Data Architect

Quantum; London; Hybrid; NOK 1,148,000 - 1,531,000; Full time

Benefits offered by this job

Private Health Care (Bupa)

Hybrid Working (3 days in office)

Travel Insurance

Competitive Base Salary

Company Bonus Scheme

AI Subscription (Claude / ChatGPT /Gem

Market-Leading Training Programme

Recognition & Reward Scheme

Annual Company Conference

Happy Hours & Team Lunches

Coffee, Drinks & Snacks

Job summary

Quantum in London is seeking a Data Architect to define design principles for its data platform and ensure every build aligns with them. You will own the QiCore data warehouse architecture and oversee integration of acquired businesses.

In this hands-on role you will write SQL and Python, set governance and data-quality standards, and mentor a small team of data engineers while partnering with Tech, Analytics and commercial teams to ready the platform for AI initiatives.

Qualifications

• Proven enterprise or data architecture experience; production-ready warehouse/lakehouse design.
• Hands-on data engineering: SQL and Python; able to build and debug pipelines.
• Strong understanding of PII, data privacy, access control and governance.

Responsibilities

• Own the target architecture for QiCore and act as design authority for every build.
• Establish approaches to identity, consent, data classification, retention and access controls with security/governance stakeholders.
• Lead migration of Rewards into the warehouse and single customer view; create repeatable patterns for acquisitions.
• Define data modelling, governance and quality standards; review work before shipping.
• Stay hands-on: prototype pipelines and mentor a small data-engineer team.

Skills

Enterprise data architecture

SQL

Python

PII governance

Data privacy

Data governance

Consolidating acquisitions

Quality standards

Teamwork & communication

English proficiency

Humility / ego-free

Job description

Our Company At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity.

Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world’s most used digital comparison service, delivering value and simplicity to millions.

We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale.

With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We’ve helped ambitious brands grow faster, smarter, and globally.

The Role

Our Data Engineering & AI team is growing! We’re looking for a Data Architect to join our team in London.

In this role you will set the design principles for our data platform and make sure everything we build lives up to them. You’ll own the architecture of QiCore, our new data warehouse, bring acquired businesses into it cleanly and lay the foundations our AI plans depend on.

Key Responsibilities

• Own the target architecture for QiCore and act as design authority for every build that lands in it

• Establish clear approaches to customer identity, PII, consent, data classification, retention and access controls, working with relevant security, privacy and governance stakeholders.

• Lead the migration of Rewards into our warehouse and single customer view, then turn it into a repeatable pattern for future acquisitions

• Define the modelling, governance and data quality standards our engineers build to, and review work against them before it ships

• Stay hands-on: prototype pipelines, unblock engineers on daily design questions and lead a small team of data engineers

• Translate business needs into data design with Tech, Analytics and commercial teams, so the platform is ready for our AI ambitions

About You

• Proven enterprise or data architecture experience, with a warehouse or lakehouse you designed running in production

• Hands-on data engineering: you still write SQL and Python, and can build and debug pipelines yourself

• Strong understanding of PII, data privacy, access control and governance, with experience designing solutions for both identifiable and anonymous/pseudonymous customer data

• Deep knowledge of big data platforms, ETL and ELT patterns, and data governance frameworks

• Experience consolidating acquired businesses or legacy platforms into a single data model

• High standards for quality, and the clarity to explain design trade-offs to engineers and non-technical stakeholders

• You thrive when working as part of a team

• Comfortable in a fast-paced environment

• Have excellent written and verbal English skills

• Last but not least, you’ll have no ego!

What You’ll Get

• Private Health Care (Bupa)

• Hybrid Working (3 days in office)

• Travel Insurance

• Competitive Base Salary

• Company Bonus Scheme

• Paid for AI Subscription (Claude / ChatGPT / Gemini)

• Market-Leading Training Programme

• Recognition & Reward Scheme

• Annual Company Conference

• Regular Happy Hours & Team Lunches

• Free Coffee, Drinks & Snacks