Productivity Data Engineer & Strategist

Cisco Systems, Inc; London Borough of Hounslow; On-site; GBP 90,000 - 120,000; Full time

Job summary

Cisco Systems, Inc. seeks a data analytics professional within Cisco IT to advance data architecture, governance, and AI-enabled analytics across enterprise applications.

You will guide teams in building scalable data pipelines, ensuring privacy and security, and delivering actionable BI insights using Tableau, Power BI, and Snowflake. Collaborating with engineers and stakeholders in a global Agile environment, you will transform complex data into business outcomes, develop semantic models, and

Qualifications

• Experience in enterprise data modeling and data warehouses/lakes.
• Proficiency in Python, SQL, dbt, and Snowflake.
• Strong communication, planning, and execution skills.

Responsibilities

• Develop and implement data architecture for large datasets.
• Ensure data governance, quality, and GDPR compliance.
• Guide peers on databases and data lake sources, including security controls.
• Translate data into actionable insights using BI tools and dashboards.

Skills

Data modeling

Data pipelines

Governance & compliance

Communication & planning

RBAC/ABAC security basics

Education

Bachelor's degree in a relevant field

Master's degree in a related field

PhD in a related field

Tools

Python

SQL

dbt

Snowflake

Tableau

Power BI

Job description

Meet the Team

Join the Workforce Productivity Applications team within Cisco IT, where we support all third-party enterprise applications. Our team manages enterprise platforms while leveraging artificial intelligence and creativity to deliver best-in-class IT productivity solutions. We focus on reducing friction, increasing automation, and mitigating security risk in a dynamic, global Agile environment alongside innovative colleagues. Be part of an exciting role evolution from data scientist and machine learning engineer to AI engineer.

Your Impact

• Data Architecture:Develop and implement data architecture to store, process, analyze, and visualize large, high-volume datasets.
• Governance & Compliance:Establish and enforce data governance frameworks, data quality standards, and privacy compliance—including regional requirements such as GDPR and country-specific legislation such as workers councils.
• Technical Guidance:Guide technical peers on database and data lake sources, as well as security requirements such as RBAC/ABAC, row- and column-level security, masking/tokenization, key management, PII classification
• Insights & BI:Translate complex data structures into actionable insights using Business Intelligence and analytics tools such as Tableau or Power BI including building organization-wide dashboards for tracking measurements, usage and KPI’s for email, SaaS applications, and productivity suites.
• Collaboration:Collaborate with engineers and business stakeholders to understand, articulate, and resolve business problems, alongside related security and privacy concerns.
• AI-Enabled Analytics: Design semantic models and certified datasets that make natural-language and AI-assisted BI reliable - Power BI Copilot, Microsoft Fabric, Tableau Agent/Pulse or Snowflake Cortex - including the measure definitions, field descriptions, and synonyms these tools depend on to return trustworthy answers.

Minimum Qualifications

• Education & Experience:Bachelor’s degree with 7+ years of related experience, Master’s degree with 4+ years of related experience, or Ph.D. with 1+ year of related experience.
• Data Modeling:Proven capability in enterprise data modeling (dimensional, relational, and NoSQL) and the design of robust data warehouses and data lakes.
• Technical Proficiency:Proficiency in core programming and querying languages essential for data orchestration and analytics, primarily Python, SQL, dbt, and Snowflake.
• Core Competencies:Excellent communication and strategic planning skills, combined with a self-motivated approach and a strong focus on execution.
• Data Pipelines:Demonstrated ability to ensure data quality while creating and maintaining optimal data pipelines.

Preferred Qualifications

• Advanced Pipeline Engineering:Advanced expertise in designing, building, and optimizing scalable data pipelines, ETL/ELT workflows, and distributed data processing frameworks.
• Reporting & Visualization:Experience designing and creating reporting and visualization solutions to communicate data insights and directly link data to business outcomes.
• Hands-on experience enabling and tuning natural-language/AI features in a BI platform (e.g., Power BI Copilot, Tableau Agent, Snowflake Cortex Analyst), including the semantic-model preparation required for accurate results.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.