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Senior Analytics Engineer at QuantSpark Ltd

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  • London
  • fulltime
  • ₤47000 - ₤66000 per year
  • -
  • About the Role

    This role is perfect for an experienced data engineer or someone with previous experience as a Model Engineer (you don’t need to be an expert in both!) within a services or commercial environment.

    The AE Team are responsible for building complex models that solve real business problems. They also focus on data engineering, constructing well-tested datasets, and setting up the monitoring, testing and automation of data pipelines so that your colleagues in the Analytics team can use the data to answer the client’s key questions.

    Before embarking on analytics projects or developing products for our clients, it is vital that we develop best-in-class datasets and architecture to support the foundational layer of descriptive analytics. To this end, we are looking for an experienced Analytics Engineer to work within our Analytics Engineering team, sitting at the intersection between Data Analytics, Software Development, and Data Engineering.

    You’ll be designing and managing data warehouses using dbt or airflow, thereby enabling the modelling and working closely with the Development team on more software engineering tasks, supporting with API design, data architecture and pipeline design. These lay the foundation for our own range of SaaS products and bespoke tool development projects.

    But your role isn’t all “behind the scenes”; since we’re a consultancy, you’ll be working closely with both technical and non-tech stakeholders on the client’s side, identifying solutions for their key challenges, discussing recommendations, and helping them understand the value of the service you’re providing. Internally, you’re helping the team write better code and to adopt software engineering best practices, and you’re critical to enabling our Data Analysts and Developers to be more effective.

    Accountabilities

    • Aiding the development and analytics teams with the creation of tools and solutions
    • Data ingestion into the warehouse from a variety of sources (SQL, NoSQL, Cloud services via APIs) and preparing the data for modelling.
    • Modelling of raw data into datasets that enable the Analytics team to be more effective in developing descriptive and predictive analytics solutions
    • Analyse existing data architectures and provide advice on how to develop effective data connectors, ETL/ELT processes and data warehouses / datacubes
    • Design and development of Analytics and BI capabilities, dashboarding, reporting and visualisations
    • Ensure data quality, data security, data governance and wider Analytics Engineering standards remain high
    • Partnering with technical and non-technical client stakeholders to understand their needs and advise on the appropriate solutions and choices
    • Engage collaboratively with client technical teams to deploy updated data architectures

    Requirements

    About You

    Ideally, you have knowledge of either data or model engineering, or both! Either way, you’re able to speak the language of both business and technical teams and have experience of translating requirements for data insights and analysis into the required models such as Python and packages such as Numpy and Pandas.

    You use your creativity to build innovative solutions that solve your client’s biggest commercial challenges and are able to really identify and communicate the commercial value of your work.

    Depending on your technical experience, your role may lean more towards model engineering or data engineering responsibilities, however, you will have an opportunity to broaden your exposure to projects that require both skillsets.

    What you’ll need:

    • Some prior experience in a data analytics engineering or model/data engineering role, ideally working alongside Analytics teams
    • Advanced coding skills in Python with experience with Numpy/Pandas
    • High level of business acumen and an ability to deliver commercial value for clients
    • Experience with relational database design for data warehousing and advanced ability in SQL
    • Experience designing Data Schema that are normalised, extendable and performant to query
    • Ability to apply software engineering best practices like source control and CI/CD
    • Experience with data cleansing at scale and knowledge of data ingestion processes and data warehouses
    • Experience in designing and developing of ETL & ELT pipelines using AirFlow and dbt
    • Skilled in Data Warehousing and Data Modelling (Preferably using Cloud platforms such as Redshift, Big Query, or Snowflake)
    • Understanding of non-relational database design (e.g. MongoDB)
    • Experience building dashboards in Tableau or PowerBI

    Advantageous

    • Familiarity with cloud architecture is a plus (ideally AWS or alternatively Azure/GCP)
    • Experience creating designing and building cloud data architecture required to support analytics
    • Familiarity with CRM, marketing (such as Google Analytics), and/or ERP systems
    • As well as technical skills, you’ll also need to be a great consultant and a driver of our fantastic culture, so we also look for you to have:
    • Excellent communication skills – translating technical lingo into insights and stories for non-technical stakeholders is a must!
    • An ability to work autonomously and be self-motivated
    • A team-oriented and collaborative approach
    • An interest in joining a small but growing team and drive to help both themselves and the business develop

    QuantSpark hire based on potential, not on a competency checklist or a list of buzzwords. If you meet most of the requirements above, and can demonstrate your drive and capability to learn on the job, we would welcome your application.

    Remote/Hybrid Working

    We take a flexible approach to work at QuantSpark and are therefore happy to support hybrid and fully remote working. It doesn't matter where in the UK you're based, work in a way that suits you! There may be occasions when you might be expected to come to the London office, but these will be communicated with you in advance as and when necessary.

    Equal Opportunities

    We strongly believe that diversity of people and ideas is essential for the wellbeing and effectiveness of our team, and we are committed to creating a company where diversity in culture, experience and background are truly valued. Diverse and inclusive teams bring different perspectives and ideas that help better serve our clients and help us all develop. 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, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion, age, or disability.

    Benefits

    Yes, the work is hugely impactful and engaging, but it’s our talented team which is our greatest asset; we take pride in providing a collaborative environment where everyone is encouraged and supported to grow their career with a personal training budget of £6,000 per year.

    You'll experience a fun and thriving culture, with the following benefits as part of life at QuantSpark:

    • £47,000- £66,000 per annum salary (based on existing experience)
    • Huge training & conference budget to help you up-skill (£6,000/yr)
    • A thriving scale-up with plenty of opportunities for progression (bi-annual appraisals & reviews)
    • Friendly, open, and transparent culture which embraces diversity in all its shapes and forms.
    • Flexible hours and hybrid working; work from home or our office.
    • Option to work from abroad for up to one month each year
    • Top tier Private Healthcare
    • Numerous, perks, discounts, and rewards
    • 25 days holiday, plus Bank Holidays
    • Social impact / pro bono strategy projects
    • Pension contribution scheme
    • Cycle to work scheme
    • Optional monthly socials, dinners, and fun nights out
    • A fully stocked supply of breakfast, fruit, and refreshments for the days when you are in the office
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