Hybrid Data Architect: Scalable Data Solutions & AI

News UK; City of Westminster; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid work model

Diversity & inclusion initiatives

Job summary

News UK in London is expanding its data team to support AI-driven product growth across brands. You will lead the design and delivery of scalable data solutions, shaping data strategy and ensuring high performance and cost efficiency while mentoring distributed engineers.

The role partners with BI, advertising and newsroom colleagues to translate complex business needs into robust data architectures, data flows, APIs, and data marts for BI tools like Tableau and Looker, with BigQuery and GCP at

Qualifications

• Proven experience leading data platforms and analytics teams.
• Strong ability translating business requirements into scalable data solutions.
• Experience with BigQuery, GCP, SQL and data modelling techniques.

Responsibilities

• Oversee design and implementation of scalable data solutions.
• Lead hands-on development and prototyping while mentoring teams.
• Collaborate with BI, advertising and newsroom to translate requirements into solutions.
• Maintain data architecture standards across data modelling and quality.
• Design data flows, APIs, data marts for BI tools and CDP/DMP activations.

Skills

Leadership

Data strategy

Stakeholder management

Communication

Mentoring

Agile teams

Data architecture

Tools

Tableau

Looker

BigQuery

GCP

CDP/DMPs

APIs

SQL

Stored procedures

Data modelling

Job description

News UK in London is expanding its data team to support AI-driven product growth across brands. You will lead the design and delivery of scalable data solutions, shaping data strategy and ensuring high performance and cost efficiency while mentoring distributed engineers.

The role partners with BI, advertising and newsroom colleagues to translate complex business needs into robust data architectures, data flows, APIs, and data marts for BI tools like Tableau and Looker, with BigQuery and GCP at