Senior Analytics Engineer

Senior Analytics Engineer

Location: London, Hybrid (minimum 2 days per week in office)

Type: Full-Time, Permanent

Reports to: Engineering Manager / Lead Data Engineer

Salary: £55,000–£70,000 per annum

Security Clearance: Required

Join QuantSpark and Transform Data into Impac

tAt QuantSpark, we harness the power of AI and analytics to create meaningful societal impact across sectors including private equity, retail, asset management, public sector, SaaS, and manufacturing. We partner with leading organisations to deliver innovative data solutions that drive business value and improve lives

.
We are seeking a Senior Analytics Engineer passionate about turning complex data into actionable insights and scalable solutions. If you thrive on solving challenging data problems and want to work alongside brilliant minds in a fast-growing AI consultancy, this is your opportunit

y.
What You’ll

• DoLead end-to-end delivery of analytics engineering projects, designing robust data pipelines and transforming messy real-world data into reliable, business-ready datase
• ts.Champion best practices in analytics engineering, including automated testing, data quality monitoring, and documentati
• on.Mentor junior engineers and data scientists, sharing expertise in pipeline design, SQL optimisation, and Python developme
• nt.Collaborate directly with clients to understand their challenges and translate them into technical solutio
• ns.Innovate with cutting-edge tools and methodologies, keeping QuantSpark at the forefront of analytics engineeri

ng.
Why QuantSp

• ark?Work That Matters: Lead projects impacting private equity firms, retailers, asset managers, and government clie
• nts.Technical Challenges: Build real-time analytics platforms, automated risk systems, and predictive maintenance pipeli
• nes.Scale Your Impact: Develop data products used by millions, from recommendation engines to fraud detect
• ion.Shape Our Growth: Define analytics engineering standards and tooling in a dynamic consultancy environm
• ent.Collaborate with Experts: Join a diverse team from top universities and tech companies driven by curiosity and imp

act.
What We’re Lookin

g ForTechnical Exper

• tise:4+ years in analytics or data engineering with experience building production data pipel
• ines.Advanced Python (NumPy, Pandas, SQL Alchemy) and expert SQL skills across multiple datab
• ases.Hands-on with dbt, Airflow, and cloud data warehouses (Snowflake, BigQuery, Redsh
• ift).Strong data modelling, schema design, and ELT/ETL pipeline development sk
• ills.Experience with AWS, Azure, or GCP and infrastructure-as-
• code.Familiarity with data visualisation tools like Tableau, PowerBI, or Lo

oker.Leadership & Communica

• tion:Proven ability to lead technical workstreams and mentor junior s
• taff.Excellent communication skills for technical and non-technical audie
• nces.Experience working directly with clients and managing multiple priorities in cross-functional t

eams.
Bonus S

• kills:Machine learning workflows and MLOps exper
• ience.Real-time streaming data processing (Kafka, Kin
• esis).Consulting or client-facing technical backg
• round.Contributions to open-source analytics pro

jects.
Success in Your Fir

• st YearLead 3-4 major analytics projects delivering measurable business ou
• tcomes.Establish data quality frameworks adopted across
• teams.Mentor junior engineers, enhancing their skills and project own
• ership.Build trusted relationships with key client stakeh
• olders.Introduce new tools and practices that improve team efficiency and solution q

uality.

• Benefits£6,000 annual training & conferenc
• e budgetUp to 6% matched
• pensionComprehensive private healthcare with
• VitalityEMI Share Option
• s scheme1 month remote work globally
• per year25 days holiday + option to buy/sel
• l 5 daysCycle to wor
• k schemeCentral London office with refreshments and team
• socialsExclusive discounts on retail, travel, tech, and
• fitnessAccess to cutting-edge analyti
• cs toolsRegular tech talks and innovat