Senior Data Engineer
GoogleJobsCloseBy Editorial Insights
Google is seeking a Senior Data Engineer for the Merchant Data Science team in Zurich to build scalable data products that empower data driven decisions and bridge software engineering, data engineering, and data science. You will own end to end data products from concept to impact, scale automated pipelines, and advance data infrastructure with automated validation and reliability monitoring. Required: a bachelor’s degree or equivalent, 5+ years designing data pipelines and dimensional modeling for synch and asynch integration, 5+ years programming, and 5+ years working with data infrastructure and exploratory queries. Preferred: experience with BI tools, project planning and stakeholder management, and ML in production. Pay ranges US$156k–$227k plus 15% bonus, equity, and benefits; onsite in Zurich. To apply, tailor your resume to highlight end to end delivery, cross functional collaboration, quantified impact, and readiness for on site work.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
- 5 years of experience coding in one or more programming languages.
- 5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
Preferred qualifications:
- 5 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.
- 3 years of experience developing project plans and delivering projects on time within budget and scope.
- 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
- Experience with Machine Learning for production workflows.
About the job
The Merchant Data Science team is a group within the Merchant Shopping Organization. We work on building scalable data products that empower data-driven decision-making.In this role, you will innovate and build durable, impactful data products. You will bridge the gap between software engineering, data engineering, and data science.
As a Data Engineer in the Merchant Shopping organization, you will build data products and foundations to improve Google's Shopping products. You will collaborate with a multidisciplinary team of data scientists, engineers, and PMs on a wide range of problems. You will bring an undertanding of data, logging, and engineering. You will solve non-routine problems, build reliable data products used across the organization, and drive impact on cross-functional projects.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $156000 - $227000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Identify the underlying need, process datasets, and apply advanced data engineering, data modleing, and architectural frameworks when needed.
- Design, build, and scale innovative data products, including self-serve tools, and automated pipelines.
- Advance data infrastructure, product quality, and foundational understanding through automated validation frameworks, data quality, and reliability monitoring.
- Operate with a high degree of autonomy, owning data engineering projects from initial conception to landing and impact.
- Advocate impactful data products while contributing to a team culture that values engineering excellence, robust data, and sharp communication.