Lead Data Engineer

3 weeks ago

Taguig, Philippines Career Connect Full time

We’re looking for people bold enough to help us build a world that works smarter, faster, and better for everyone.

As Lead Data Engineer, you will play a pivotal role in shaping our data architecture, engineering scalable data pipelines, and leading efforts to transform raw data into actionable insights. You will mentor a growing team of engineers while working closely with cross-functional leaders to ensure data drives every critical decision at Compant and our portfolio companies.

What You’ll Do

  • Architect, build, and optimize robust data pipelines and ETL processes using Azure Data Factory and Databricks
  • Lead the design and implementation of enterprise-grade data warehousing solutions (e.g., Snowflake)
  • Guide the adoption of best practices in data engineering, cloud infrastructure, and DevOps
  • Extract and transform data from varied sources (e.g., social media platforms, analytics tools) to support advanced business intelligence efforts
  • Lead the development of dynamic dashboards and data visualizations using Power BI or Tableau, driving high-impact insights
  • Manage and mentor a team of data engineers, ensuring alignment with business priorities and engineering excellence
  • Collaborate with Data Analysts, Product Managers, and Business Leaders to enable data-driven decision-making across the organization
  • Oversee database development activities including stored procedures, views, and functions using Microsoft SQL Server and other technologies
  • Continuously evaluate emerging tools and technologies to enhance data infrastructure scalability, reliability, and performance
Requirements
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field
  • 5+ years of experience in data engineering, with at least 1–2 years in a leadership or senior capacity
  • Expertise in building scalable cloud-based data pipelines and analytics infrastructure (preferably in Azure)
  • Advanced proficiency in Python, ANSI SQL, and working knowledge of Snowflake and Microsoft SQL Server
  • Solid understanding of data modeling (e.g., star schema, Kimball methodology) and data warehousing principles
  • Hands-on experience with BI tools such as Power BI or Tableau
  • Familiarity with CI/CD pipelines, DevOps, and agile development methodologies
  • A proactive, collaborative mindset with a passion for mentoring, problem-solving, and driving innovation through data
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