Productivity Data Engineer & Strategist
Feltham, United Kingdom
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDevelop data architecture to store, process, analyze and visualize large datasets
Establish data governance, data quality standards and privacy compliance, including GDPR
Build organization-wide dashboards tracking KPIs for email, SaaS and productivity suites
Design semantic models and certified datasets for natural-language BI tools
Guide technical peers on database, data lake and security requirements
From the employer’s posting
Develop and implement data architecture to store, process, analyze, and visualize large, high-volume datasets.
Establish and enforce data governance frameworks, data quality standards, and privacy compliance
including building organization-wide dashboards for tracking measurements, usage and KPI’s for email, SaaS applications, and productivity suites.
Design semantic models and certified datasets that make natural-language and AI-assisted BI reliable
Guide technical peers on database and data lake sources, as well as security requirements
What you’ll bring
All qualificationsCore experience
- Data Modeling: Proven capability in enterprise data modeling (dimensional, relational, and NoSQL) and the design of robust data warehouses and data lakes.
- 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.
Qualification wording
Data Modeling: Proven capability in enterprise data modeling (dimensional, relational, and NoSQL) and the design of robust data warehouses and data lakes.
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.
Education & alternatives
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.
Tools in this posting
- Python
- SQL
- dbt
- NoSQL
- Power BI
- Snowflake
- Tableau
Source — Tool mentions in context
- 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.
- 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.
- 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.
- 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
- 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?
Posting record
Report an errorActively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 19, 2026 · 10 days ago
- Recorded sightings
- 40
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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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.
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Feltham, United Kingdom
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