Data Solutions Architect AWS

5 days ago

London, Greater London, United Kingdom Curveanalytics Full time
About Curveanalytics

We're a next-gen insights and analytics consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities.

What We Do

We transform data from various sources into fresh insights for our clients, helping them build better products and brands, and deliver effective marketing to consumers.

Our Expertise

Our software, machine learning, and AI are key to delivering impact, centred on:

  • Natural Language Processing, GPT & other LLMs: uncovering trends, themes, and patterns from large text-based datasets.
  • Marketing Data Science & Personalisation: using first-party consumer data to understand client consumer bases and build personalisation models.
  • Analytics Engineering & Data Architecture: data engineering across tools to integrate leading technologies into optimised data models and ecosystems.
  • Software Engineering: full-stack expertise to build, maintain, and support internal and externally facing Software & Data as a Service solutions.
About the Job

You'll work on a mix of small analytics proof of concepts and larger projects, pushing the boundaries of what we can do with data, finding novel data sources and APIs, and enriching them with leading analytics, data science, and AI methods.

Responsibilities:

  • Build innovative data solutions that drive business value.
  • Develop and deploy automated code pipelines for data acquisition, cleaning, preparation, and visualisation.
  • Help produce detailed documentation and champion code quality.
  • Work closely with programme teams and interface with client technology counterparts.

Requirements:

  • Bachelor's degree or higher in Computer Science, Statistics, Maths, or a related field.
  • Strong Python skills, with experience in Java and Scala desirable.
  • Proficiency in SQL and big data technologies (Hadoop, Spark, Presto).

Salary Estimate:$120,000 - $170,000 per year, based on industry standards and location.

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