Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Architect & Data Lead

Boston Hale
Bristol
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Architect...

Lead Data Architect...

Data Architect (Lead and Principle)

Lead Data Architect

Lead Data Architect

Lead Data Architect

We are partnering with a forward-thinking organisation undergoing a transformative ERP implementation, and we're seeking an exceptional Data Lead to deliver this critical initiative, and build an AI future-proofed Data Infrastructure. This is your chance to play a key role in shaping their analytics and reporting capabilities, ensuring their data architecture supports business growth and innovation.

The Role:As the Data Lead, you will spearhead the design and delivery of a robust data architecture to support the new ERP system and its integrations. You will also be working with 3rd parties and internal specialists to prepare the environment for the use of AI.

You'll lead the implementation of advanced ETL/ELT processes to seamlessly integrate data into a high-performing Snowflake environment. Leveraging your expertise, you will architect a scalable and user-friendly data warehouse, optimizing it for performance and analytics.

Collaboration is at the heart of this role. You'll work closely with business users to understand their needs, translating complex requirements into actionable, efficient solutions. Additionally, you'll oversee third-party providers, ensuring cost-effective technology services aligned with organizational goals.

What You Bring:Our client is looking for an experienced professional with:

  • Expertise in ETL/ELT tools and hands-on experience with SQL Server and Snowflake.

A strong understanding of the Kimball methodology to support analytics and reporting.

A proven track record of data migration and mapping business logic to new sources.

Proficiency in Power BI and delivering solutions based on business requirements.

Preferred Skills:Experience with ERP systems, familiarity with the MS BI stack, and exposure to manufacturing and supply chain environments will set you apart.

Why Join?This is a unique opportunity to make a lasting impact, working with senior stakeholders to deliver cutting-edge data solutions. If you're ready to take the next step in your career, we'd love to hear from you!

Diversity, equity and inclusion are at the heart of what we value as an organisation. Boston Hale is an equal opportunities employer, and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability or any other status protected by law.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.