Senior Analytics Engineer

Senior Analytics Engineer

Reporting to: Engineering Manager

Office Environment: Hybrid (minimum two days per week)

Type: Full time, Permanent

Join Our Missio

nSkip the queue. Shape the future. See real impact

.At QuantSpark, we’re transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you’ll work directly on the problems that matter most—whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies

.Here, you’ll compress 5–10 years of traditional career progression into 2–3 years. From day one, you’ll lead end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain

.We don’t just develop—we build, own, and scale data solutions that shape the organisations we work with and have meaningful societal impact

.
Our Client Portfol

ioWe partner with forward-thinking organisations across multiple sector

• s:Private Equity & Financial Services: AI-powered value creation, portfolio analytics, and risk management for investment and wealth firm
• s.Retail & Consumer: Pricing optimisation, personalised engagement, and inventory efficiency for major UK retailer
• s.Asset Management: Automated risk management and advanced investment platforms for asset manager
• s.Public Sector: Trusted by UK government departments for fraud analytics, predictive maintenance, and supply chain optimisatio
• n.SaaS & Manufacturing: Driving technology transformation for SaaS innovators and global manufacturer

s.
The R

oleThis is an exciting opportunity for a Senior Analytics Engineer to lead technical work on cutting-edge projects, deliver innovative data solutions, and shape QuantSpark’s approach to analytics engineering. Sitting at the intersection of data analytics, software engineering, and data infrastructure, you wi

• ll:Lead and build scalable data pipelines with tools such as dbt and Airfl
• ow.Collaborate with clients to understand challenges and deliver tailored, high-impact solutio
• ns.Transform raw data into actionable datasets for predictive analytics, AI models, and SaaS produc
• ts.Champion innovation through automation, testing frameworks, and best practic
• es.Mentor and coach junior engineers to elevate technical excellence across the te

am.
You Should Hit the Apply Button

• If…You bring extensive experience in analytics engineering or data/model engineering ro
• les.You are highly skilled in Python (NumPy/Pandas) and SQL, with proven ability to deliver robust, production-ready soluti
• ons.You have led technical workstreams and enjoy mentoring other engine
• ers.You thrive in stakeholder-facing roles and can translate technical challenges into clear business va
• lue.You are confident working with cloud platforms (AWS, Snowflake) and ETL/ELT pipeline tools (Airflow, d

bt).
I Want to Work for a Company

• That…Empowers me to drive real change in both commercial and public sec
• tors.Balances autonomy with collaboration across multi-disciplinary t
• eams.Is bold and forward-thinking in its use of AI and data analy
• tics.Encourages innovation as part of the day-to-day cul

ture.
I’m Looking to Work

• With…Ambitious colleagues who push the boundaries of analytics a
• nd AI.Clients who want to solve big, meaningful chall
• enges.Leadership that is open, accessible, and invested in career progre

ssion.
In 3–5 Years I Want

• to Be…A recognised technical leader in analytics engin
• eering.Someone who influences best practices across data and AI in the in
• dustry.A mentor who has helped shape the next generation of engineers within Quan

tSpark.
Perks &

• Benefits£6,000 annual training & conference budget to stay at the cutt
• ing edgeUp to 6% matched pension contributio
• n schemeComprehensive private healthcare with
• VitalityEMI share options scheme—own a piece of the growth you hel
• p createWork remotely from anywhere in the world for up to 1 mo
• nth/year25 days holiday (plus bank holidays) with the option to buy/sell up to 5 ex
• tra daysCycle-to-work scheme for sustainable c
• ommutingCentral London office with socials, dinners, and fully stocked refr
• eshmentsExclusive discounts on retailers, travel, technology, and fitness mem

berships
Equal Oppo

rtunitiesWe 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