Senior Data Engineer

Beyond Open · verified Oct 24, 2026

On-site Taguig Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Beyond. Taguig · full-time.

Pay not stated Data Engineer salary

RoleData Engineering

SenioritySenior

LocationTaguig

WorkplaceOn-site

EmploymentFull-time

PostedOct 21, 2026 · 3d ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Maintain automated pipelines for data ingestion, transformation and storage, keeping data workflows running reliably
Investigate data platform escalations, arrange patches or fixes, and maintain models used for analytics and reporting
Check data infrastructure, pipelines and machine-learning models for availability, accuracy and performance
Work with customers quarterly to confirm requirements, then scope and plan requested changes
Document managed-service processes and team knowledge, while improving practices and mentoring colleagues

What you bring

You have strong Python skills and have built or maintained data pipelines and automated data workflows
You can query and work with large datasets using SQL, especially BigQuery SQL
You have worked with GCP or another major cloud platform, plus version control such as Git
You bring client-facing experience and can turn business needs into technical specifications
You communicate fluently in written and spoken English and are willing to mentor junior teammates

Who this fits

This senior role suits someone comfortable advising customers on technical challenges and coordinating with delivery, customer engineering and Google teams. The listing describes a hybrid arrangement with two to three office days, despite the location field marking the role onsite. Customer visits may be needed, and the role includes mentoring and coordinating more junior colleagues.

From the employer

About The Role

Responsible for creating and maintaining the knowledge materials for the scope of the team, regarding delivery on MSP customers.
Act as a trusted advisor to customers, developing a deep understanding of their technical challenges and leveraging GCP technologies, patterns and practices to address them effectively.
Work closely with the delivery teams, Google, and customer engineering teams to:

Understand and use repeatable and consistent technology stacks across our customer projects.
Help document and implement managed service processes that are aligned with a project's technology stack, and customer requirements.
Follow & improve if applicable the best practices, processes and procedures relevant to the team’s activity.

Ability and willingness to upskill and mentor colleagues, in order to ensure a smooth delivery across teams.
Possibility to represent Qodea in the relationship with Google or customers. Availability for potential customer visits based on the needs.
Handle customer escalations and facilitate any patches or fixes as needed to resolve any issues relating to their data platform.
Investigate issues in and maintain data models to support analytics and reporting
Monitor and maintain data infrastructure to ensure availability, correctness and performance
Perform regular checks to ensure data pipelines and ML models are working correctly.
You’ll collaborate with the customer on a quarterly basis to ensure all requirements continue to be met.
Scope and plan implementation of any customer changes/requirements
Maintain automated data pipelines to support data ingestion, ETL, and storage

Requirements

What Success Looks Like

Experience with Google Cloud Platform (GCP) or other major cloud providers
Strong experience in Python with demonstrable experience in developing and maintaining data pipelines and automating data workflows..
Proficiency in SQL, particularly BigQuery SQL for querying and manipulating large datasets.
Experience with version control systems (e.g., Git).
Strong expertise in Python, with a particular focus on libraries and tools commonly used in data engineering, such as Pandas, NumPy, Apache Airflow.
Experience with data pipelines, ELT/ETL processes, and data wrangling.
Dashboard analytics (PowerBI, Looker [Studio] or Tableau) experience
Worked in a client facing role previously and ability to communicate and translate business requirements into technical specifications.
Collaborative, proactive, logical, methodical, and attentive to detail
Willingness to mentor and coordinate more junior members of the team.
A can do attitude and team player
Excellent English, written and verbal

Benefits

We believe in supporting our team members both professionally and personally. Here's how we invest in you:

Compensation and Financial Wellbeing

Competitive base salary.
De Minimis Allowance.
13th Month Pay: Equivalent to one month’s base salary, paid every December.

Health and Wellness

Medical Insurance: HMO coverage for the employee plus up to two dependents (employer-paid).
Sick Leave: 15 paid days per year, pro-rated from the start date.

Work-Life Balance and Growth

Annual Leave: 28 days per calendar year (January 1 – December 31), pro-rated based on start date.
Birthday Leave: An extra paid day off for your birthday.
Learning Leaves: Ten paid learning days per year.
Philippine Public Holidays: Statutory holidays are included.
Bereavement Leave: 3 paid days.
Parental Leave: Maternity or Paternity leave.
Flexible Work Arrangement: Hybrid model (two to three days in the office).
Peer Recognition: 100 Bonusly points per month for peer recognition.

Diversity and Inclusion

At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.

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