Data engineer in consumer analytics

Curve is a next-gen insights, analytics and technology consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities. Digital consumer data is powerful; it's big, it's real, and it's always updating.

• Build innovative data solutions in Python, PySpark & SQL across Databricks, Snowflake, AWS and more
• Support the development and rollout of industry first global analytics programmes
• Develop and deploy automated code pipelines, from data acquisition, owning transformation and supporting data modelling
• Help to productionise machine learning models and integrate leading APIs from OpenAI, GCP, Microsoft and other open source solutions
• Work closely with great programme teams - project lead, data scientists and analysts – and interface with client technology counterparts
• Identify ways to improve data reliability, processing efficiency and quality of our data output
• Produce detailed documentation and champion code quality
• Interrogate rich data sources such as social, search, surveys, reviews, clickstream, sales, connected devices and beyond
• Identify and explore opportunities to acquire new data sources that deliver innovative perspectives to our clients

• Bachelor’s degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline
• Experience designing, building and maintaining SQL databases (and/or NoSQL)
• Experience with designing efficient physical data models/schemas and developing ETL/ELT scripts
• Strong python and other programming skills (Java and/or Scala desirable)
• Experience developing data solutions in cloud environments such as Azure, AWS or GCP – Azure Databricks & Snowflake experience a bonus
• Strong SQL background
• Some exposure to big data technologies (hadoop, spark, presto, etc.)
• Будет плюсом: Experience with APIs; Experience with Data Science and / or NLP; Data & Solution Architecture understanding; Experience of software development, CI/CD pipelines and/or other DevOps practices and principles; Experience utilising social listening tools and / or search / web analytics tools

• We offer a competitive salary, that reflects your talent and expertise in accordance with industry standards.
• 25 days holiday a year plus bank holidays.
• Our Annual Bonus is based on company and individual performance.
• You can expect to receive a generous 8% employers’ pension contribution.
• Access our Cycle to Work Scheme and prioritise your health with our comprehensive AXA Private Healthcare Plan and 24/7 Employee Assistance Programme.
• You will also be assigned a dedicated People Manager for confidential discussions about your work life.
• Split your time between working remotely and from our London HQ.
• You will be able to create a Personalised Growth Plan and get involved in our internal trainings.
• You will also get a yearly individual learning budget for training, books, courses, certifications, and conferences.
• Be part of a dynamic company culture with frequent team activities, company events and socials that foster a strong sense of community among our diverse team.