Data Architect

The Engage Partnership Recruitment
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect - Security Cleared

Data Architect

Data Architect

Data Architect Financial Crime

Job Title:Data Architect

Contract:6 months

Rate:£550 - £650 per day Outside IR35 (depending on experience)

Location:Remote, but preference for candidates who can do hybrid (2 days per week onsite in Central London).


About the Role

We are seeking an experienced Data Architect to play a key role in a large-scale global transformation project. The company is moving to a Microsoft-based suite, including Microsoft Dataverse, and requires a strong technical leader to design and implement its future-state data architecture.


This role involves integrating 6-7 key business systems - including marketing, sales, ERP, websites, and user management platforms - into a unified data model. The Data Architect will collaborate with stakeholders across the organisation to enhance data accuracy, consistency, and accessibility while ensuring scalability and compliance.


Key Responsibilities

  • Develop and implement a high-level data architecture aligned with the organisation’s global transformation strategy.
  • Integrate and model data from multiple systems (marketing, sales, ERP, website, and user management) into a single, optimised structure.
  • Work closely with cross-functional teams (marketing, sales, finance, IT) to ensure data accuracy, consistency, and accessibility.
  • Drive the transition to a Microsoft-based ecosystem, leveraging Microsoft Dataverse and other relevant technologies.
  • Define and implement best practices for data modeling, warehousing, and future scalability.
  • Ensure data governance, security, and compliance across all integrated systems.


Essential Skills & Experience

  • Proven experience as a Data Architect or in a similar high-level data modeling role.
  • Expertise in data integration and transformation, particularly with marketing, sales, ERP, and web data.
  • Strong understanding of Microsoft Dataverse and cloud-based data architectures.
  • Experience working with CRM and ERP systems in a large-scale business transformation.
  • Ability to design and implement future-state data models for enhanced customer experience.
  • Strong analytical skills with a strategic focus on data-driven decision-making.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.