Analytics Engineer, QuantSpark
£60-70k
2-3 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
£60-70k
2-3 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
- To succeed in this data engineering position, you must be able to extracting data from a broad range of cloud and on-premise data systems and integrating this into purpose-built data warehouses and data cubes
- Our teams thrive because of the diverse and creative way we approach problems along with our focus on cross-team collaboration. For this role we’re looking for a team member who has great interpersonal skills and enjoys engaging with client teams to help support their data analytics journey
- More than other roles, as a Data Engineer you will be working closely with the client’s technical and IT teams - diplomacy and warmth goes a long way to ensure successful project engagements
- Minimum of three years’ experience as Data Engineer or in a similar functional role
- Knowledge of building data warehouses on the major cloud-based platforms such as Google Cloud Platform, Microsoft Azure, AWS Redshift, Snowflake
- Experience of building bespoke data connectors and working with 3rd party APIs e.g. Skyvia, Stitch to extract and connect data from client CRMs, financial systems, sales systems, HR systems
- Ability to work creatively with a broad range of CRMs and ERPs
- Experience with relational database design and advanced ability in SQL
- Experience creating server environments and building architecture required to support data analytics
- Experience with data cleansing at scale
- Advanced coding skills in Python and/or R are essential
Desirable
- Data Engineering certification (e.g IBM Certified Data Engineer) is a plus
What the job involves
- As a Data Engineer you enable the Analytics team to accelerate work in developing dashboards in Microsoft PowerBI, Tableau, and other BI solutions
- By developing data cleansing routines and by consolidating data in centralised cloud-based data warehouses you will also enable the Model Engineering team in their work to model and analyse large datasets which often includes systematic errors in need of automated cleansing scripts
- You will also support the Development team in optimising data pipelines and architectures supporting our own range of SaaS products and bespoke tool development projects
- Analyse existing (often legacy) data architectures and provide advice on how to build effective ETL processes, pipelines, data connectors, and data warehouses / data cubes
- Build bespoke data connectors from existing databases and systems and integrate with purpose-built data cubes in the major cloud platforms
- Develop client Single Customer Views (SCVs) in a variety of mainstream platforms
- Reconcile differences in datasets with a view to ensure that the updated data architecture provides accurate reporting
- Identify systematic errors in large datasets and build automated data cleansing scripts
- Engage collaboratively with client technical teams to deploy updated data architectures
- Enable the Analytics team to be more effective in developing descriptive and predictive analytics solutions
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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