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 Servic
es: AI-powered value creation, portfolio analytics, and risk management for investment and wealth firm
* s.Retail & Consum
er: Pricing optimisation, personalised engagement, and inventory efficiency for major UK retailer
* s.Asset Manageme
nt: Automated risk management and advanced investment platforms for asset manager
* s.Public Sect
or: Trusted by UK government departments for fraud analytics, predictive maintenance, and supply chain optimisatio
* n.SaaS & Manufacturi
ng: 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 bu
ild scalable data pipelines with tools such as dbt and Airfl
* ow.Collaborate with clie
nts to understand challenges and deliver tailored, high-impact solutio
* ns.Transform raw d
ata into actionable datasets for predictive analytics, AI models, and SaaS produc
* ts.Champion innovat
ion through automation, testing frameworks, and best practic
* es.Mentor and co
ach 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/Pan
das)
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 w
ith cloud platforms (AWS, Snowfl
ake)
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
, or age.