Senior Data Engineer, London, Curve Analytics

Published 2022-08-07
Expires 2022-09-07
ID #1118058266
Senior Data Engineer, London, Curve Analytics
United Kingdom, London, London,
Published August 7, 2022

Job details:

Job type: Full time
Contract type: Permanent
Salary type: Per annum
Occupation: Senior data engineer

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Welcome to Curve Analytics We help businesses unlock consumer opportunities by realising the potential of digital consumer data. Our services include: Analytics & Data Science Development: We develop and embed analytics solutions that drive competitive advantage. These are designed around big business problems and underpinned by both digital and internal client data Digital Research and Insights: We answer strategic questions using digital data and next-gen methods to deliver inspirational insights Digital Insights Software: We design, develop and industrialise cutting-edge, user-friendly and truly novel software solutions that drive advantage through data analytics and machine learning At Curve, we believe in better - a new model for data, insights and analytics consulting. As a start-up, we can move faster than most companies and do things differently. We have experienced rapid growth so far – expanding our team from 3 to 40 people in the last 18 months and we are now looking for a great Data Engineer to join our growing team, and begin to shape the future of our Data Engineer business. 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. 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 our client's 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 Key requirements: Professional working proficiency in English Eligibility to work in the UK Benefits: Here are some of the benefits Curve employees enjoy. 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. 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.

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    Curve Analytics
    Registered on October 7, 2017


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