Data Engineering Lead

2 days ago

Mandaue City, Central Visayas, Philippines beBeeEngineer Full time $100,000 - $120,000

We are seeking a seasoned professional to take charge of our data engineering efforts.

Job Description

This role involves designing, building and maintaining scalable data pipelines using Microsoft Fabric, Azure Data Factory and related Azure services. The successful candidate will work closely with architects, analysts, data modellers and business stakeholders to deliver robust data solutions.

Key Responsibilities
  • Design and implement performance-optimised and secure data workflows.
  • Collaborate with cross-functional teams to ensure scalable and efficient data delivery.
  • Develop and maintain clear and accurate technical documentation for data assets and processes.
  • Engage effectively with team members to ensure shared understanding of requirements and delivery expectations.
  • Translate business and analytical requirements into technical solutions leveraging Microsoft Fabric components and Azure services.
Requirements
  • Proven experience in data engineering, data warehousing and analytics projects, covering data ingestion, transformation, curation and delivery.
  • Strong knowledge of modern data file formats such as Delta Tables, Apache Iceberg and Parquet.
  • Proficiency in Python, Spark, Azure Data Factory and other relevant data transformation tools and frameworks.
  • Expertise in data modelling across conceptual, logical and physical layers.
  • Experience with cloud data services, preferably within the Microsoft ecosystem.
  • Hands-on experience with Microsoft Fabric, Databricks and/or Snowflake.
  • Skilled in data pipeline orchestration using Azure Data Factory and related frameworks.
  • Experience with CI/CD pipelines and DevOps practices for automated deployment and integration workflows.
  • Proficiency in Infrastructure as Code (IaC) tools such as Terraform or Bicep.
  • Solid understanding of data governance, data management practices and security considerations for cloud data platforms.
  • Competence in database performance tuning, optimisation and advanced SQL development.
  • Familiarity with testing methodologies in data engineering.
Personal Attributes
  • Mentorship: Ability to mentor and share knowledge with junior team members.
  • Consulting Mindset: Adaptability in diverse situations and managing changing priorities.
  • Communication: Strong skills in communicating clearly with team members and clients.
  • Understanding of non-functional requirements including performance, security and data privacy.
  • Passion for Data: Enthusiasm for working with data, coding and problem-solving.
  • Innovative Spirit: Drive to continuously improve and innovate pipelines and dashboards.

The ideal candidate will be part of a global digital specialist team with a strong track record of delivering scalable digital solutions. We value diversity and foster an inclusive, safe work environment, encouraging applications from underrepresented groups.

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