Data Engineering Manager

AXA Philippines; Pasig; On-site; USD 25,000 - 40,000; Full time

Job summary

AXA Philippines is seeking a Data Scientist to work with complex data algorithms, develop data models, and support business intelligence initiatives. The role involves close collaboration with the data science team to enhance our product offerings and improve customer retention through data-driven strategies. The ideal candidate will have significant experience with Python, SQL, and Azure tools, along with a strong ability to communicate insights effectively to diverse teams.

Qualifications

• Three or more years of experience with Python, SQL, and data visualization tools.
• Familiarity with the Azure ecosystem and ETL/ELT processes.
• Ability to communicate technical concepts to non-technical business leaders.

Responsibilities

• Work with data to solve business problems and improve processes.
• Build data pipelines and develop models to predict business outcomes.
• Collaborate closely with data science and business intelligence teams.

Skills

Python

SQL

Data Visualization

Communication Skills

Education

Bachelor’s degree in computer science or related discipline

Tools

Azure Data Lake Storage

Azure Data Factory

Azure Databricks

Job description

Objectives of therole

•Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes

•Help streamline our data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models

•Work closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning

•Be an advocate for best practices and continued learning

Responsibilities

•Work closely with our data science team to help build complex algorithms that provide unique insights into our data

•Use agile development processes to make iterative improvements to our back-end systems

•Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis

•Build data pipelines that clean, transform, and aggregate data from disparate sources

•Develop models that can be used to make predictions and answer questions for the overall business

Skills and Qualifications

•Three or more years of experience with Python, SQL, and data visualization/exploration tools

•Familiarity with the Azure ecosystem, specifically Azure Data Lake Storage (ADL), Azure Data Factory (ADF), Azure Analysis Services (AAS) and Azure Databricks

•Communication skills, especially for explaining technical concepts to nontechnical business leaders

•Ability to work on a dynamic, research-oriented team that has concurrent projects

Preferred qualifications

•Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related discipline

•Familiarity with the DAMA-DMBOK framework

•Experience in building or maintaining ETL/ELT processes

•Professional certification