Engineering Manager – Analytics Engineering
Reporting to: Head of Engineering
Office Environment: Hybrid (minimum three days per week)
Type: Full time, Permanent
SC Eligibility Required
Joining Our Mission
Shape the future. Make an impact.
At QuantSpark, pioneering the strategic application of data, analytics, and AI is at the heart of our work. We empower British businesses and government to thrive—not just for profits, but for measurable human and societal benefit. This means tackling real-world challenges, innovating at scale, and forging solutions that leave a legacy of prosperity and efficiency.
Here, engineers and strategists collaborate daily—compressing years of traditional progression into an accelerated path. As Engineering Manager, you’ll operate at both the visionary and technical frontier, steering teams who build, own, and transform essential platforms and products.
Our Client Portfolio
We work with high-growth organisations and sector leaders:
- Financial Services & Private Equity: Delivering AI-powered analytics, risk, and operational tools.
- Retail & Consumer Brands: Optimising pricing, inventory, and engagement through actionable analytics.
- Asset Management: Developing investment infrastructure and automated risk management systems.
- Public Sector: Trusted by government departments for fraud analytics, predictive maintenance, and operations optimisation.
- SaaS & Manufacturing: Driving technological transformation and efficiency across verticals.
The Role
Lead analytics engineering teams at the interface of data system design, advanced analytics, and real-world impact. You will:
- Architect, optimise, and deliver ELT pipelines and data workflows (using dbt, Airflow, SQL, Python).
- Own and evolve large-scale analytics platforms and data warehouse solutions (Snowflake, BigQuery, Redshift).
- Mentor engineers across analytics engineering and data engineering disciplines.
- Ensure data solutions meet best practices for governance, integrity, modelling, and scalability.
- Drive innovation in data orchestration, schema design, transformation, and automation.
- Translate technical insights for stakeholders, ensuring analytics solutions deliver measurable business outcomes.
You Should Hit the Apply Button If…
- You bring 7+ years’ experience in analytics/data engineering.
- You have advanced skills in data pipelining, schema design, and transformation workflows.
- You are fluent in modern data platforms, cloud environments, and scalable infrastructure.
- You have managed analytics/data engineering teams and advanced process optimisation.
- You’re passionate about data quality, governance, and enabling business transformation through analytics.
I Want to Work for a Company That…
- Balances visionary leadership with hands-on technical impact.
- Prioritises meaningful, purpose-driven work and innovative culture.
- Values rapid learning, ownership, and mission-driven growth.
- Builds solutions that create lasting impact in both business and society.
I’m Looking to Work With…
- Diverse, talented cross-disciplinary teams solving complex business and technical problems.
- Partners and clients who value data-driven transformation.
- Leadership that inspires, trusts, and invests in emerging talent.
In 3–5 Years I Want to Be…
- A technical authority shaping large-scale data and analytics engineering projects.
- A recognised mentor who’s grown talented engineers and future leaders.
- An influential leader connecting strategic decisions with pioneering analytics solutions.
Perks & Benefits
- £6,000 annual training/conference allowance
- Matched pension contributions up to 6%
- Private Healthcare (Vitality)
- EMI share options—own a part of QuantSpark’s growth
- Work abroad up to one month/year
- 25 days annual leave (+ bank holidays, option to buy/sell up to 5)
- Cycle-to-work scheme
- Central London office with socials, events, and premium refreshments
- Discounts with major retailers, tech, fitness, travel partners.
Equal Opportunities
We are committed to building a diverse and inclusive team. Different perspectives, identities, and experiences make us stronger—both as people and as a business. All qualified applicants will be considered regardless of sex, sexual orientation, marital status, race, nationality, religion, disability, or age.
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