Business intelligence developer Work, Jobs in Loscoe, Dby (with Salaries)

Data and AI Developer
Capital One —Nottingham
- Full-time
- AWS
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Business Analyst
London Stock Exchange Group —Nottingham
- Full-time
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- APIs
- Agile
Power Apps Developer (Power BI specialism)
Methods Business and Digital Technology —Sheffield
- £60,000 - £70,000 a year
- Full-time
- Hybrid work
- SQL
- Travel
- SharePoint
- Annual leave
- Employee assistance programme
Quick apply
IoT Engineer
Wabtec —Derby
- 8 hour shift
- Computer Science
- Agile
Quick apply
Product Marketing Manager
Commify —Nottingham
- Hybrid work
- Analysis skills
- APIs
- Communication skills
- Annual leave
Quick apply
Director, Engineering DI&F
London Stock Exchange Group —Nottingham
- Full-time
- Azure
- Java
- AWS
Lead DevOps Engineer
London Stock Exchange Group —Nottingham
- Full-time
- DevOps
- Java
- AWS
Design Support Engineer (Electrical)
Hemiko —Sheffield
- £37,000 - £51,000 a year
- Full-time
- Hybrid work
- Microsoft Powerpoint
- AutoCAD
- Microsoft Excel
Quick apply

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Data and AI Developer

Capital One -
Nottingham

Apply Now

Job details

Full-time
3 days ago

Benefits

On-site gym

Qualifications

Cloud infrastructure
Business processes
AWS
Data management
AI
Communication skills

Full job description

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire

Data and AI Developer

About the Role

Data is at the heart of everything we do. We operate a multitude of systems that store, process and use data to support our operations, analytics and reporting, all driving us towards our business goals of helping our customers and associates succeed. Ensuring we have a thorough understanding and robust management of the data the UK business creates and uses is crucial. This is essential to ensuring our business is well managed, giving users ultimate confidence that the data they are using is available and of the highest quality.

We are seeking an energetic and forward-thinking individual to join us to help build, deliver, improve and lead on data management across the business. In this role, you will work on a variety of strategic and technical activities to solve complex problems, drive technical convergence, and safely operationalise Artificial Intelligence (AI) frameworks to unlock the power of data through excellent data management.

What You'll Do

With a permanent high focus on data management and modern tech initiatives, you will support the UK business and wider Enterprise across two core transformative pillars:

AI in Data Management & Strategy

Team Capability & Collaboration: Help create an AI-literate Data Management team, understanding AI tooling risks and benefits, whilst collaborating with broader analytics teams to champion key data considerations.
Frameworks & Governance: Identify key data management principles to enable safe, scaled AI, and evolve our frameworks to meet changing AI and regulatory needs.
Operationalise & Unlock Value: Drive and implement AI within the Data Management Team (DMT), leading the thinking on near-term value unlocks that enable end-users to self-serve through AI.
Strategic Alignment: Understand and plan for advances in Enterprise AI Data Management Strategy, advising on how the UK business should be structured to align.

Technological Convergence & Core Infrastructure

Migration Leadership: Serve as a technical lead for convergence migration, covering data storage, definitions, lineage, quality, modelling, access and consumption.
End-to-End Coordination: Ensure critical migration factors are met, including setting up correct access profiles, migrating metadata/data quality rules, and setting up UK analytical teams for success.
Enterprise Integration & Roadmapping: Partner with Enterprise teams to plan migration sequencing and dependencies, whilst driving our broader data strategy by identifying industry maturity gaps.
Stakeholder Engagement & Risk: Collaborate with stakeholders to drive policy-compliant practices across the data lifecycle, executing data management assessments through 2nd and 3rd-line reviews.
Talent Development: Coach, nurture and develop associates across the business to ensure a thorough understanding of their data management responsibilities and the value behind them.

The Skills and Experience You Need

Core Skills & Capabilities

Critical Problem Solving: Ability to use critical thinking to resolve complex problems, acting as an owner to identify, document and manage data issues.
Influence & Communication: Strong judgment coupled with excellent communication and networking skills to influence stakeholders and drive meaningful business change.
User-Centric Solutioning: Capability to provide actionable advice and create solutions or communications that help end-users self-serve, access and navigate data.
Innovation & Advocacy: A track record of bringing new ideas and establishing new processes that support data strategy, whilst acting as an ambassador for the team.
Delivery & Leadership: Proven ability to manage structured business processes, nurture stakeholder relationships and successfully deliver large, value-add activities.

Technical Knowledge & Experience

Data & Risk Governance: A strong understanding of, or keen interest in, Data Management, Data Risk Management fundamentals and policy compliance frameworks.
AI & Innovation Guardrails: Understanding of AI technologies, skills and use cases, with the ability to apply AI to drive operational efficiencies using proper guardrails.
Cloud Infrastructure: Basic operational knowledge of Cloud data ecosystems, AWS infrastructure or modern analytical data warehouses.
Lifecycle Management: Experience with practices supporting the data management lifecycle, including registration, usage, quality, retention and external data sharing.
Assurance & Control: Experience executing data management assessments through control performance or engaging with 2nd and 3rd-line business reviews.

Where and how you'll work

This is a permanent position based in our Nottingham office .

We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days.

Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar.

Capital One is committed to diversity in the workplace.

If you require a reasonable adjustment, please contact [email protected] All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.

For technical support or questions about Capital One's recruiting process, please send an email to [email protected]

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Apply Now

Refine Your Search

business intelligence developer jobs in loscoe, dby

Data and AI Developer

Business Analyst

Power Apps Developer (Power BI specialism)

IoT Engineer

Product Marketing Manager

Director, Engineering DI&F

Lead DevOps Engineer

Design Support Engineer (Electrical)

Related jobs to explore

I want to receive the latest job alerts for business intelligence developer in loscoe, dby

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With a permanent high focus on data management and modern tech initiatives, you will support the UK business and wider Enterprise across two core transformative pillars:

Team Capability & Collaboration: Help create an AI-literate Data Management team, understanding AI tooling risks and benefits, whilst collaborating with broader analytics teams to champion key data considerations.

Frameworks & Governance: Identify key data management principles to enable safe, scaled AI, and evolve our frameworks to meet changing AI and regulatory needs.

Operationalise & Unlock Value: Drive and implement AI within the Data Management Team (DMT), leading the thinking on near-term value unlocks that enable end-users to self-serve through AI.

Strategic Alignment: Understand and plan for advances in Enterprise AI Data Management Strategy, advising on how the UK business should be structured to align.

Migration Leadership: Serve as a technical lead for convergence migration, covering data storage, definitions, lineage, quality, modelling, access and consumption.

End-to-End Coordination: Ensure critical migration factors are met, including setting up correct access profiles, migrating metadata/data quality rules, and setting up UK analytical teams for success.

Enterprise Integration & Roadmapping: Partner with Enterprise teams to plan migration sequencing and dependencies, whilst driving our broader data strategy by identifying industry maturity gaps.

Stakeholder Engagement & Risk: Collaborate with stakeholders to drive policy-compliant practices across the data lifecycle, executing data management assessments through 2nd and 3rd-line reviews.

Talent Development: Coach, nurture and develop associates across the business to ensure a thorough understanding of their data management responsibilities and the value behind them.

Critical Problem Solving: Ability to use critical thinking to resolve complex problems, acting as an owner to identify, document and manage data issues.

Influence & Communication: Strong judgment coupled with excellent communication and networking skills to influence stakeholders and drive meaningful business change.

User-Centric Solutioning: Capability to provide actionable advice and create solutions or communications that help end-users self-serve, access and navigate data.

Innovation & Advocacy: A track record of bringing new ideas and establishing new processes that support data strategy, whilst acting as an ambassador for the team.

Delivery & Leadership: Proven ability to manage structured business processes, nurture stakeholder relationships and successfully deliver large, value-add activities.

Data & Risk Governance: A strong understanding of, or keen interest in, Data Management, Data Risk Management fundamentals and policy compliance frameworks.

AI & Innovation Guardrails: Understanding of AI technologies, skills and use cases, with the ability to apply AI to drive operational efficiencies using proper guardrails.

Cloud Infrastructure: Basic operational knowledge of Cloud data ecosystems, AWS infrastructure or modern analytical data warehouses.

Lifecycle Management: Experience with practices supporting the data management lifecycle, including registration, usage, quality, retention and external data sharing.

Assurance & Control: Experience executing data management assessments through control performance or engaging with 2nd and 3rd-line business reviews.

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