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Job Title: Engineering Manager – Analytics Engineering
Reports to: Head of Engineering
Type: Full-time permanent
Salary: £90,000 - £100,000

About us

QuantSpark transforms organisations through Analytics and AI. We supercharge high-value, complex processes to drive operational efficiency and profitability. As markets face greater disruption, QuantSpark empowers companies in realising their competitive advantage through data, strategic insight, and AI. QuantSpark prides itself on combining creative thinking with analytical rigour. Our team is innovation that drives us to create value for our clients.

At QuantSpark, the work we do would not be possible without the analytical rigour, creativity, and entrepreneurial mindset of our teams. That’s why we’re committed to hiring the best, and why we put so much emphasis on development, training, and taking on responsibility. 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!

We believe in offering a flexible, hybrid working environment. 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. As a rough guide, we collaborate in the office at least half the time.

The 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.

The Role

As an Engineering Manager at QuantSpark, you will serve as a leader in the Analytics Engineering team, providing guidance to engineers of varying experience levels. You’ll work across multiple projects, helping to oversee the technical delivery of products and features related to the data platforms we build for our clients. Our project teams work cross functionally, and you will collaborate closely with product managers and technical leads to determine appropriate resourcing, timelines and technical approaches. You will be expected to engage with our clients, primarily interacting with technical stakeholders, to ensure the seamless integration and deployment of our solutions. You will also need to coordinate with Service Managers as needed to guarantee product support.

As a line manager for both junior and senior Analytics Engineers, you will focus on team growth and development through coaching and mentorship. By supporting and developing engineers, you will pinpoint opportunities to enhance processes and implement data engineering best practices to boost efficiency and grow the company. Occasionally, you’ll assist the Commercial Team by providing technical guidance on proposals for new work.

Requirements

• 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
• Deliver against an analytical workplan and the Analytics Engineering strategy by managing multiple projects and workstreams to a high standard
• 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 work-streams and delegate key priorities effectively
  
• Lead and support your line managees and others in the team, both in their technical delivery and personal development

Technical requirements:

• Advanced coding skills in Python with experience with Numpy/Pandas
• Apply software engineering best practices like version control and CI/CD
• High level of commercial awareness and business acumen for client interactions
• Experience with relational database design for data warehousing and advanced ability in SQL.
• Strong 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

Responsible for managing team meetings and overall team governance, ensuring solutions are well documented, and built to relevant technical standards
Works with the Head of Engineering and SLT to deliver an Analytics Engineering team strategy, planning out team OKRs and relevant growth and process improvement

Technical requirements:

• Advanced coding skills in Python with experience with Numpy/Pandas
• Apply software engineering best practices like version control and CI/CD
• High level of commercial awareness and business acumen for client interactions
• Experience with relational database design for data warehousing and advanced ability in SQL.
• Strong 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.
Bachelor's degree in a STEM field (Science, Technology, Engineering, or Mathematics) is preferred

Benefits

• £6,000 per annum training & conference budget to help you upskill and develop your career
• Top tier Private Healthcare with Vitality on us
• Numerous, perks, discounts, and rewards with major retailers, gym memberships, technology, and travel partners
• Participate in our Share Options scheme from day one
• Ability to work from abroad for up to one month each year
• 25 days of annual leave (not inclusive of Bank Holidays)
• Pension scheme
• Cycle to work scheme
• Plenty of socials, dinners, and fun nights out
• A fully stocked supply of breakfast, fruit, and refreshments for the days when you are in the office

Equal Opportunities

QuantSpark is an equal opportunities employer and as such makes every effort to ensure that all potential employees are treated fairly and equally, regardless of their sex, gender, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion, age, or disability.