Senior Analytics Engineer, QuantSpark
+ EMI Share Options scheme
More information about location
2-3 days a week in office
QuantSpark is revolutionising how data and AI serve society
Open for applications
QuantSpark is revolutionising how data and AI serve society
21-100 employees
Open for applications
+ EMI Share Options scheme
More information about location
2-3 days a week in office
21-100 employees
Company mission
Strategy consultancy meets product studio: We build AI-powered tools that turn data into decisive competitive advantage.
Role
Who you are
- 5+ years of experience in analytics engineering, data engineering, or similar roles with substantial experience building production data pipelines
- Python skills (NumPy, Pandas, SQL Alchemy) and expert-level SQL across multiple database platforms
- Hands-on experience with modern data stack tools including dbt, Airflow, and cloud data warehouses (Snowflake, BigQuery, Redshift)
- Strong understanding of data modelling, schema design, and building maintainable ELT/ETL pipelines
- Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure-as-code practices
- Strong communication skills with ability to explain complex technical concepts to both technical and non-technical stakeholders
- Experience working directly with internal or external stakeholders to gather requirements and present solutions
- Strong project management skills with ability to balance multiple priorities and deliver on time
- Collaborative mindset with experience working in cross-functional teams
What the job involves
- We're seeking an Analytics Engineer who's passionate about turning complex data into actionable insights that drive remarkable results for our clients
- Reports to: Engineering Manager
- Lead Technical Delivery: Own end-to-end technical execution of analytics projects, from initial data exploration through to production deployment. You'll architect robust data pipelines that transform messy real-world data into reliable, business-ready datasets
- Drive Data Excellence: Champion analytics engineering best practices, implementing automated testing frameworks, data quality monitoring, and documentation standards that ensure our solutions are production-ready and maintainable
- Shape Client Solutions: Work directly with clients to understand their business challenges and translate requirements into technical solutions
- Innovate with Purpose: Explore cutting-edge approaches to analytics engineering, from modern data stack implementations to MLOps practices, ensuring QuantSpark stays at the forefront of the industry
- Work That Matters: Lead high-impact analytics projects across diverse sectors, from building predictive models that help private equity firms identify value creation opportunities to creating inventory optimisation algorithms for household-name retailers
- Tackle Exciting Challenges: Design and implement technically sophisticated solutions such as real-time analytics platforms for FTSE 100 companies, automated risk assessment systems for asset managers, and predictive maintenance pipelines for government departments
- Build Solutions That Scale: Your analytics engineering will power data products used by millions of customers, from recommendation engines for major retailers to fraud detection systems for financial institutions
- Shape Technical Standards: As a growing consultancy, you'll help define our analytics engineering practices, tooling choices, and data architecture patterns that will serve as the foundation for our continued growth
- Work Alongside Brilliant Minds: Collaborate with exceptionally talented colleagues who bring diverse expertise from leading universities, top tech companies, and varied industry backgrounds, all united by intellectual curiosity and a drive to solve meaningful problems
- Complex, Messy Data: Real client data is rarely clean or well-structured. You'll need creativity and technical skill to build robust pipelines that handle edge cases, missing data, and evolving schemas while maintaining data quality
- Diverse Technical Stacks: Each client brings different tools and constraints. You'll work across various cloud platforms, databases, and analytics tools, requiring adaptability and continuous learning
- Balancing Speed and Quality: Clients need results quickly, but our reputation depends on delivering robust, scalable solutions. You'll help teams maintain engineering excellence under time pressure
- Building While Flying: Unlike established enterprises, we're still developing some of our data engineering standards and practices. You'll help shape these systems while navigating some ambiguity
- Competitive Analytics Market: With data engineering roles growing 20% year-over-year, you'll help us stay competitive by developing cutting-edge capabilities while mentoring talent in high demand
- The right candidate will see these challenges as energising opportunities to create outsized impact in a growing organisation
- What Success Looks Like in Your First Year:
- Technical Impact: Successfully contribute to analytics engineering projects, delivering robust data pipelines that drive measurable business outcomes for clients
- Quality Leadership: Utilise data quality frameworks and testing practices that become standard across our analytics teams
- Client Relationships: Interact with key technical stakeholders at major clients, becoming a trusted contributor to their data strategy outcomes
- Innovation Contribution: Research and evaluate new tools, practices, or methodologies that improve our team's efficiency and solution quality
Salary benchmarks
Our take
QuantSpark helps governments and businesses to strategically apply data science through the development of complex decision-making software. Primarily, its work involves analysing large datasets and systems in order to understand customer behaviour and help clients make informed decisions for strategic planning in sales and marketing.
In recent years, big data has become central to the operation of businesses large and small, and this has led to great demand for data scientists fluent in sophisticated modelling and analysis. QuantSpark seeks to go a step further, providing a service which combines data science with commercial insight- effectively providing both services through one transaction. By doing this, QuantSpark hopes to offer clients a more meaningful insight into their data than a standard consultancy could.
Already, the company has an impressive client list, including the UK Government, the Australian Government and Bain Capital. QuantSpark's tools and solutions are developed to become embedded in its clients' operations, ensuring a long-lasting relationship between them, and meaning that, as QuantSpark continues to expand its client base, its model should allow it to see continued success in the future.
Steph
Company Specialist at Welcome to the Jungle
Company
Company benefits
- Tech for good: We are passionate about giving our team the chance to have a real social impact and will have the opportunity to work on a wide variety of impactful projects
- Training budget: Everyone in QuantSpark has £6,000 training budget and 12 ring-fenced days a year to spend on their own professional development
- Work abroad for up to 1 month per year
- Generous EMI Share Options scheme
- Socials, clubs and guilds to connect with colleagues and share knowledge
- Hybrid working (2-3 days in office per week)
- Dog friendly office
- Cycle to work scheme. Onsite showers
- 25 days annual leave + bank holidays + buy/sell 5 days annual leave
- Pension matched up to 6%
- Vitality Private healthcare
- Annual performance bonus: Company profit share scheme and a personal performance bonus of 10%
Company values
- Problem Solving Power: We thrive on solving the biggest challenges with data, strategy, and AI - delivering clarity from complexity.
- Innovation That Lasts: We go beyond solutions - reimagining operations and scaling impactful innovation across industries.
- Results That Matter: We focus on outcomes that count - driving efficiency, profitability and positive societal impact.
Company HQ
London, UK
Articles
Leadership
Adam Hadley
(Co-Founder & CEO)Entrepreneur and CBE Adam leads QuantSpark and Tech Against Terrorism, using AI and analytics to tackle global challenges, strengthen security, and foster economic growth in the UK.
Diversity, Equity & Inclusion at QuantSpark
- As an AI-first consultancy tackling complex challenges from economic crime to government fraud prevention, we know that diverse perspectives drive better solutions. Different backgrounds, experiences and ways of thinking aren't just nice to have—they're essential to building technology that works for everyone and solving problems others miss.
- Transparent progression frameworks ensuring fair opportunities for growth regardless of background
- Inclusive recruitment practices designed to attract talent from underrepresented groups in tech and data science
- Regular culture initiatives like our peer feedback sessions, workshops and AMA's where we actively shape our workplace together
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