Curve Analytics - Senior Data Engineer at Curve Analytics

Apply Now

This Job has expired on Pro Jobs!

Aww yeah, this job has expired on Pro Jobs. Reasons could be: the employer is not accepting applications, is not actively hiring, or is reviewing applications.

Job Description:

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, grow your cloud architecture and engineering knowledge, and 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. We’re looking for someone who has a proactive attitude, is comfortable working with some ambiguity and who loves to solve problems with their inquisitive nature.

What you'll be doing:

Lead technical delivery, taking ownership of 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 out 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:

A minimum of two years’ professional experience working as a Data Engineer or similar, or equivalent demonstrable experience through a Masters/ PhD in a quantitative field
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 in software development, CI/CD pipelines and/or other DevOps practices and principles
Experience utilising social listening tools and / or search / web analytics tools

Key Requirements:

Professional working proficiency in English
Eligibility to work in the UK

We’re looking for candidates who really want to make an impact. Join us! Send us your CV and a brief covering letter in your application about why you would be a good fit for the role.

Curve is an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate on the basis of disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. All employment is decided on the basis of qualifications, merit, and business need. If you require any reasonable adjustments to be made during the recruitment process then please don’t hesitate to let us know.

Company Benefits

Competitive Salary: Salary is important and so we pay competitively versus other consultancies.
Annual Leave: 25 days holiday a year plus bank holidays.
Annual Bonus: Our Annual  Bonus is based on company and individual performance.
Generous Pension: You can expect to receive a generous pension contribution
Growth and Development: Development is at the heart of everything we do. You will be able to create a Personalised Growth Plan and get involved in our internal training. You will also get a yearly individual learning budget for training, books, courses, certifications and conferences.
Wellbeing Support: You will have access to Weekly Wellness Sessions every Wednesday and will be allocated to a People Manager for confidential support.
Cycle to Work Scheme: Save on the cost of a brand new bike with our Cycle to Work Scheme.
Hybrid Working: At Curve, you can split your time between working remotely and from our HQ.
Raising Awareness and CSR: From interactive workshops around mental health to educational presentations to Earth Day initiatives, as a team, we love to raise awareness on different topics!
Free Drinks and Snacks: In our office, you will be able to enjoy a variety of fresh fruit every week and unlimited tea and coffee to fuel up for the day!
Social Calendar: Whether it’s a quick drink at the pub after work or our annual summer party, we have a vibrant social culture with frequent social events!
Positive environment: Work in an open, respectful and inclusive environment where everyone can grow and thrive.