Senior Data Engineer

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 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 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.