DV Cleared Data Architect

IO Associates
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - DV Cleared

Platform Engineer

Senior 3rd Line Infrastructure Engineer

Senior Data Engineer

Application Developer-2

Data Engineer

Job Title:DV Cleared Data Architect

Clearance: DV Clearance is a must (Used within the last 12 months)

Location:4 days on-site (London)

Job Type:Contract

Duration:12 monthinitial (likely extension)

Ir35: Inside

Rate: £700.00 - £750.00 pd

About Us:Leading defence organisation dedicated to safeguarding our nation's security. Our mission is to provide innovative solutions to complex defence challenges, ensuring the safety and effectiveness of our armed forces. We are seeking a highly skilled and motivated Data Architect to join our dynamic team and play a crucial role in shaping our data strategy and infrastructure.

Key Responsibilities:

  • Data Strategy Development:Develop and implement data architecture strategies that align with organisational goals and defence requirements.

  • Data Modelling:Design and optimise data models to support complex defence-related data systems and applications.

  • Data Integration:Collaborate with cross-functional teams to ensure seamless integration of data across various defence systems and platforms.

  • Data Security:Ensure robust data security measures are in place to protect sensitive defence information from cyber threats.

  • Data Governance:Establish and enforce data governance policies and standards to maintain data quality, integrity, and compliance with regulatory requirements.

  • Technology Evaluation:Assess and recommend data management tools, technologies, and best practices to enhance data architecture within the defence sector.

  • Performance Optimisation:Monitor and optimise the performance of data systems, ensuring efficient data storage, retrieval, and processing.

  • Technical Leadership:Provide technical leadership and mentorship to junior data architects and data engineers within the organisation.

#J-18808-Ljbffr

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.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.