Data Architect

Castle Donington
2 months ago
Applications closed

Related Jobs

View all jobs

Data Architect - Security Cleared

Data Architect

Data Architect | Research Analytics

Data Architect

Data Architect

Data Architect (Hybrid) - Contract London, England, United Kingdom (Basé à London)

Are you an experienced Data Architect? Do you have previous experience delivering an organisations data strategy & designing and managing data architecture? Let Informed Recruitment help you to achieve your potential with an exciting opportunity for a permanent Data Architect to do exactly that and assist a Social enterprise to implement solutions in a complex technical environment, collaborate and share their data knowledge with stakeholders, and influence decision making at all levels.

The purpose of the role is to lead on the delivery of a data strategy by designing and managing an information architecture that ensures the integration of secure and accessible data. Your day-to-day activities will include collaborating with stakeholders to define data models, optimise data assets, and enforce data standards; designing and implementing scalable, secure, efficient data architecture, models, standards and frameworks; enabling seamless data integration across applications and systems; oversee compliance with regulatory requirements and data governance policies; support stakeholders with reporting, analytics, and decision making; lead data strategy related projects and improvement activities; line management of a small team; and collaborate closely with the Business Intelligence, Insight, Governance, Assurance, Cyber Security and Infrastructure teams.

Required

A successful commercial track-record in utilising Data Architecture/Data Engineering Principles, Frameworks, and Methodologies.
Experience of delivering data solutions in complex environments.
Experience of system integration and large-scale data migrations/ETL.
Firsthand technical experience with cloud platforms, data pipelines, data warehousing, and APIs.
Data Modelling experience, covering conceptual, logical, and physical models.
A specific background in supporting Advanced Analytics, Big Data, AI, and/or Machine Learning initiatives.
Nice to Have

Microsoft Cloud Data Technologies - SQL Server, Azure, Data Lake, Data Factory, Data Bricks, Fabric, Power Apps, Power BI.
Relevant certification, such as DAMA/CDMP, IBM, Microsoft Azure, BCS, TOGAF, or similar
Experience within Property, Real Estate or Housing environments.
As an individual you will be a self-starter with strong organisation skills, experience taking responsibility, and experienced at delivering to deadlines. You will be an excellent communicator, able to explain complex technical concepts to non-technical stakeholders and be comfortable engaging and influencing at all levels both with third party suppliers and at an executive level. You will also be mobile and prepared to travel to an office in Leicestershire 2/3 days per week on a hybrid working basis, with the rest of your time working from home. On offer is a competitive salary, flexible working, generous holiday allowance, private healthcare, and substantial contributory pension amongst other benefits. If this sounds like you, then please apply without delay to be part of a busy digital transformation with organisation adding an enormous amount of social value. Interviews slots are available t
Informed Recruitment Limited acts as an Employment Agency in respect to this vacancy as defined by the Employment Agencies Act. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, national origin, disability status, or any other basis protected by appropriate law. All hiring decisions are made based on merit, competence, and business need. As defined under the General Data Protection Regulation (GDPR), Informed Recruitment is a Data Controller and a Data Processor, and our legal basis for processing your personal data is 'Legitimate Interests'. You have the right to object to us processing your data in this way. For more information about this, your rights, and our approach to Data Protection and Privacy, please visit our website

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.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

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.