Business Intelligence Developer

About the role

XmartPoint Technologies is seeking a Business Intelligence Developer to design, build, and maintain the data pipelines, models, and dashboards that drive business decisions. The role combines hands‑on data engineering with interactive visualisation work and includes research of emerging BI tools.

Key responsibilities

• Design, develop, and maintain interactive dashboards and reports using modern BI platforms such as Power BI, Tableau, Qlik, Looker or Superset.
• Build and optimise ETL/ELT pipelines to move data from multiple source systems into a data warehouse.
• Create and maintain dimensional data models (star/snowflake schemas) and reusable semantic layers.
• Write, tune and troubleshoot complex SQL queries, including joins, window functions, CTEs and stored procedures.
• Collaborate with business stakeholders to gather requirements and define KPIs.
• Ensure data quality through validation rules, reconciliation checks and automated testing.
• Monitor and improve performance of reports, data refreshes and scheduled jobs.
• Implement row‑level security, access controls and data‑governance standards.
• Research, prototype and evaluate new BI, ETL and data‑platform tools.
• Document data sources, transformation logic, data dictionaries and dashboard usage guides.
• Mentor junior team members and support self‑service BI adoption.

Required profile

• Bachelor’s degree in Computer Science, IT, Engineering, Statistics or equivalent practical experience.
• Minimum 2 years of professional experience as a BI Developer, Data Analyst or Data Engineer.
• At least one production‑deployed BI project that can be presented in detail.
• Strong SQL skills with experience handling large data sets.
• Hands‑on experience building ETL/ELT workflows.
• Solid understanding of data‑warehousing concepts, dimensional modelling and slowly changing dimensions.

Required skills

• Power BI, Tableau, Qlik, Looker, Superset (or equivalent BI tools)
• SQL (query optimisation, CTEs, window functions)
• ETL/ELT tools and workflow design
• Data‑warehousing and dimensional modelling (star/snowflake schemas)
• Relational databases: SQL Server, PostgreSQL, MySQL, Oracle
• Cloud data warehouses (advantageous): Snowflake, BigQuery, Redshift, Synapse