Job Description

About Movar

 

At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we’ve been helping companies of all sizes improve the way projects are delivered.

 

Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals—all seeking to improve the way projects are delivered.

 

Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery.

 

We’re proud to have been named Winners of the Global Project Controls Innovation of the Year Award 2024.

 

Why Join Movar?

 

Movar is in an exciting period of growth, and there’s never been a better time to be part of our journey. We’re building something special—scaling our business while staying true to our people-first approach.

 

At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we’re keen to build a team that is as ambitious as we are.

 

Our IDEAL Values:

 

• Integrity – We do the right thing, always.
• Drive – We push boundaries and strive for excellence.
• Empathy – We care deeply about our people and clients.
• Adaptability – We embrace change and thrive in it.
• Loyalty – We stand by each other and our mission.

 

 

Job Summary.

 

About the Role:

Movar is seeking a Graduate Data Engineer to join our Data & AI team and develop expertise in building cloud-based data systems. You will work alongside experienced engineers to design and implement data pipelines that support analytics and AI across major infrastructure programmes. This role offers excellent opportunities to learn modern data engineering practices whilst contributing to meaningful projects from day one. 

 

Core Responsibilities: 

 

·        Assist in developing and maintaining data pipelines using Azure Data Factory and related services. 

·        Support ETL/ELT workflow implementation under supervision of senior engineers. 

·        Learn to work with cloud data storage, including Azure Data Lake and SQL Server. 

·        Participate in data quality monitoring and troubleshooting activities. 

·        Document technical processes and contribute to team best practices. 

·        Develop proficiency in Azure cloud technologies through hands-on project work. 

 

Technical Stack:

 

Core:

 

·        Azure Data Factory basics,

·        SQL Server,

·        Azure Data Lake Storage,

·        Python fundamentals 

 

Development:

 

·        Azure Synapse Analytics (introductory),

·        Git,

·        ETL concepts 

 

Desirable:

 

·        Databricks basics,

·        Azure DevOps,

·        cloud certifications (AZ-900, DP-900) 

 

What You'll Bring:

 

·        A degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline. 

·        Basic understanding of databases, SQL, and programming concepts. 

·        Curiosity about cloud technologies and data architecture. 

·        Strong problem-solving skills and attention to detail. 

·        Eagerness to learn and grow within a fast-paced technical environment.