Data Engineering Manager, QuantSpark
£80-100k
+ Share options scheme
2+ days a week in office (Southwark, London)
Data analytics services consultancy
Be an early applicant
Data analytics services consultancy
21-100 employees
Be an early applicant
£80-100k
+ Share options scheme
2+ days a week in office (Southwark, London)
21-100 employees
Company mission
QuantSpark's mission is to help governments and businesses solve critical strategic problems using data-driven processes, including understanding and analysing data from disparate systems, and building decision-support tools on the basis of those insights.
Role
Who you are
- We are actively seeking candidates for various roles and encourage individuals eager to solve complex problems and expand their skills to connect with us
- Excellent coding skills in Python with experience with Numpy/Pandas
- Apply software engineering best practices like version control and CI/CD
- Experience with relational database design for data warehousing and advanced ability in SQL
- Knowledge of Cloud platforms such as AWS, Azure and GCP
- Understanding of non-relational database design (e.g. MongoDB)
- Demonstrable experience of leveraging data to deliver value-driving insights for businesses e.g. predictive modelling, automated reporting, etc
- Communication: Excellent interpersonal skills for effective stakeholder collaboration
- Ownership and Leadership: Ability to manage workstreams, support junior team members, and lead discussions
- Client Engagement: Confidence in managing client relationships, especially with technical stakeholders
What the job involves
- QuantSpark are looking for a talented Data Engineering Manager to join the London team on a permanent, hybrid basis!
- Reports to: Head of Engineering
- At QuantSpark, our success relies on the analytical rigour, creativity, and entrepreneurial mindset of our team
- We are dedicated to attracting top talent and emphasise continuous development, training, and responsibility
- You will tackle real business challenges with creativity and make significant contributions to each project
- You will be joining the Analytics Engineering Team, that 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
- Oversee the work of a cross-functional data team to build scalable data solutions
- Architect data engineering and model engineering solutions, ensuring they are extendable, maintainable and follow best practices
- Manage client relationships with technical or SME stakeholders, preparing technical documentation where required
- Act as a key contributor on the most complex of features across the project portfolio
- Analyse existing data architectures and provide advice on how to develop effective data connectors, ETL/ELT processes and data warehouses / datacubes
- Lead and support your line managees and others in the team, both in their technical delivery and personal development. You will pinpoint opportunities to enhance best processes and implement data engineering best practices
- Responsible for managing team meetings and overall team governance, ensuring solutions are well documented, and built to relevant technical standards
- Work with the Head of Engineering and SLT to deliver an Analytics Engineering team strategy, planning out team OKRs and relevant growth and process improvement
Application process
- We usually respond within three days
Salary benchmarks
Our take
QuantSpark helps governments and businesses to strategically apply data science through the development of complex decision-making software. Primarily, their 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.
They already have 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 their 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
Insights
Some candidates hear
back within 2 weeks
32% female employees
30% employee growth in 12 months
Company
Employee endorsements
Career progression
"From day 1, I was given clear direction for where I can grow within QuantSpark and communication around development has been open and transparent,..."
Company benefits
- £6000 yearly training budget
- Opportunity to work from abroad for 20 days per year
- Flexible working between our core hours of 10am - 5pm
- EMI Share Options Scheme
- Generous pension contributions
- Top tier Private Healthcare with Vitality
- Optional monthly socials, dinners, and fun nights out
- Opportunity to work on social impact & pro bono strategy projects
- A fully stocked supply of breakfast, fruit, and refreshments for the days when you are in the office
- 33 days total holiday
Company values
- Diversity
- Analytical Rigour
- Teamwork
- Entrepreneurialism
Company HQ
London, UK
Leadership
Adam Hadley
(CEO)With Master's degrees from Oxford and KCL, Adam divides their time between running QuantSpark and Tech Against Terrorism- the world's preeminent NGO helping to tackle terrorists' use of the internet.
People progressing
Anastasia is our Head of People and Operations. Anastasia joined the business as EA to Adam, our CEO, and quickly built out a department of her own which continues to expand.
After 1.5 years, Sophie was promoted to a Lead role and then established a Product department, expanded to 5 PMs, 2 new specialist skillsets, and fostered promotions within her team.
Daniel joined us as a Data Analyst in 2019 and now leads the Analytics Engineering Team and is an integral part of the business.
Diversity, Equity & Inclusion at QuantSpark
Amber Harrison (Talent & People Specialist)
- Females make up 32% of our business, which is higher than the UK national average within the tech/data industries at 26%. We are intent on steering away from token hiring (for all under privileged groups), and instead focus on ensuring a fair and inclusive hiring strategy and process to offer equal opportunity to all.
- We use gender neutral language within all our job descriptions.
- We write job description requirements as minimally as possible (5 essential) to encourage candidates, who may exclude themselves, to apply.
- We are transparent with our salary bandings to encourage everyone to feel empowered in their negotiations, and to ensure parity with our existing teams.
- We ensure a fair and consistent interview process, ensuring all candidates are assessed on the same required skills, which are related to job performance and have a positive intent.
- We utilise diversity and inclusion data to pinpoint areas of improvement to our hiring process.
- Where possible, we aim for candidates to meet a wide and diverse interview panel, to ensure we have a variety of perspectives when hiring.
- We have a flexible approach to our interview process, utilising video interviews and take-home assessments. We aim to increase the variety of our assessment styles, to offer fair opportunity to all types of candidates.
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