Life as a Data Engineer at 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.
Reporting to a Senior 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.
What can you expect from the role?
- Preparing and presenting data driven solutions to stakeholders.
- Analyse and organise raw data.
- Design, develop, deploy and maintain ingestion, transformation and storage solutions.
- Use a variety of Data Engineering tools and methods to deliver.
- Own projects end-to-end.
- 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.
What you need to have?
- Proven track record of building analytical production pipelines using Python and SQL programming.
- 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.
- Knowledge of Data Warehousing and database operation, management & design.
Nice to have
- Knowledge in container deployment.
- Experience of creating ARM template design and production (or other IaC, e.g., CloudFormation, Terraform).
- Experience in cloud infrastructure management.
- Experience of Machine Learning deployment.
- Experience in Azure tools and services such as Azure ADFv2, Azure Databricks, Storage, Azure SQL, Synapse and Azure IoT.
- Experience of leveraging data out of SAP or S/4HANA.
*No agencies please.
*Must be eligible to work in the UK, we are currently not able to provide sponsorship.
