Data Platform Lead

🕒 July 15

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 64%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Newsquest Media Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📣 Marketing

📱 Media

Marketing • Media • Advertising

Newsquest Media Group is a media company committed to providing authoritative news and digital marketing solutions tailored for local communities. With a diverse portfolio of over 250 local news brands and magazines, they serve 41 million digital users monthly and 7 million print readers weekly. Their dedicated team of journalists and sales professionals focus on fostering community engagement through reliable journalism and effective advertising strategies, ensuring local businesses can thrive through data-driven decisions.

📋 Description

• Lead the modernisation and transformation of Newsquest's data platform and supporting architecture • Define and deliver a roadmap for data migration, integration, governance, reporting and analytics capabilities • Lead implementation of a modern data platform, including a data warehouse, data lake, lakehouse or equivalent cloud-based solution • Work with business stakeholders to understand requirements and translate them into practical data solutions • Collaborate with IT teams, data engineers, system owners and third-party suppliers • Manage programme plans, budgets, risks, dependencies and resources across multiple workstreams • Establish and embed data governance, ownership and quality standards • Lead and support internal data engineering resources • Drive platform adoption and improve accessibility to trusted data • Oversee post-implementation stabilisation, optimisation and continuous improvement • Identify opportunities to enhance reporting, analytics, automation and data-driven decision-making

🎯 Requirements

• Proven experience leading the implementation, migration or modernisation of an enterprise-scale data platform • Demonstrable experience delivering a data warehouse, data lake, lakehouse or modern cloud-based data platform within a medium or large organisation • Strong understanding of data architecture, data integration, governance, security and data management best practices • Experience successfully delivering complex data transformation programmes from discovery and design through to implementation, stabilisation and optimisation • Strong programme and project management skills, including planning, stakeholder management, risk management and resource coordination • Experience working within multi-site organisations with diverse stakeholders, systems and data requirements • Ability to build strong relationships with senior stakeholders and translate business requirements into effective technical solutions • Experience collaborating with IT teams, engineers, suppliers and business leaders to deliver business-critical change • Knowledge of modern data platforms and technologies such as Microsoft Fabric, Azure Data Platform, Snowflake, BigQuery or similar • Excellent communication skills, with the ability to influence and engage both technical and non-technical audiences • A pragmatic, delivery-focused approach with the ability to balance strategic thinking with hands-on programme leadership • Desirable: Experience within publishing, media, digital, subscription or customer-focused organisations • Desirable: Experience developing and implementing data governance frameworks and operating models • Desirable: Knowledge of Power BI or other modern business intelligence platforms • Desirable: Understanding of AI, machine learning and advanced analytics capabilities • Desirable: Experience leading teams within data engineering, analytics or platform functions

🏖️ Benefits

• Competitive salary • 25 days holiday + bank holidays + your birthday off • Holiday buy scheme for extra flexibility • Structured career progression & ongoing training • Pension plan • Employee Helpline counselling and advice • Gym membership • Cycle to Work scheme • Eye care • Retail discounts • Team building days • Annual volunteer charity day