COMPANY DESCRIPTION

Are you ready to join the forefront of technology innovation with Netcompany?
As one of the fastest growing technology companies, we are disrupting the marketplace and revolutionizing the way businesses operate. Our vision is to be the leading digital challenger in Europe whilst evolving the next generation of IT consulting.
Operating across both public and private sectors, we offer a comprehensive range of services from application development and seamless cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs
Our Data Practice delivers exciting projects through data-driven, digital transformation for our customers. We support from pre-sales through to delivery and have a strong focus on solving real customer challenges and deriving true customer benefit with the ultimate goal of benefiting society and driving meaningful digital and cultural change.
Our senior data engineers will be coached to grow from both a technical and soft skills perspective, plus have the chance to progress their career through an architecture, expert, or generalist career track.

SOFT SKILLS:

• Strong stakeholder engagement, clear communication, team collaboration, and ability to work independently
• Proactive, analytical, and committed to continuous learning and innovation
• Supportive team player with mentoring and coaching experience

QUALIFICATIONS

• Cloud & Serverless: Azure (Synapse, Functions, ADF), AWS (Glue, Lambda, Athena, Kinesis, S3)
• Databases: Azure SQL, Cosmos DB, AWS Redshift, Aurora, DynamoDB
• Programming: Python, SQL (R desirable)
• DevOps & IaC: Terraform, ARM/Bicep, CloudFormation, Azure DevOps, GitHub Actions
• DataOps: CI/CD, automation, monitoring, and agile delivery
• Modelling: Kimball, Data Vault, Star Schema, Graph
• Streaming: Kinesis, Event Hubs

• Design & Development: Build scalable, serverless data solutions on Azure and AWS using tools like Synapse, ADF, AWS Glue, Lambda, and Athena.
• Pipelines & Processing: Create secure, efficient batch and real-time data pipelines with services such as Azure Data Factory and AWS Glue.
• Data Architecture: Apply advanced modelling (e.g., Kimball) and design cloud-native architectures optimised for serverless environments.
• Quality & Governance: Implement robust data governance, security, and compliance with UK regulations (GDPR, FOI, NCSC).
• Platform Engineering: Develop reusable cloud data platform components using tools like S3, Data Lake Gen2, and Logic Apps.
• Monitoring & Ops: Ensure stability of production data flows with automated monitoring (Azure Monitor, CloudWatch).
• GDS COMPLIANCE:Ensure all data engineering outputs adhere to GDS Service Standard and Technology Code of Practice. Support service assessments, audits, and documentation as required by UK government bodies.