Senior Data Engineer, Blend

• We are looking for someone who is ready for the next step in their career and is excited by the idea of solving problems and designing best in class
• However, they also need to be aware of the practicalities of making a difference in the real world – whilst we love innovative advanced solutions, we also believe that sometimes a simple solution can have the most impact
• Our Data Engineer is someone who feels the most comfortable around solving problems, answering questions and proposing solutions
• We place a high value on the ability to communicate and translate complex analytical thinking into non-technical and commercially oriented concepts, and experience working on difficult projects and/or with demanding stakeholders is always appreciated
• Proven track record of designing, building, deploying an analytical data infrastructure
• Working knowledge of large-scale data such as data warehouses and their best practices and principles in managing them
• Experience with development, test and production environments and knowledge and experience of using CI/CD
• ETL technical design, development and support
• Advanced level understanding, both conceptually and in practice of Python
• Traditional relational database and distributed data lake architecture experience
• Advanced SQL skills both conceptually and in practice
• Experience of build and delivering a solution in at least one of the cloud platforms (AWS, Azure or GCP)
• Good understanding of enterprise coding best practices as well as general CI/CD practices
• Top tier Git practices with experience managing repositories with many contributors
• Self-starter and strong interpersonal skills
• Effective communication and coaching skills

Desirable

• Reporting to a Lead Data Engineer and working closely with the Data Science and Business Development teams, this role will be responsible for driving high delivery standards and innovation in the company
• Typically, this involves delivering data solutions to support the provision of actionable insights for stakeholders
• Own tasks end-to-end and lead on project delivery and project governance
• Management of Data Engineer(s)
• Preparing and presenting data driven solutions to stakeholders
• Design, develop, deploy and maintain ingestion, transformation and storage solutions
• Use a variety of Data Engineering tools and methods to deliver
• Contributing to solutions design and proposal submissions
• Supporting the development of the data engineering team within Blend
• Maintain in-depth knowledge of data ecosystems and trends
• Mentor junior colleagues
• Contributing to proposal submissions and business development initiatives under the direction of the Leadership team