JOB SUMMARY

Francis Dinsmore Limited is seeking a highly skilled and detail-oriented Data Engineer for a 6-month contract. The primary responsibility of this role is to manage and execute the complete data transfer from our legacy Management Information System (MIS) to a new cloud-based Microsoft Dynamics MIS. The ideal candidate will possess a strong understanding of data structures, ETL processes, and validation techniques to ensure a seamless and accurate transition, whilst working with the Microsoft Dynamics Business Central integration team.

REQUIRED SKILLS AND EXPERIENCE

• Proven experience as a Data Engineer, with a strong background in data warehousing, ETL development, and data migration projects.
• Direct experience with Microsoft Dynamics data structures and migration tools is highly preferred.
• Proficiency in at least one modern programming language for data engineering (e.g., Python, Java, SQL).
• Solid understanding of relational and non-relational databases.
• Experience with a range of data pipeline tools and technologies (e.g., Apache Airflow, dbt, Talend).
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
• Strong problem-solving skills and the ability to work independently on a complex project.

DESIRED QUALIFICATIONS

• Experience with e-commerce data and systems.
• Familiarity with enterprise-level MIS platforms.
• Knowledge of data governance and security principles.
• Certification in Microsoft Dynamics 365 or related technologies.
• Bachelor’s degree in Computer Science or equivalent.
  Job Type: Fixed term contract
  Contract length: 6 months
  Pay: From £2,500.00 per month

Benefits:

• Free parking
• On-site parking
• Work from home

Experience:

• Data science: 3 years (preferred)

Licence/Certification:

• Driving Licence (preferred)

Work Location: Hybrid remote in Ballymena BT42 3J

• Data Migration: Design, develop, and implement robust ETL (Extract, Transform, Load) processes to transfer data from the existing source systems to the new MIS.
• Data Quality: Work closely with stakeholders to understand data requirements and ensure data integrity and quality throughout the migration process.
• System Integration: Collaborate with the project team to integrate the new MIS with existing business systems and data sources.
• Documentation: Create comprehensive documentation for all data migration processes, data models, and system architecture.
• Troubleshooting: Identify and resolve data-related issues, including data discrepancies and performance bottlenecks.
• Maintenance: Develop automated monitoring and maintenance plans for the data pipelines to ensure a smooth transition and reliable ongoing data flow.