Senior Data Engineer

2 days ago

Taguig, National Capital Region, Philippines Blueberry Full time $90,000 - $120,000 per year

Introduction:

Why Blueberry?

At Blueberry, data is more than numbers, it's the backbone of every decision we make. We believe in building reliable, scalable, and secure data systems that empower every team to move faster and smarter. You'll be joining a tight-knit, high-impact tech team where your work directly shapes our products, our strategy, and our customer experience.

Description:

We're looking for a hands-on Senior Data Engineer to lead the design, optimisation, and scaling of our Snowflake data warehouse and pipelines. You'll own our data infrastructure end-to-end, from modelling and transformations to security and performance, ensuring our business decisions are built on a foundation of clean, accurate, and accessible data.

Note: At Blueberry, moving with purpose means showing up, connecting, and building momentum together. This role is based onsite in Taguig, Manila, Monday to Friday, where the real magic happens.

How You'll Make an Impact

Design, optimise, and maintain our Snowflake data warehouse and DBT transformations

Refactor legacy data models for performance and cost efficiency

Build and manage robust ETL/ELT pipelines using Python, Airbyte, AWS DMS, and AWS services

Implement data masking and security measures for safe data sharing

Develop self-service BI dashboards in Power BI and Snowflake

Partner with analysts and product owners to translate business needs into data solutions

Troubleshoot pipeline issues and resolve production incidents

Establish best practices for testing, CI/CD, and documentation

Ensure all reporting is accurate, reliable, and compliance-ready

Skills and Experiences:

Who We're Hoping to Find

5+ years' experience building and scaling data warehouses & pipelines

Deep expertise with Snowflake, DBT, AWS, and strong SQL skills

Proficient in Python for scripting and API integrations

Skilled with ELT/ETL tools like Airbyte or AWS DMS

Familiar with AWS services (Lambda, S3, IAM) and data security practices

Experience in Power BI or other BI tools

Strong communicator who can translate complex concepts for non-technical audiences

Mentor-minded, collaborative, and passionate about data quality

Extra points if you have

Experience in Financial Services, Trading, or Banking

Knowledge of risk-facing teams, LLMs, or data visualisation

Familiarity with Docker and medallion architecture

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