We’re looking to add a full-time Data Engineer to our team and build on our strong data foundation. You'll have complete technical ownership of our data platform, the ideal person would be ambitious, strong technically and a great communicator.
You’ll be responsible for: Developing new ETL processes to support internal analytics - e.g. for business intelligence; On-going monitoring and maintenance for existing ETL processes. Running queries and creating dashboards to address ad hoc reporting needs. Being an advocate and expert technical owner for our data platform. Supporting the business with all data and data science related initiatives. Creating data pipelines to integrate new data sources into the data lake – e.g. from across the business and from external 3rd party data vendors;
You should apply if you: Have shipped code in high-level languages such as Python. Are a competent Python developer that appreciates software engineering best practices. Are comfortable working with relational databases such as Postgres. Can write complex SQL queries for answering management questions - i.e. be able to use efficient joins, aggregations and window functions; Have some experience in using workflow orchestration tools such as Apache Airflow; Are comfortable working with AWS managed services such as S3, Athena and DMS; and, Are self-motivated and able to operate independently. Are comfortable working in a team that deals with challenging problems. Have a tolerance for ambiguity and a willingness to get stuck-in; Have a demonstrable ability to work to very tight deadlines in an exciting and fast paced start-up environment. Have studied Comp Sci or STEM to degree level.
If would be awesome if: You're interested in data science and machine learning; You have hands-on experience using Docker and Kubernetes; You have experience creating BI dashboards using tools such as Redash, Apache Superset or Tableau; You've had some exposure to the 'PyData stack' - i.e. Pandas, NumPy, SciKit-Learn, MatPlotLib and/or Seaborn; and, You know how to manage data and compute services on AWS using infrastructure-as-code - e.g. AWS CloudFormation templates and/or Terraform.
Benefits Competitive compensation (base + equity); Flexible and remote working opportunities. A compelling mission, to simplify lending for an underserved segment of society; and An exceptional team, bringing diverse experience from the worlds of technology, strategy consulting, banking, private equity, hedge funds and credit.