Data Engineer - Must Be Security Cleared

About Makutu 

Makutu designs, builds and supports cloud data platforms. We are passionate about the role data plays in the support of our customers strategies.

We have developed our own “Analytics and Ai” assessment that enables us to engage with our clients by providing a range of Analytic and Ai services to support them on their data journey. The pathway covers: 

• Data Science Assessment 
• Data Architecture 
• Data Engineering 
• Data Visualisation 
• Data Science, AI and Gen AI

We are a Microsoft Solutions Partner (Azure Data & AI) and are busy building a talented team of Data Engineers with the relevant skills to deliver industry leading data platforms for our customers. 

This Data Engineer role is key to building and growing the in-house technical team at Makutu. The role will provide the successful applicant with the opportunity for significant career development while working with a range of large businesses to whom data is critical to their success. 

Working as a Makutu Data Engineer you will be part of a team working closely with our impressive customer base. You'll require excellent written and verbal English language and communication skills. 

Where does the role sit? 

Big growth plans are in place to build a broader and deeper technical capability with a focus on the Microsoft Azure technology stack. 

The position of Data Engineer is a key role in the new wider capability of our team. While the role is home based, occasional visits to our Head Office and customer sites will be required. 

Key responsibilities 

• Identify, design, and implement working practices across data pipelines, data architectures, testing and deployment.
• Understand complex business requirements and providing solutions to business problems.
• Understand modern data architecture approaches and associated cloud focused solutions.
• Defining Data Engineering best practice and sharing across the organisation. 
• Collaborating with the wider team on data strategy.

Typical Skills Profile and Experience

• MUST HOLD A CURRENT SC OR DV SECURITY CLEARANCE
• A relevant Bachelors degree in Computing, Mathematics, Data Science or similar (ideal but not essential).
• A Masters degree in Data Science (ideal but not essential). 
• Experience building data pipelines with modern practices including the use of cloud native technologies, DevOps practices, CI/CD pipelines and agile delivery.
• Experience with data modelling, data warehousing, data lake solutions.
• Able to communicate effectively with senior stakeholders.

Preferred Azure Certifications

• Azure Data Engineering on DP-203

Experience working with some of these technologies listed: 

• Power BI 
• Power Apps 
• Blob storage 
• Synapse
• Azure Data Factory (ADF)
• Azure Fabric 
• IOT Hub 
• SQL Server 
• Azure Data Lake Storage 
• Azure Databricks 
• Purview 
• Power Platform 
• Python