At a Glance
- Tasks: Build innovative data solutions using Python, SQL, and cloud technologies.
- Company: Join Curve, a cutting-edge consultancy transforming consumer insights.
- Benefits: Competitive salary, 25 days holiday, generous pension, and health benefits.
- Other info: Enjoy a dynamic culture with growth opportunities and team events.
- Why this job: Make an impact with data while collaborating with talented teams.
- Qualifications: Bachelor's degree in relevant field and strong programming skills required.
The predicted salary is between 63000 - 77000 £ per year.
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, Py Spark & 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 Open AI, 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 No SQL)
- 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 Dev Ops 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.
- #J-18808-Ljbffr
Data engineer in consumer analytics in London employer: Curve Analytics
At Curve Analytics, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. Located in the vibrant city of London, we offer exceptional growth opportunities through mentorship and collaboration with industry leaders, ensuring that your career trajectory is as exciting as the projects you’ll be involved in. Join us to make a meaningful impact while enjoying a supportive environment that values innovation and teamwork.
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We think you need these skills to ace Data engineer in consumer analytics in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
