Data engineer in consumer analytics
Posted
Summary
Data engineer at Curve, a consumer insights and analytics consultancy in London: builds automated data pipelines and solutions in Python, PySpark and SQL on Databricks, Snowflake and AWS, helps productionise ML models, and works with client teams to analyse digital consumer data such as social, search and clickstream.
Описание
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.
Задачи
- 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
Требования
- 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
Условия
- 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.