Data Engineer, Centre of Insights and Analytics at DSV

Main Purpose of the Role 

• This role forms part of the SCO team, who is responsible for the implementation, maintenance and cost-effective management of inventory for our clients. This role will be responsible for the design, development, and maintenance of robust data pipelines that support business intelligence, analytics, and data-driven decision-making.
• The Data Engineer works closely with the Supply Chain Analyst team to understand data needs, optimize data workflows, and ensure data quality, scalability, and security. The role also involves hands-on implementation with thorough documentation, ensuring data quality, and supporting clients post-implementation.

Tertiary Qualification  

• University Degree/College Diploma in IT or a related field.

Computer Literacy Level 

• Advanced MS Word, Excel, PowerPoint & Outlook.

Additional Computer Skills 

• ETL Tool (required) (MS SSIS)
• BI Dashboard/Visualization Tool  (required - Power BI (preferred) or QlikView or Tableau or similar)

Job Related Requirements 

• Minimum of 2 years’ experience in MS SQL (writing complex SQL with ability to optimize SQL queries, DBA knowledge).
• Advanced database querying skills (Required - Minimum of 4- 5 years).
• Strong expertise in building and maintaining data pipelines, models, and architectures (ETL/ELT).
• Proficient in SQL and working with both relational and non-relational databases.
• Good working knowledge and understanding of general infrastructure components & the Windows operating system.
• Skilled in optimizing data storage and processing for large-scale datasets.
• Familiar with system monitoring, alerting, and logging tools.
• Solid understanding of software development life cycle (SDLC) principles.
• Ability to identify inefficiencies and drive process standardization.
• Ensures high standards of data accuracy, consistency, and completeness.
• Driver’s license, own vehicle, ability and willingness to travel nationally and work long hours when needed.

Added advantages for the Role 

• Knowledge and experience of working with Inventory Optimization software (i.e. Tactix or Slim4).
• Supply Chain Optimization experience.
• Highly organized, detail-oriented, and able to multitask in fast-paced environments.
• Strong ability to work in teams and on one’s own.
• Well-presented and well-spoken in English.
• Challenge driven.
• Good time management.
• Good problem-solving ability.

Duties & Responsibilities 

• Design, implement, and support Inventory Optimization Solutions for clients.
• Develop standardized, support-friendly, and scalable technical solutions.
• Develop and optimize ETL/ELT processes to ingest data from internal and external sources.
• Implement data quality checks and validation processes to ensure accuracy and consistency.
• Monitor and troubleshoot pipelineperformance and processes on a daily basis in real time.
• Work with cross-functional teams to gather requirements and deliver data solutions that meet business needs.
• Document processes, data flows, and technical decisions for transparency and reproducibility.
• Create and optimize data models for reporting and analytics.
• Improve data storage efficiency and query performance for large datasets.
• Tune and resolve performance issues in data processing pipelines.
• Encourage teamwork and facilitate knowledge sharing across the team.
• Ensure compliance with data privacy and security standards.