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Data Engineer - Implementation

The Philippines · Full-time

About The Company

Personetics is an enterprise-software growth-phase Fintech start-up. We develop AI-powered solutions helping banks deliver highly intelligent and personalized banking experiences to their customers across all digital channels. We’re pioneering and establishing a whole new category of consumer banking based around data-driven personalization and customer engagement.

We are growing and looking for a talented Data Engineer to join our Customer Success Team.

The position is based in The Philippines.

About The Position

As a Data Engineer at Personetics, you will be a key player in designing, implementing, and optimizing data solutions leveraging Airbyte for data integration, DBT for advanced modeling, and Apache Airflow for workflow orchestration. This role requires a physical presence on-site for 50% of the time, contributing to the success of our AI-driven financial solutions while ensuring the seamless flow and utilization of data.


1. Airbyte Integration:

  • Design and implement data pipelines using Airbyte connectors to facilitate efficient and reliable data extraction, ingestion, and integration.
  • Collaborate with cross-functional teams to ensure seamless data flow across our financial data landscape.

2. DBT Modeling and Transformation:

  • Utilize DBT to create modular and scalable datasets, enabling advanced analytics and reporting tailored to the financial domain.
  • Work closely with data analysts and scientists to align DBT models with specific business requirements.

3. Apache Airflow Workflow Orchestration:

  • Design, implement, and optimize workflows using Apache Airflow to automate and schedule critical data tasks.
  • Ensure the performance and efficiency of Airflow workflows, focusing on the security and compliance requirements of the financial sector.

4. Data Integration and Collaboration:

  • Collaborate with cross-functional teams to seamlessly integrate data solutions into Personetics' AI-driven financial applications.
  • Facilitate smooth data flow between different components of the data infrastructure.

5. Database Management:

  • Design and implement databases based on data modeling principles, prioritizing optimization for performance, reliability, and security.
  • Collaborate with database administrators to ensure the integrity and security of financial data storage.

6. Data Quality Assurance:

  • Implement data quality checks and validation processes within DBT and other tools to maintain high-quality data standards.
  • Proactively identify and address data quality issues, ensuring compliance with financial regulations.

7. Documentation and Training:

  • Document implementation processes, configurations, and best practices.
  • Provide training and support to end-users, analysts, and team members.

8. Innovation and Continuous Improvement:

  • Stay abreast of industry trends, emerging technologies, and financial regulations.
  • Propose and implement improvements to data engineering processes to enhance our AI-driven financial solutions.


  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Engineer with a focus on Airbyte, DBT, and Apache Airflow.
  • Strong proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, Oracle).
  • Hands-on experience with ETL processes and workflow orchestration using Apache Airflow.
  • Proficiency in DBT for data modeling and transformation.
  • Experience with Airbyte connectors for data extraction and ingestion.
  • Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Proficient in programming languages like Python, Java, or Scala.
  • Proven experience in customer facing roles.
  • Must be able to travel 50% of the time to customers site.
  • Experience working and collaborating in a diverse and distributed global team environment.

Nice to have

  • Certificaitons in relevant technologies (e.g., Apache Airflow Certified, DBT Fundamentals).
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of data governance, security, and compliance standards in the financial industry.
  • Strong problem-solving skills, attention to detail, and a proactive approach.

Apply for this position

Want to explore how your bank can harness the power of AI to increase deposits and drive business impact