Senior Data Developer

GRADE: SENIOR OFFICER

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The Section  

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The FIAU is seeking to strengthen its Data Management & Analytics section through the recruitment of a Product Owner. The section is tasked with:

• The administration of the Centralised Bank Account Register (CBAR) - a data collection and retrieval system for information on bank accounts
• The management of data as an asset from which the FIAU can derive ongoing insight
• The analysis of data across different domains to support in the compilation of statistics and risk analysis

The Role

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As a Senior Data Developer within the Data Management & Analytics section, the candidate will be primarily responsible for assisting in data warehousing initiatives, and other related projects. This may include: 

• Assist in the development of a data warehouse solution, including:
  - Implementing data pipelines for optimal extraction, loading and transformation of data (ETL) from a variety of sources
  - Developing the data warehouse schema and data model
  - Maintaining version control
  - Testing data pipelines to ensure proper functioning of the warehouse
  - Monitoring data quality
• Understand business logic and data definitions from source systems and ensure these are properly reflected within the data warehouse documentation
• Work closely with data analysts and other stakeholders to define data requirements and optimise data pipelines
• Collaborate with the in-house technology team, system owners, and other stakeholders in line with section’s remit

Qualifications & Requirements

•  An MQF Level 6 qualification in Computer Science, Data Science, Statistics, Analytics or other relevant fields, coupled with at least 4 years’ experience relevant to this post ; or
• ​An MQF Level 5 qualification in Computer Science, Data Science, Statistics, Analytics or other relevant fields coupled with at least 5 years’ work experience relevant to this post
• ​Preference will be given to candidates who possess:
  - Proven experience in data warehousing principles (including data modelling and ETL)
  - Coding skills (preferably, C# or similar) and data querying skills (preferably, T-SQL)
  - Familiarity with basic DevOps practices (including Git and CI/CD); cloud computing platforms (preferably Azure); and modern data orchestration tools (such as Data Factory and Azure Synapse)

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We Offer:

• Health & Life insurance group cover
• Work from home
• Sponsorship Training Scheme
• Training & Study Leave
• Family-friendly measures
• Team Building Events
• Free parking (first come first served)