Senior Analytics Engineer, QuantSpark
£55-73k
Plus Share Options Scheme
2+ days a week in office
Data analytics services consultancy
Open for applications
Data analytics services consultancy
21-100 employees
Open for applications
£55-73k
Plus Share Options Scheme
2+ days a week in office
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 looking for candidates interested in a hybrid role that allows comprised of Analysts, Analytics Engineers, and Developers with an entrepreneurial streak – it is this drive and spirit of flexibility and share our commitment to come onsite to our office regularly
- If you’re looking to be challenged to solve real business problems with creative flair then let’s connect and explore how your skills can contribute to QuantSpark’s success while furthering your own knowledge base and skillset
- Prior experience in a Data/Analytics Engineering role, ideally working alongside Analytics or Software Engineering teams
- Advanced coding skills in Python with experience with Numpy/Pandas
- Strong version control skills, with experience collaborating on large codebases and managing code across different environments
- Subject matter expertise in one or two parts of the model and data engineering and are confident at starting to lead others in these areas
- Ability to onboard and support junior members of the team, support more senior members of the team with internal and client deliverables and support the implementation of best practice and processes
- Strong data modelling experience, with a knowledge of best practice when designing schemas
- Experience building ETL/ELT pipelines with tools such as Airflow and dbt
- Strong Data warehousing experience (e.g. Redshift, Snowflake)
- Cloud experience, ideally within AWS (S3, EC2, Lambda, etc.)
- Ability to quickly gain a broader understanding of the deliverables of a project and can contribute to the team more widely
- Ability to take real ownership of solution design, architecture and testing process
- Confident leading discussions, bringing new ideas to the table, coming up with new features and determining the best way to execute technical delivery
- Excellent consulting, communication, and interpersonal skills, with the ability to take ownership of client relationships, especially with technical stakeholders
Desirable
- Experience with Docker is highly desirable
- Experience working with unstructured and semi-structured data along with DBMSs designed to store this type of data (e.g. MongoDB)
- Experience using data downstream for analytical purposes e.g. building dashboards (PowerBI, Tableau), predictive modelling, etc
What the job involves
- Reports to: Lead Analytics Engineer
- You will be challenged to solve real business problems with creative flair, and to contribute your best to every project you support
- As we work together to scale up QuantSpark and support our new and existing clients in their own analytics transformation journey we’re seeking talent individuals to join our team!
- 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
- As an Analytics Engineer you’ll be responsible for working with the team to develop and maintain data pipelines, data warehouses, and data models for analytical purposes while working as an effective member of a collaborative team. In this role, you will utilise strong communication skills to work cross functionally to deliver commercial value to clients by translating data insights into actionable solutions
- In this role, you will utilise strong communication skills to work cross functionally to deliver commercial value to clients by translating data insights into actionable solutions
- Utilise your Data Engineering expertise to design and implement scalable data pipelines, using tools such as Airflow and dbt
- Maintain existing solutions by resolving any issues which are detected and perform root cause analysis to continually improve the stability of our data platforms
- Gather requirements from stakeholders to design performant, logical data models which serve high-quality data to dashboards and business users
- Produce clear documentation for all the work you do, ensuring that all decisions, assumptions, and limitations are logged
- Work with product managers to scope out the enhancement of existing features and development of new ones
- Maintain and optimise the backend architecture of our existing Flask/Django-based web applications
- Work alongside other Analytics Engineers to deliver improvements to our ways of working e.g. adopting new tools, creating reusable packages of code, etc
- Contribute to their team goals through consistently delivering on projects of ambitious scope and high complexity
- Onboard and support junior members of the team, support more senior members of the team with internal and client deliverables and support the implementation of best practices and processes
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 & 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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