Senior Analytics Engineer

Job Title: Senior Analytics Engineer
Reports to: Lead Analytics Engineer
Type: Full-time permanent
Salary: £55,000-£73,000
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.

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.

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’ve actively recruiting for multiple openings and a variety of vacancies across different areas of expertise. 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.

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 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.

Responsibilities

• 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.

Requirements

• 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.

The following skills are not required but would be beneficial:

• 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.

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.