Senior Data Engineer

Blend (previously Forth Point) is an award-winning pure play data consultancy who help people do data right through project delivery across strategy and consulting, data science and BI, and data engineering. As a trusted Data & AI partner we co-create value with clients across a wide variety of industries. Our company has made the Inc. 5000 list of Fastest Growing Companies and currently have offices in Edinburgh, the Netherlands, the US, Uruguay and India. 

By combining our teams’ expert technical knowledge with a practical approach to value creation, we deliver outcomes that make a real change for our clients. From using computer vision to remotely monitor crops to implementing a BI dashboard to help swimmers win more medals – nothing we do is designed to be left on the shelf.

Life as a Senior 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 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. 

What can you expect from the role? 

• 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.

What you need to have? 

• 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. 

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.
• Strong understanding and experience with Scala, Spark, PySpark.
• Experience of leveraging data out of SAP or S/4HANA.
• Management experience.
• Previous experience setting up code review frameworks.
• Good understanding of API connectivity.
• Proven ability to prioritize work and projects.
• Good appreciation for the Agile/Scrum methodology.
• Accustomed to working on multiple projects simultaneously.

*No agencies please.
*Must be eligible to work in the UK, we are currently not able to provide sponsorship. 

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