or apply directly on Easyship's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 22 days Easyship's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 4% of Easyship's roles list one
- Ghost-job risk at Easyship
- high 21 stale, 0 reposted of 28 open
- Hiring momentum
- 30 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 Easyship's own greenhouse board since 2026-08-03. Full hiring picture for Easyship.
About this role
As a Data Engineer at Easyship, you will be responsible for designing, building, and maintaining data pipelines, warehouses, and services within the Google Cloud Platform. Your role will involve optimizing data integrity and performance, implementing data transformations, and supporting machine learning workflows. You will collaborate closely with data analysts and scientists to deliver data-driven solutions that enhance the company's shipping analytics and insights.
- benefits
- 3/5
- freshness
- 4/5
- 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 Easyship as an employer.
What you need
- 3+ years of experience as a Data Engineer or in a similar role
- Strong proficiency in SQL
- Extensive experience with Google Cloud Platform (GCP), specifically BigQuery, Cloud Composer (Airflow), Dataform (DBT), Pub/Sub, and Cloud Functions
- Hands-on experience with data pipeline development and ETL processes
- Experience building data services/API infrastructure
- Clear communication and collaboration skills with analysts, data scientists, and cross-functional stakeholders
Nice to have
- Experience with MLOps workflows, including setting up pipelines for feature engineering, model training, deployment, and monitoring using cloud-based tools (e.g., Vertex AI, Kubeflow, or MLflow)
What you get
- Generous remuneration and stock units
- Comprehensive health coverage
- Reimbursement for gym and wellness expenses
- Zomato digital meal credits and pantry snacks
- Freedom to 'Work from Anywhere' for 4 weeks in a year
- Generous vacation policy, plus duvet days and mental health days
Worth weighing
- Full-time onsite role with UK working hours
- No salary listed
- Strong focus on AI and modern data stack tools
- Emphasis on collaboration with international teams
Summarised from Easyship's posting. Read the full original.
Listed by Easyship on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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