Senior Data Engineer

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 where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast.

We are looking for a highly skilled Senior Data Engineer to become part of our core Enterprise Data Engineering team. You will be a senior member of the larger AI, Data and Innovation organization, responsible for designing and expanding enterprise-level data infrastructure that enables ZoomInfo's internal teams to interact with data comprehensively.

The ideal candidate has a strong background in big data processing, pipeline orchestration, and data modeling, with a proven track record of delivering scalable and high-quality data solutions in fast-paced, data-centric product environments. Given the dynamic nature of emerging technologies, this role requires an individual who excels at exploration and embraces continuous learning as core responsibilities. You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry-leading LLM-powered systems.

This role also carries production ownership: you will share on-call responsibility for the pipelines and platforms you build, and you're comfortable triaging, escalating, and driving incidents to resolution under pressure.

What you'll do:

• Design, develop, and maintain high-performance, product-centric data pipelines using Airflow, DBT, and Python.
• Architect and optimize the massive-scale data warehouse and lakehouse that serves as our single source of truth for all customer data, primarily using Snowflake.
• Lead the integration of diverse structured and unstructured data sources (e.g., web data, third-party APIs) into our data ecosystem, ensuring high-quality and reliable ingestion.
• Define roadmap priorities that anticipate internal consumer needs and drive competitive advantage in data and AI capabilities.
• Serve as a trusted advisor to leadership on strategy, AI-readiness, and data infrastructure investment decisions.
• Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions that directly enhance customer value.
• Define, monitor, and enforce data quality SLAs across all pipelines and products, ensuring data accuracy and lineage are a top priority.
• Participate in a shared PagerDuty on-call rotation, responding to pipeline and platform incidents, performing root-cause analysis, and driving remediation and postmortems.
• Triage production issues quickly and escalation appropriately, knowing when to loop in engineering leadership, Platform engineers, adjacent teams, or business stakeholders based on severity, blast radius, and customer impact.
• Operate effectively amid ambiguity by making sound judgment calls and iterating with stakeholders rather than waiting for perfect clarity.
• Mentor and coach junior engineers, promoting best practices in code quality, data architecture, incident response, and operational excellence.
• Participate in architectural