A Technology Disrupter

A consultancy with the best team in the areas of Big Data,
Quantitative Research, High-Performance Computing,
Machine Learning and Risk Modelling.

Qualifications and Skills

  • Master’s Degree or Higher in a STEM subject.
  • A proven ability in clearly communicating complex solutions
  • Experience in Python / Scala / Java / R / SQL.
  • Experience and interest in Big Data technologies (Hadoop / Spark / NoSQL DBs) and Cloud (AWS and Azure) is a bonus.
  • Exceptional attention to detail

The Role

You’re passionate about data and the opportunity it provides to organisations. You want to understand Big Data and Cloud computing are excited about these technologies. You are a fast learner and confident that you can thrive in a fast paced environment. You are willing to learn about the design of ETL architectures and are keen to use a variety of ETL tools and techniques.

In this role, you will:

    • Plan and execute secure, good practice data integration strategies and approaches
    • Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
    • Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
    • Have a strong understanding of Information Security principles to ensure compliant handling and management of client data
DataSpartan Consultancy is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
If you need assistance or an accommodation due to a disability, you may contact us at or you may call us at +44 (0) 77 6919 4840