Technical Lead - Data Engineer

trinity consulting services pte. ltd.

Singapore

On-site

SGD 120,000 - 170,000

Full time

14 days+
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Job summary

Trinity Consulting Services Pte. Ltd. seeks a senior BI lead to design, develop, and maintain large-scale Microsoft BI solutions for enterprise environments, with emphasis on data warehousing, ETL pipelines, and reporting layers.

You will own solution design, perform code reviews, and mentor junior team members while collaborating across regulated industries. Strong knowledge of SDLC/Agile is essential and experience with open-source pipelines is advantageous.

Qualifications

  • Bachelor's degree in Computer Science, IT, Engineering, or a related field with a demonstrated continuous learning ethos.
  • Minimum 10 years of hands-on experience in the design, development, and maintenance of large-scale Microsoft BI solutions in enterprise environments, ideally within banking, financial services, or a similarly regulated industry.
  • Proven experience delivering end-to-end BI solutions from requirements gathering through to production support, across multiple concurrent business domains.
  • Demonstrated experience in a technical lead or senior individual contributor capacity, including solution design ownership, code reviews, and team mentoring.
  • Solid understanding of SDLC and/or Agile/Scrum development frameworks and methodologies.

Skills

Solution design
Team mentoring
End-to-end BI
SDLC/Agile

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

SSIS
SSRS
Power BI
SSAS Tabular
SQL Server
Azure DevOps
Airflow
Spark/PySpark
dbt

Job description

Core qualifications
  • Bachelor's degree in Computer Science, IT, Engineering, or a related field with a demonstrated continuous learning ethos.
  • Minimum 10 years of hands-on experience in the design, development, and maintenance of large-scale Microsoft BI solutions in enterprise environments, ideally within banking, financial services, or a similarly regulated industry.
  • Proven experience delivering end-to-end BI solutions from requirements gathering through to production support, across multiple concurrent business domains.
  • Demonstrated experience in a technical lead or senior individual contributor capacity, including solution design ownership, code reviews, and team mentoring.
  • Solid understanding of SDLC and/or Agile/Scrum development frameworks and methodologies.
Must-have qualifications
  • SQL Server (2017, 2019, 2022): Deep expertise inthe database engine, query optimisation, indexing strategies, and complex dataretrieval and manipulation at scale.
  • ETL Development: Proficient in designing andbuilding robust, large-scale ETL pipelines using SSIS, including customscripting with C# for advanced data manipulation tasks; experience with BIMLfor automated SSIS package generation is a strong advantage.
  • Reporting & Visualization: Hands-on experience developing enterprise reports and dashboards using SSRS and Power BI, including Power BI Service, row-level security, and deployment pipelines.
  • SSAS & Analytical Modelling: Strong expertise in SSAS Tabular model development; proficient in DAX and MDX for complex analytical calculations and KPI modelling.
  • Data Warehousing & Architecture: Strong command of data warehouse design principles, including dimensional modeling (star/snowflake schemas), data marts, slowly changing dimensions, and data lineage—with experience maintaining and evolving large-scale DWH environments.
  • Open-Source Data Pipelines: Hands-on experience building and maintaining data pipelines using open-source frameworks such as Apache Airflow, Apache Spark / PySpark, or dbt, complementing the core Microsoft BI stack.
  • Broader Database & DWH Platforms: Working experience with non-Microsoft database and DWH platforms such as PostgreSQL, MySQL, Snowflake, Amazon Redshift, or Google BigQuery, demonstrating versatility across data ecosystems.
  • CI/CD & DevOps: Experience implementing Continuous Integration/Continuous Deployment pipelines using Azure DevOps or equivalent tooling, including automated testing and release management for BI artifacts.
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