Senior Data Engineer, Curve Analytics
£55-80k
2-3 days a week in office (Holborn, London)
Data, Analytics & Insights Consultancy
Be an early applicant
Data, Analytics & Insights Consultancy
21-100 employees
Be an early applicant
£55-80k
2-3 days a week in office (Holborn, London)
21-100 employees
Company mission
We use the data generated by real people online, combined with best-in-class AI and deep consumer understanding, to better understand emerging needs, accelerate innovation, and drive growth.
Role
Who you are
- Bachelor’s degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline
- 3+ professional experience developing data solutions in cloud environments such as Azure, AWS or GCP – 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
- Exposure to big data technologies (Spark, Hadoop, 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
Desirable
- Experience of Solution, Integration and Data Architecture design
- Experience utilising consumer datasets such as eCommerce, CRM, Social Media
- Experience of Object Oriented Programming, CI/CD pipelines and broader DevOps technologies and practices
What the job involves
- Shape technical delivery; taking ownership for designing and building innovative data solutions, and for the success of the people you’re coaching and managing
- Work with a mix of cloud services (majoring in Databricks and Azure, alongside AWS and Snowflake)
- Develop and deploy automated ETL/ELT pipelines using Python, PySpark and SQL, to bring together best-in-class technologies to meet our clients' needs
- Help to deploy machine learning models and AI capabilities
- Work closely with a great programme team - project lead, data scientists and analysts – and interface with client technology counterparts
- Identify ways to improve reliability, processing efficiency and quality of our data and model outputs
- Work alongside Architects, and hone cloud and data architecture skills to shape what and how we build
- 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
Application process
- 30 minute video interview with the People & Operations Manager
- 45 minute technical video interview with our Associate Partner, Technology
- Final interview with our Partner, Head of Technology
Salary benchmarks
Our take
Businesses can benefit hugely from leveraging the value of their data. However, many don't know how to. Curve Analytics solves this problem by acting as a partner to businesses, providing them with analytics strategy and transformation services.
Curve is headed up by two former consultants, and combines business expertise with leading analytics technology. Their solutions work across a range of cloud platforms including Google Cloud and Dataiku, meaning businesses can operate on their existing platforms.
Curve's impressive consulting credentials and flexibility have allowed it to grow quickly. Their ability to cater to businesses at every stage of their analytics journey, from research and insights to large analytics transformation initiatives, will serve the company well in the years to come.
Freddie
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Company benefits
- Competitive Salary: We offer a competitive salary, that reflects your talent and expertise in accordance with industry standards. We also conduct quarterly pay reviews throughout the year.
- 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 8% employers’ pension contribution.
- Health and Wellbeing: 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.
- Cycle to Work Schemes: Save on the cost of a brand new bike through the C2W scheme
- Hybrid Working: Split your time between working remotely and from our London HQ.
- 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 trainings. You will also get a yearly individual learning budget for training, books, courses, certifications, and conferences.
- Vibrant Company Culture: 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.
Company HQ
Holborn, London, UK
Leadership
Alicia Dean
(Co-Founder & Co-CEO)Named as two of the most ambitious business leaders in the UK, as part of LDC Top 50.
James Hanson
(Co-Founder & Co-CEO)Named as two of the most ambitious business leaders in the UK, as part of LDC Top 50.
Share this job
View 2 more jobs at Curve Analytics