Data and Reporting Engineer (POWER BI)

QBE GROUP SHARED SERVICES LIMITED - PHILIPPINE BRANCH; Metro Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

QBE Group Shared Services Limited – Philippine Branch seeks an experienced Data Engineer to lead data extraction, transformation, and warehousing efforts. You will design data models, build robust ETL pipelines, and collaborate with analysts to deliver accurate reporting via Tableau/Power BI.

Ideal candidates bring 7+ years in SAS/SQL-based environments, strong programming skills, and a proven track record in data governance and scalable solutions within a financial services setting.

Qualifications

• Strong knowledge of data analysis, extraction and management techniques in insurance portfolios.
• Fundamental knowledge of data analysis, extraction and management techniques for insurance portfolios.
• Experience with data modeling, SQL, and database management systems.

Responsibilities

• Gather data from diverse sources including databases, APIs, and flat files.
• Design, transform and preprocess data to ensure accuracy and consistency.
• Develop and maintain ETL processes and data pipelines.

Skills

SQL

Data modeling

Analytics

Programming (Python, Java, Scala)

Data governance

Communication

Agile

Problem solving

Education

Bachelor's Degree in CS/IT or related field

Tools

SAS Base

SAS EG

Apache NiFi

Apache Spark

Talend

Snowflake

Redshift

BigQuery

Tableau

Power BI

Job description

Data Extraction and Transformation:

• Gather data from diverse sources, such as databases, APIs, and flat files.
• Clean, transform, and preprocess data to ensure accuracy and consistency.
• Develop and maintain ETL (Extract, Transform, Load) processes.

Data Warehousing:

• Design and maintain data warehouses or data lakes to store and organize data efficiently.
• Implement data modeling and schema design to optimize data retrieval.

Big data management

Database Management:

• Administer and optimize databases for performance and scalability.
• Ensure data security and access control measures are in place.

Reporting and Visualization:

• Create interactive dashboards and reports using tools like Tableau, Power BI, or custom-built solutions.
• Collaborate with business analysts and stakeholders to define reporting requirements.

Data Quality and Governance:

• Implement data quality checks and validation processes.
• Establish data governance policies and procedures to maintain data integrity.
• Perform root cause analysis on data queries from stakeholders

Automation and Scalability:

• Develop automated solutions for data processing and reporting tasks.
• Scale data pipelines and reporting systems to handle growing volumes of data.

Performance Monitoring:

• Monitor system performance, troubleshoot issues, and optimize query performance.
• Implement alerting mechanisms for system failures or anomalies.

Documentation and Knowledge Sharing:

• Maintain documentation for data pipelines, data models, and reporting processes.
• Collaborate with team members and stakeholders to share knowledge and best practices.

Technical Expertise:

• Stay up-to-date with emerging technologies and best practices in data engineering and reporting.
• Continuously enhance skills in SQL, data modeling, and reporting tools.

Project Management:

• Leading and managing onshore reporting project requirements and direct contact of specific AO business units.
• Implement Agile methodology on different reporting projects

Quality Assurance:

• Implement data quality checks to ensure data integrity.
• Identify and address data quality issues as they arise.
• Audit reports produced by the team ensuring DTP is adhered to.

QUALIFICATIONS:

Knowledge

• General knowledge of insurance business and related market conditions preferred
• Fundamental knowledge of data analysis, extraction and management techniques for insurance portfolios
• Strong mathematical and statistical knowledge
• Fundamental knowledge in Report template creation and design
• Agile methodologies, such as Scrum, Kanban, and Lean.

Skills

• Proficiency in data modeling, SQL, and database management systems (e.g., SQL Server, Oracle, PostgreSQL).
• Experience with ETL tools and processes (e.g.,SAS Base, SAS EG, Apache NiFi, Apache Spark, Talend).
• Knowledge of data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with reporting and visualization tools (e.g., Tableau, Power BI, QlikView).
• Programming skills in languages such as Python, Java, or Scala for data processing and automation.
• Strong analytical and problem-solving skills.
• Understanding of data governance and data security principles.
• Excellent communication skills to work effectively with cross-functional teams and business stakeholders.
• Ability to adapt to evolving technologies and trends in data engineering and reporting.

Experience

• 7+ years minimum experience in SAS Base, SAS EG, SQL, Excel, Tableau, Power BI, Has been involved in multiple automation initiatives that delivered tangible benefits
• At least 1 year experience in the financial services industry, preferably in insurance
• Working experience in a consulting or shared services environment preferred
• Bachelor's Degree in Computer Science, Information Technology, or any related field or equivalent work experience.