Senior Data Engineering Specialist

1 week ago


Biñan, Calabarzon, Philippines beBeeDataEngineer Full time ₱1,200,000 - ₱1,400,000
Financial Data Innovation Opportunity

We are seeking a skilled Data Engineer to play a pivotal role in our global team. As the foundational member of our new engineering function in Manila, you will be responsible for designing, building, and maintaining robust systems and infrastructure for processing and analysing large and complex datasets.

This is a unique opportunity to shape the future of our data infrastructure and processes, driving impactful projects from the ground up.

Key Responsibilities:
  • Lead efforts to recruit and mentor new team members, fostering a collaborative attitude and high-performing team environment.
  • Create performant batch and streaming data pipelines capable of handling large volumes of data in both real-time market data and batch formats (Apache Airflow, Apache Kafka, Apache Flink).
  • Utilize tools like Snowflake to construct reliable and scalable data warehousing solutions.
  • Employ Amazon Web Services (AWS) or Google Cloud Platform (GCP) to build robust and scalable cloud-based systems.
  • Improve Continuous Integration/Continuous Deployment processes using tools like Jenkins and GitLab to automate development, testing, and deployment.
  • Oversee the maintenance and monitoring of various data applications, pipelines, and databases.
  • Participate in daily stand-ups and team meetings to coordinate and collaborate on development efforts.

Experience and Qualifications:

  • 5+ years of work experience in data engineering or similar.
  • Bachelor's degree in computer science, engineering, mathematics, or a related technical field.
  • Experience hiring, mentoring, and leading junior engineers.
  • Proficiency in Python with at least one data manipulation framework (e.g. Pandas, Dask, Pyspark) and SQL; knowledge of other languages like Java, C#, or C++ is advantageous.
  • Experience with REST APIs and building scalable API data platform (e.g. FastAPI).
  • Experience with AWS, Snowflake, Kubernetes, and Airflow.
  • Experience with Prometheus, Grafana, CloudWatch for monitoring and alerting.
  • Comfortable with Linux and command line operations.
  • Understanding of ETL processes and event streaming technologies (such as Kafka, Flink, etc.).
  • Strong written and verbal communication skills, with the ability to effectively interact with both business and technical teams.


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