Python Data Engineer, QuantSpark
£63.5-77.5k
1-2 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
£63.5-77.5k
1-2 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
- We are looking for a Data Engineering specialist with demonstrable experience building robust, performant data pipelines, preferably within the Financial Services sector
- 🌟 Advanced in ETL/ELT data pipelining and schema design, with demonstrable experience designing and implementing robust, performant data pipelines from a variety of sources such as databases, APIs, SFTP, etc
- 🌟 Experience in data ingestion and QA pipelines that involve humans in the loop
- 🌟 Advanced coding skills in Python (Pandas) within large datasets
- 🌟 Experience integrating well tested production-level code into large codebases, with expertise in version control for collaborating within large codebases and for managing code across different environments
- 🌟 Experience in analytics consulting working with financial services clients, or an in-house model/data engineering role within financial services, eg asset management, retail/investment banking
- 🌟 Excellent consulting, listening and communication skills, demonstrated with the ability to establish working relationships at all levels of an organisation. Strong documentation and written communication skills
- 🌟 Ability to learn on the job in a dynamic environment where you embrace change and take on diverse challenges with a proactive and resilient attitude
- 🌟 Evidence of high academic achievement in a STEM discipline
Desirable
- Experience building ELT pipelines using tools such as dbt and Airflow
- Experience working with Snowflake would be advantageous
- Experience working with key financial analytics data vendors (e.g. Bloomberg, S&P, CapitalIQ)
- Familiarity of working with backend architecture for creating and managing containerised applications
- Experience working with semi-structured data (JSON, NoSQL, etc.)
- Familiarity with building and productionising Machine Learning model pipelines
What the job involves
- Reports to: Principal Analytics Engineer
- The Analytics Engineering Team sits at the interface between our Software Engineering and Analytics Consulting teams, and, in general, tries to blend skills from across these disciplines
- Members of the team serve a pivotal role in our cross-functional delivery teams, assisting with the design and creation of complex analytical features, whilst also helping to facilitate effective communication across the team
- Creating and optimising foundational data infrastructure e.g., datawarehouse design, creation of automated ETL/ELT pipelines, data modelling, etc
- Developing and integrating well tested production-grade analytics code into the applications we build for our larger clients
- Leveraging state of the art modelling approaches to develop predictive analytics solutions which help our clients make better business decisions
- You will support clients from this sector to define a clear vision for their data strategy & develop a roadmap of activities to deliver
- Work with key strategic clients within asset management and financial services to deliver ROI through key data projects, including the design and implementation of python based ETL pipelines, and the design of effective data architectures
- Work in partnership with technical and non-technical client stakeholders to understand their needs and advise on the appropriate solutions and choices
- Manage your projects so that they are delivered on time by creating timelines, identifying risks, and prioritising critical paths
- Engage collaboratively with client technical teams to conform to and extend technical standards and guidelines
- Serve as an advocate for best practices in software development and data management across the company
- Assist in the management and development of the team through coaching, performance management, and goal setting
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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