Senior Data Engineer - Enterprise Data & AI Platform

Zoominfo; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

ZoomInfo is seeking a Senior Data Engineer to join our Enterprise Data Engineering team. You will design and expand enterprise-scale data infrastructure supporting internal teams across AI, data, and applications.

The ideal candidate brings strong experience with big data processing, pipeline orchestration, and data modeling. You will own production pipelines, participate in on-call rotations, and collaborate with ML engineers, data scientists, and product managers to deliver scalable data

Qualifications

• Experience designing and maintaining data pipelines with Airflow, DBT, and Python.
• Experience building enterprise data warehouses/lakehouses using Snowflake.
• Ability to integrate diverse data sources (structured and unstructured) via APIs and web data.
• Strategic thinker able to define roadmaps and advise leadership on data initiatives.
• Willingness to own production on-call incidents and drive remediation.

Responsibilities

• Design, develop, and maintain high-performance data pipelines.
• Architect and optimize the data warehouse/lakehouse with Snowflake.
• Lead integration of diverse data sources (structured and unstructured) via APIs and web data.
• Define roadmap priorities to anticipate internal consumer needs and competitive advantage.
• Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions.
• Monitor data quality SLAs and ensure data lineage across pipelines and products.
• Participate in on-call rotation, incident response, root-cause analysis and postmortems.
• Mentor junior engineers and promote best practices in data architecture and incident response.

Skills

Airflow

DBT

Python

Snowflake

Data pipelines

Data modeling

On-call ownership

Tools

Snowflake

PagerDuty

Job description

ZoomInfo is seeking a Senior Data Engineer to join our Enterprise Data Engineering team. You will design and expand enterprise-scale data infrastructure supporting internal teams across AI, data, and applications.

The ideal candidate brings strong experience with big data processing, pipeline orchestration, and data modeling. You will own production pipelines, participate in on-call rotations, and collaborate with ML engineers, data scientists, and product managers to deliver scalable data