Analytics Engineer , QuantSpark
£55-70k
+ EMI Share Options scheme
2+ days a week in office
Data analytics services consultancy
Be an early applicant
Data analytics services consultancy
21-100 employees
Be an early applicant
£55-70k
+ EMI Share Options scheme
2+ days a week in office
21-100 employees
Company mission
QuantSpark's mission is to help governments and businesses solve critical strategic problems using data-driven processes, including understanding and analysing data from disparate systems, and building decision-support tools on the basis of those insights.
Role
Who you are
- 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
- We're seeking an experienced Analytics Engineer who's passionate about turning complex data into actionable insights that drive remarkable results for our clients
- 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
- 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
- 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, their 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.
They already have 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 their 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
- £6000 yearly training budget
- Opportunity to work from abroad for 20 days per year
- Flexible working between our core hours of 10am - 5pm
- EMI Share Options Scheme
- Generous pension contributions
- Top tier Private Healthcare with Vitality
- Optional monthly socials, dinners, and fun nights out
- Opportunity to work on social impact & pro bono strategy projects
- A fully stocked supply of breakfast, fruit, and refreshments for the days when you are in the office
- 33 days total holiday
Company values
- Diversity
- Analytical Rigour
- Teamwork
- Entrepreneurialism
Company HQ
London, UK
Leadership
Adam Hadley
(CEO & Co-Founder)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 our Head of People and Operations. Anastasia joined the business as EA to Adam, our CEO, and quickly built out a department of her own which continues to expand.
After 1.5 years, Sophie was promoted to a Lead role and then established a Product department, expanded to 5 PMs, 2 new specialist skillsets, and fostered promotions within her team.
Daniel joined us 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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