Senior Data Engineer

  • Full-time

Company Description

Forth Point is a Data Science and Data Engineering company headquartered in Edinburgh UK with plans to grow a large team across EMEA in the next 5 years. 

The core aim of the business is to create the largest UK independent data and analytics specialist focused on delivering against the promise of the 4th industrial revolution. We believe that data that doesn't drive value is lost opportunity, and we are passionate about helping our clients drive better outcome through applied analytics.  

The promise of the industry 4.0 is that connectivity between devices has the potential to deliver huge gains in productivity, efficiency, and innovation but without harnessing the power of this interconnected world, that promise will never be realised.  

We are obsessed with delivering world class solutions to our customers through our network of industry leading partners. If this sounds like your kind of challenge, we would love to hear from you. 

Job Description

Life as a Senior Data Engineer at Forth Point  

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 Forth Point. 
  • 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. 
  • Expert level understanding, both conceptually and in practice of Python. 
  • Traditional relational data base and distributed data lake architecture experience. 
  • Expert SQL skills. 
  • Excellent understanding of different cloud systems such as Azure, AWS and Snowflake. 
  • Good understanding of enterprise coding best practices as well as general CI/CD practices. 
  • Expert level code architecture experience. 
  • 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. 

Additional Information

*No agencies please.