We help small businesses to trade with confidence
- 133 Whitechapel High Street, United Kingdom
- 2 September 2021
- www.nimbla.com
Company Information
Data Engineer required for venture-backed fintech building next-gen SME credit risk models using real time data.
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 Skills
- 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
Salary Range
£55,000 – £70,000
For more information and how to apply: https://www.nimbla.com/careers/data-engineer
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