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- Tasks: Design and build innovative data pipelines in the cloud, transforming consumer data into insights.
- Company: Join Curve, a fast-growing tech consultancy revolutionising data analytics with AI.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Be at the forefront of data engineering and make a real impact on client success.
- Qualifications: Bachelor's degree in relevant field and strong programming skills, especially in Python.
- Other info: Dynamic start-up environment with rapid growth and exciting projects.
The predicted salary is between 30000 - 42000 £ per year.
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. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data from sources such as Social, Reviews, Search, and broader marketing and sales data. These reveal fresh insights for our clients; helping them to build better products and brands, to deliver effective marketing to consumers.
Our software, machine learning and AI are key to how we deliver impact, centred on:
- Natural Language Processing, GPT & other LLMs: unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and empower consumer facing businesses and their insights & analytics functions.
- Marketing Data Science & Personalisation: using first party consumer data to understand each client’s consumer base, building personalisation and other machine learning models to better engage with and excite consumers.
- Data Engineering & Data Architecture: data engineering across a variety of tools to integrate these leading technologies into optimised and efficient data models and ecosystems, feeding into best-in-class analytics dashboards, marketing activation and front-end platforms.
- Software Engineering: full stack expertise to build, maintain and support internal and externally facing Software & Data as a Service solutions, in AWS, that accelerate delivery and unlock deeper insights for our clients.
As a start-up, we can move faster than most companies and do things differently. We have experienced rapid growth so far and we’re looking for a Junior Data Engineer to join our growing team.
ABOUT THE ROLE
You will play a crucial role in designing, building and productionising innovative data pipelines, in the cloud, from scratch. You’ll work on a mix of small analytics proof of concepts and larger projects, both of which push the boundaries of what we can do with data; finding and using novel data sources and APIs, and enriching them with leading analytics, data science and AI methods.
Your role will be twofold. You’ll be working directly with our London-based client-base, as well as helping to shape the future of our fast-growing start-up. We’ll let you challenge yourself, from your core of data engineering to support our data science and dashboard visualisation work, to grow your cloud architecture and engineering knowledge, and to understand the business and strategic impact of your great engineering work – to whatever extent suits you.
WHAT YOU’LL BE DOING
- Build innovative data solutions.
- Support the development and rollout of an industry-first global analytics programme.
- Develop and deploy automated code pipelines, from data acquisition through cleaning and preparing data for modelling, through to visualisation.
- Help to productionise machine learning models.
- Work closely with a great programme team – 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.
- Deploy pipelines in cloud environments and develop as a cloud technologist, as our world becomes increasingly reliant on cloud technologies.
- 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.
WHAT WE’RE LOOKING FOR
- Bachelor’s degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline.
- Strong Python and other programming skills (Java and/or Scala desirable).
- Strong SQL background.
- Some exposure to big data technologies (Hadoop, spark, presto, etc.).
NICE TO HAVES OR EXCITED TO LEARN:
- Some experience designing, building and maintaining SQL databases (and/or NoSQL).
- Some experience with designing efficient physical data models/schemas and developing ETL/ELT scripts.
- Some experience developing data solutions in cloud environments such as Azure, AWS or GCP – Azure Databricks experience a bonus.
30 minute video interview with the People & Operations Team, 45 minute technical video interview with one of our Senior Data Engineers, Final interview with our Partner, Head of Technology.
Get to know Curve's journey and meet some of the minds fuelling our passion.
Junior Data Engineer in London employer: Curveanalytics
Contact Detail:
Curveanalytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, whether they're personal or academic. This gives you a chance to demonstrate your abilities and passion for data engineering beyond just your CV.
✨Tip Number 3
Prepare for those interviews! Research Curve and understand their approach to data solutions. Be ready to discuss how your skills align with their needs, especially around cloud technologies and data pipelines.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Curve.
We think you need these skills to ace Junior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Data Engineer role. Highlight your relevant skills in Python, SQL, and any big data technologies you've worked with. We want to see how your experience aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our innovative projects. Let us know why you're excited about joining Curve and how you can help us unlock consumer opportunities.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from your studies, we love seeing practical examples of your skills in action. It helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, you’ll get to explore more about Curve while you’re at it!
How to prepare for a job interview at Curveanalytics
✨Know Your Data Engineering Basics
Brush up on your data engineering fundamentals, especially around Python and SQL. Be ready to discuss how you've used these skills in past projects or coursework, as this will show your practical understanding of the role.
✨Familiarise Yourself with Cloud Technologies
Since the role involves deploying pipelines in cloud environments, make sure you understand the basics of AWS, Azure, or GCP. If you have any hands-on experience, be prepared to share specific examples of how you've used these platforms.
✨Prepare for Technical Questions
Expect technical questions during the interview, especially in the second round. Practice coding problems related to data manipulation and pipeline creation. Websites like LeetCode or HackerRank can be great for brushing up on your skills.
✨Show Your Passion for Innovation
Curve is all about pushing boundaries with data. Be ready to discuss any innovative projects you've worked on or ideas you have for using data in new ways. This will demonstrate your enthusiasm for the role and the company’s mission.
