Data Engineer, Blend
More information about location
Business performance data & analytics
Open for applications
Business performance data & analytics
501-1000 employees
Open for applications
More information about location
501-1000 employees
Company mission
To help advance our understanding of our customers and business performance.
Role
Who you are
- 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 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
As large enterprises digitise at increasingly complex rates, data solutions and advanced analytics are becoming increasingly vital services. Bled360 is a data science solution provider helping these companies leverage the data they harness in transformative ways.
Consisting of data scientists and engineers, the company aids large enterprises in machine learning operations, AI integration and data governance. Overall, it helps to boost the efficiency of data usage.
Blend360 has also been strategically growing through the acquisition of SMEs, in part funded by its 2022 Growth Equity investment. Companies it has acquired include FutureproofAI, enhancing its service offerings and customer base. Its acquisition of Montevideo Labs also enhances its position in LatAm regions.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Company values
- Integrity
- A people-centric approach
- Growth
Company HQ
Town Center, Columbia, MD
Articles
Leadership
Patrick Hennessy
(CEO & Co-Founder)Previously Managing Director at Whitegate Capital Partners, Advisor to the CEO at Merkle and Vice President at Cornwell Data.
Tim Berry
(Co-Founder)Previously President of Merkle Europe, Senior Director of Rapp Collins Worldwide and Senior Manager at AT&T.
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