Significant experience building and operating critical high-scale systems
- Good software engineering methodology: meaningful and deeply rooted opinions about testing and code quality, ability to make sound quality/speed trade-offs
- Understand principles and assumptions of different machine learning capabilities
What you get
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
Worth weighing
- No salary listed
- Performance-based bonuses and other benefits have rules applied, which may affect eligibility
- Role involves significant leadership responsibilities, which may require a strong commitment to team development
Summarised from BEES's posting. Read the full original.
Listed by BEES on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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