Curve Analytics - Lead Data Engineer at Curve Analytics

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Job Description:

About the role:

Our technology team is roughly 15 strong. You’ll lead the 8+ Data Engineers within that growing team and help provide technical leadership and accountability across the technology consulting work that we do. This will require a combination of strong technical understanding, an aptitude and excitement to lead, mentor and guide others.

Day-to-day you’ll work across a mix of our clients’ cloud environments (Azure, Snowflake) and our own AWS-centric infrastructure, working in Python, PySpark and SQL. This will cover 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, technologies and methods, to serve our clients with great data, analytics and ultimately business value.

Our clients love the work we do, and we need someone who can take the current methods, offerings and technologies and make them even better. Over time, this is likely to mean taking a more strategic lens on what data work we do, how we hire and grow, as well as building relationships with technical client counterparts; reporting directly into the Leadership team of our company.

What you’ll be doing:

Lead technical delivery, taking ownership for designing and building innovative data solutions, including managing teams of Data Scientists & Engineers
Design innovative data solutions, feeding in Data Architecture, modelling and solution architecture experience
Work with a mix of public cloud services, from a core of Python and PySpark in Azure, to bring together best-in-class technologies to meet our client's needs
Support in setting the direction and vision of the Data Engineering part of our business, putting in place frameworks and guidance to support colleagues in reaching this vision
Shape the development and rollout of cutting-edge data, data science&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
Work closely with a great programme team - project lead, data scientists and analysts – and interface with client technology counterparts
Review code assets, documentation, and champion quality in everything we do
Identify and explore opportunities to around new data sources, use cases, methods and technologies that deliver innovative perspectives to our clients
Work with increasing autonomy to shape the data engineering 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
4+ years 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
Experience with designing and building impactful Machine Learning solutions and - sustaining them in live environments-
Strong Python, SQL and other programming skills (Spark/Scala desirable)
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.
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

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.