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
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: -\tImplementing data pipelines for optimal extraction, loading and transformation of data (ETL) from a variety of sources -\tDeveloping the data warehouse schema and data model -\tMaintaining version control -\tTesting data pipelines to ensure proper functioning of the warehouse -\tMonitoring 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: -\tProven experience in data warehousing principles (including data modelling and ETL) -\tCoding skills (preferably, C# or similar) and data querying skills (preferably, T-SQL) -\tFamiliarity 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)