Senior Analytics Engineer, QuantSpark
ÂŁ55-70k
+ Share options scheme
2+ days a week in office
Data analytics services consultancy
Job no longer available
Data analytics services consultancy
21-100 employees
Job no longer available
ÂŁ55-70k
+ Share options scheme
2+ days a week in office
21-100 employees
Company mission
To pioneer the strategic application of data science and software development to improve commercial decision-making.
Role
Who you are
- Due to the nature of our work, candidates must be eligible for Security Clearance
- We're seeking an experienced Senior Analytics Engineer who's passionate about turning complex data into actionable insights that drive remarkable results for our clients
- The right candidate will see challenges as energising opportunities to create outsized impact in a growing organisation
- 4+ years of experience in analytics engineering, data engineering, or similar roles with substantial experience building production data pipelines
- Advanced 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
- Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code practices
- Familiarity with data visualisation tools (Tableau, PowerBI, Looker) and analytics frameworks
- Proven experience leading technical work streams and mentoring junior team members
- Exceptional communication skills with ability to explain complex technical concepts to both technical and non-technical stakeholders
- Experience working directly with clients or business 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
Desirable
- Experience with machine learning workflows and MLOps practices
- Knowledge of real-time streaming data processing (Kafka, Kinesis)
- Background in consulting or client-facing technical roles
- Contributions to open-source analytics or data engineering projects
What the job involves
- Reports to: Engineering Manager/ Lead Data Engineer
- 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
- 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
- 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
- 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
- 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
- Mentor Rising Talent: Guide junior analytics engineers and data scientists, sharing your expertise in pipeline design, SQL optimisation, and Python development. You'll help build the next generation of analytics engineering talent at QuantSpark
- 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
- The Real Challenges You'll Help Us Solve:
- 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
- What Success Looks Like in Your First Year
- Technical Impact: Successfully lead 3-4 major analytics engineering projects, delivering robust data pipelines that drive measurable business outcomes for clients
- Quality Leadership: Establish data quality frameworks and testing practices that become standard across our analytics teams
- Team Development: Mentor 1-2 junior team members, helping them advance their technical skills and project ownership capabilities
- Client Relationships: Build strong relationships with key technical stakeholders at major clients, becoming a trusted advisor for their data strategy
- Innovation Contribution: Introduce 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
Insights
Company
Company benefits
- Social impact: 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 a monthly training budget to spend on their own professional development
- Scale-up culture: We don't often have pizzas but we do offer a unique environment to contribute to QuantSpark's growth culture
- Socials: We're a social bunch and love to get to know each other
Company values
- Diversity: Diversity of people and ideas is essential for wellbeing and effectiveness as teams. Our interdisciplinary approach means that we produce extraordinary outcomes for our clients and also provides significant opportunities for professional development
- Analytical Rigour: We use data to cut through cognitive biases and pursue the truth for our clients. We test and probe each other's ideas and findings to ensure we leave no stone unturned in the pursuit of being the best we can
- Teamwork: As we work together to scale up QuantSpark and support our clients in their own analytics transformation journey, we take pride in teaching, learning, developing, and sharing as a team
- Entrepreneurialism: Rolling our sleeves up. Grit. We focus on doing our best to get the best outcomes for our clients. We empower all our colleagues to think outside the box in order deliver innovation for our clients
Company HQ
London, UK
Leadership
Adam Hadley
(Co-Founder & CEO)With Master's degrees from Oxford and KCL, Adam divides their time between running QuantSpark and Tech Against Terrorism- the world's preeminent NGO helping to tackle terrorists' use of the internet.
People progressing
Anastasia is the Head of People and Operations. Anastasia joined the business as EA to Adam, the CEO, and quickly built out a department of her own which continues to expand.
Sophie joined the team in 2021 as a Senior Product Manager. They were quickly promoted to Product Lead and again to Head of Product.
Daniel joined as a Data Analyst in 2019 and now leads the Analytics Engineering Team and is an integral part of the business.
Diversity, Equity & Inclusion at QuantSpark
- QuantSpark is an equal opportunities employer committed to fair and equitable treatment for all potential employees, regardless of sex, gender, sexual orientation, marital status, race, nationality, ethnicity, religion, age, or disability.
- We utilise diversity and inclusion data to pinpoint areas of improvement to our hiring process.
- We are transparent with our salary bandings to encourage everyone to feel empowered in their negotiations, and to ensure parity with our existing teams.
- We have a flexible approach to our interview process, utilising video interviews and take-home assessments. We aim to increase the variety of our assessment styles, to offer fair opportunity to all types of candidates.
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