Engineering Manager, QuantSpark
Analytics Engineering
£80-100k
2-3 days a week in office
QuantSpark is revolutionising how data and AI serve society
Job no longer available
QuantSpark is revolutionising how data and AI serve society
21-100 employees
Job no longer available
£80-100k
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
- Advanced coding skills in Python with experience with Numpy/Pandas
- Apply software engineering best practices like version control and CI/CD
- High level of commercial awareness and business acumen for client interactions
- Experience with relational database design for data warehousing and advanced ability in SQL
- Strong knowledge of Cloud platforms such as AWS, Azure and GCP
- Understanding of non-relational database design (e.g. MongoDB)
- Demonstrable experience of leveraging data to deliver value-driving insights for businesses e.g. predictive modelling, automated reporting, etc
- Bachelor's degree in a STEM field (Science, Technology, Engineering, or Mathematics) is preferred
What the job involves
- Reports to: Head of Engineering
- You will be joining the Analytics Engineering Team, that sits at the interface between our Software Engineering and Analytics Consulting teams, and, in general, tries to blend skills from across these disciplines
- As an Engineering Manager at QuantSpark, you will serve as a leader in the Analytics Engineering team, providing guidance to engineers of varying experience levels
- You’ll work across multiple projects, helping to oversee the technical delivery of products and features related to the data platforms we build for our clients
- Our project teams work cross functionally, and you will collaborate closely with product managers and technical leads to determine appropriate resourcing, timelines and technical approaches
- You will be expected to engage with our clients, primarily interacting with technical stakeholders, to ensure the seamless integration and deployment of our solutions
- You will also need to coordinate with Service Managers as needed to guarantee product support
- As a line manager for both junior and senior Analytics Engineers, you will focus on team growth and development through coaching and mentorship
- By supporting and developing engineers, you will pinpoint opportunities to enhance processes and implement data engineering best practices to boost efficiency and grow the company
- Occasionally, you’ll assist the Commercial Team by providing technical guidance on proposals for new work
- Oversee the work of a cross-functional data team to build scalable data solutions
- Architect data engineering and model engineering solutions, ensuring they are extendable, maintainable and follow best practices
- Deliver against an analytical workplan and the Analytics Engineering strategy by managing multiple projects and workstreams to a high standard
- Manage client relationships with technical or SME stakeholders, preparing technical documentation where required
- Act as a key contributor on the most complex of features across the project portfolio
- Analyse existing data architectures and provide advice on how to develop effective data connectors, ETL/ELT processes and data warehouses / datacubes
- Lead work-streams and delegate key priorities effectively
- Lead and support your line managees and others in the team, both in their technical delivery and personal development
- Responsible for managing team meetings and overall team governance, ensuring solutions are well documented, and built to relevant technical standards
- Works with the Head of Engineering and SLT to deliver an Analytics Engineering team strategy, planning out team OKRs and relevant growth and process improvement
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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