Productivity Data Engineer & Strategist

624 Cisco International Limited; London Borough of Hounslow; Vor Ort; GBP 90.000 - 130.000; Vollzeit

Zusammenfassung

Cisco is seeking an experienced data architecture professional to design and implement scalable data warehouses and lakes, enforce governance and privacy standards, and guide teams on best practices for data security. You will enable AI-assisted BI using tools like Power BI, Tableau, Snowflake, and dbt.

Role requires strong communication, strategic planning, and a track record of delivering robust data pipelines in a global, agile environment.

Qualifikationen

• Bachelor’s degree with 7+ years of related experience, Master’s with 4+ years, or Ph.D. with 1+ year.
• Data modeling: enterprise data modeling and robust data warehouses/lakes.
• Technical proficiency in Python, SQL, dbt, Snowflake.

Aufgaben

• Develop and implement data architecture to store, process, analyze, and visualize large datasets.
• Establish governance frameworks, data quality standards, and privacy compliance incl. GDPR.
• Guide peers on databases, data lakes, and security requirements (RBAC/ABAC, masking, key management).
• Translate data structures into insights using BI tools (Tableau, Power BI) and build organization dashboards.
• Collaborate with engineers and stakeholders to resolve business problems with security/privacy in mind.
• Design semantic models and certified datasets to support AI-enabled BI (Power BI Copilot, Snowflake Cortex).

Kenntnisse

Data modeling

Data governance

Data pipelines

Python

SQL

Communication

Ausbildung

Bachelor’s degree in related field

Master’s degree in related field

Ph.D. in related field

Tools

dbt

Snowflake

Power BI

Tableau

Jobbeschreibung

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. Cisconians power the future. We make impact as a team, innovating fast and fearlessly to create meaningful solutions on a large scale. The depth and breadth of our technology doesn't just benefit our customers – it also means limitless opportunities for us to experiment and learn. We understand the power each of our unique backgrounds bring when we work together. Because of that, we have a global network of thinkers, doers, experts, and curious creators who help one another do their life’s best work.