or apply directly on Monks's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 98 days Monks's roles stay open a median of 102 days
- Reposted
- No
- Salary listed
- No 1% of Monks's roles list one
- Ghost-job risk at Monks
- high 362 stale, 18 reposted of 362 open
- Hiring momentum
- 125 roles opened in the last 90 days ↓ down vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-11-14
Measured from postings appearing on and disappearing from Monks's own greenhouse board since 2026-08-03. Full hiring picture for Monks.
About this role
As a Senior Data Engineer at Monks, you will design, build, and maintain scalable data solutions tailored for digital marketing and advertising. Your responsibilities include developing robust data pipelines, ensuring data quality, and collaborating with analytics teams to support various reporting and measurement workflows. You will also work with cloud infrastructure and tools to manage data ingestion and transformation processes.
- benefits
- 1/5
- freshness
- 1/5
- 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 Monks as an employer.
What you need
- Bachelor’s or Master’s degree in informative engineering, computer science, applied mathematics, engineering, or a related quantitative field—or equivalent work experience
- 4+ years of experience with analytics, marketing analytics, and analytical techniques
- Hands-on experience with SQL and Python
- Experience using cloud products
- Hands-on experience developing data pipelines using common ETL/ELT tools
- Familiarity with Agile methodologies and applying DataOps practices
Nice to have
- Experience working with media/advertising data
- Looker and LookML knowledge
- JavaScript knowledge
- Knowledge of media reporting UIs / APIs (e.g., DV360, SA360, Meta)
Worth weighing
- No salary listed
- Role involves working with legacy ingestion patterns and migrating to scalable solutions
- The position requires a strong focus on data quality and reconciliation across heterogeneous datasets
- The job emphasizes collaboration with multiple teams, which may require strong communication skills
Summarised from Monks's posting. Read the full original.
Listed by Monks on their greenhouse job board, last confirmed open on 2026-11-14. PitchMeAI is not the employer.
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