Senior Data Engineer

Curve is a next-gen insights and analytics 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 transform data from sources such as Social, Reviews, Search, and Web to reveal fresh insights for our clients; helping them to build better products and brands, and 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.
• Analytics 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 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 Senior Data Engineer to join our growing team.

ABOUT THE ROLE

You’ll 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 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 and to support the development of our great Junior Data Engineers. You’ll lead the delivery of development projects, and use your experience to increasingly guide our technology work and people.

We’ll let you challenge yourself, from your core of data engineering to support our data science and DevOps 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.

You should be passionate about developing industry-first data science and analytics capabilities and have an innovative and creative mindset.

WHAT YOU’LL BE DOING

• Lead technical delivery, taking ownership for designing and building innovative data solutions.
• Work with a mix of cloud services (largely AWS and Snowflake), from a core of Python, PySpark and SQL, to bring together best-in-class technologies to meet our clients’ needs.
• Shape the development and rollout of cutting-edge analytics programmes, providing technical expertise and leadership skills.
• 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.
• Work with increasing autonomy to shape the data engineering and technology work we do now and in the future.

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.
• Professional experience developing data solutions in cloud environments such as Azure, AWS or GCP – Azure Databricks experience a bonus.
• Experience with designing efficient physical data models/schemas and developing ETL/ELT scripts.
• Strong Python and other programming skills (Spark/Scala desirable).
• Experience both using and building APIs.
• Strong SQL background.
• Some exposure to big data technologies (Hadoop, Spark, Presto, etc.).
• Works well collaboratively, and independently, with a proven ability to form and manage strong relationships within the organisation and clients.
• Ability to support others and clients in understanding and applying technical best practice.
• You proactively identify issues and opportunities for our code, methods, practices and team to be better and resolve them.

NICE TO HAVES OR EXCITED TO LEARN

• 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.

Get to know Curve's journey and meet some of the minds fuelling our passion.

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