Data Engineer

London - Remote
Tech
Part-time
Full-time

The Data Engineer is key in the end-to-end delivery of the company’s data strategy by working alongside the Data Analysis, Risk and Engineering teams. This role is central to helping grow and scale of one of the UK’s most promising FinTech startups. A Barclays Techstars graduate with the backing of global insurance experts QBE, Nimbla keeps the thriving world of small business alive. On a high growth trajectory, we seek talented team members to help us build the future of small business protection. Salary £55k – £70k.

About the role

We count on you to have a direct impact on Nimbla’s success while boosting yours in the process. Passion, flexibility and drive are essential to what we do and how we do it. By joining a team where we value difference and focus on results over hours, you will gain full control over your role. Our future is bright -we’re taking Nimbla to Europe and beyond- and we’re bringing together a brilliant team to do it. So if you’re looking for the freedom to advance a game-changing business that helps SMEs trade with confidence while growing your own career, do apply.

About you

You are a highly innovative Data Engineer, driven to support TradeCrediTech and Nimbla to deliver on their Data strategy and processes. Passionate about joining a growing business you are looking for the opportunity to use your Data Engineering skills to shape the vision and the future of the organisation. You excel in an open environment where you will have the flexibility to work in a way that suits you best. With a passion for high-quality innovative businesses, you will be experienced in driving efficiency by building a data model which is scalable, flexible and adaptable and aligning data systems with business goals using Python, Reporting, data warehousing, data science and quantitative analysis techniques.

You Will

  • Work alongside the Risk and Analytics team to create and implement machine learning risk models and large scale data projects from inception to production
  • Build high quality datasets from raw data using some of the latest tools and technologies
  • Build and embed defined data models and data flows to the cloud
  • Drive large batch, streaming and machine learning applications from design to production
  • Contribute to the design, implementation and monitoring of our cloud data platform as well as innovative ways to ingest, process, store and analyse various data sources
  • Contribute to automation in the CI/CD pipelines, infrastructure management and configuration
  • Use various methods to transform raw data from multiple sources into useful data, improving quality, integrity and accessibility.
  • Develop and test architectures that enable data extraction and transformation for predictive modelling
  • Automate any repeatable and error prone data integrations and data preparation flows
  • Manipulating and cleaning data, fulfil daily ad-hoc data requests and troubleshoot difficult technical issues

Your Experience

  • Python
  • Build ETL Pipelines (e.g., Airflow)
  • Javascript
  • Build and CI/CD tools
  • Write SQL code
  • Create and implementing Rest APIs
  • GIT and GIT branching
  • BI Tools such as Looker, Qlik, Power BI, Tableau
  • Containerisation technologies
  • Google Cloud Platform (GCP): Data manipulation/transfer modules
  • Reporting, data warehousing, data science and quantitative analysis techniques.
  • Data warehousing, data modelling and the creation of meaningful data visualisations
  • Data governance (data catalog, lineage and metadata management) and automation tools
  • Rolling out new data sets, reports and dashboards with solutions that are highly available, and suitable for the consuming users and applications
  • Debug, monitor, troubleshoot and build ETL solutions/pipelines
  • Provide best practice and guidelines for managing data of different levels of complexity and maintaining data integrity
  • Operate efficiently within an Agile environment
  • Work across several functions simultaneously to achieve common goals across teams

Bonus Points For

  • Knowledge of Fin-Tech or Insur-Tech
  • Knowledge of software engineering best practices and experience on Git, Git branching strategies and its application to continuous delivery.
  • Knowledge of ML algorithms and ML engineering
  • Knowledge of Terraform or other Infrastructure-as-Code

How to apply

Please email Jobs@nimbla.com to apply.

At Nimbla We Believe In

Fairness

  • For our customers: We aim to make business a fairer place by protecting SMEs from bad debt.
  • For our team: Together, we create an environment in which everyone is comfortable developing within their roles and within the business

Learning
Aim to learn something new every day, big or small to grow personally and bring about positive change

Creativity
We each strive to be creative, support innovation and wonderful experiences to our users

Measuring Performance More Than Time

  • Work smarter rather than harder
  • Measure results rather than time

Flexible working
We are based in the comfortable and trendy ToG Whitechapel workspace, a stone’s throw from The City and we will love to see you there. Once you are familiar with our objectives and the way we work, you will also have the opportunity to work remotely.

What You Would Expect

  • A competitive salary
  • Choice of tech for your day to day work
  • Tech Purchase Scheme
  • Bike to Work Scheme
  • £1,000 personal development budget each year to spend on anything you see fit
  • Comfortable and trendy London workspace, a stone’s throw from The City
  • Free on-site gym (re-opening soon, hopefully)
  • Holidays: we offer 28 days of holiday per annum, plus bank holidays and your birthday off.

Work-Life Balance

Autonomy and Empowerment: What matters is that the job gets done and that we help each other in accomplishing our vision and goals. Once the goals are set, we trust you to achieve results the way you think is best.

Radical Candour: We all want to grow, and we help each other do so by maintaining candid, open conversations, especially when it’s hard. Be kind, and be opened and honest

Dynamic Working Hours: We trust you to establish an effective working pattern that allows you to excel in your role. This includes working from home, of course.

Learning & Development: Books, courses, and £1,000 budget to spend as you wish for your personal development.

Dogs in the Office: Fur friends are welcome in our office, they will only get spoilt with cuddles and treats

Apply now