Data Engineer: Scalable Pipelines & Data Quality

B & M Global Services Manila, Inc.; Taguig; Hybrid; PHP 900,000 - 1,500,000; Full time

Job summary

Baker McKenzie is seeking a Data Engineer to design, develop, and maintain data storage, processing, and analysis infrastructure. You will build and manage data pipelines, ensuring data quality and governance while collaborating with data scientists and analysts to optimize models and analytics across the enterprise.

The role requires expertise in Java, Python, SQL, and modern data architectures with cloud services (AWS/Azure/GCP).

Qualifications

• A bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field; master’s degree preferred
• At least six years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks
• Proven project experience developing and maintaining data warehouses in big data solutions (Snowflake)
• Expert knowledge in Apache technologies such as Kafka, Airflow, and Spark to build scalable and efficient data pipelines
• Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI
• Strong ability in programming languages such as Java, Python, and C/C++
• Ability in data science languages/tools such as SQL, R, SAS, or Excel
• Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks)
• Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata
• Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products
• Expert problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems
• Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.
• Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options
• Ability to translate among the languages used by executive, business, IT, and quant stakeholders.

Responsibilities

• Designs and develops data pipelines from sources to storage, transforming data for storage systems
• Collaborates with data scientists and analysts to optimize models for data quality, security, and governance
• Integrates data from databases, data warehouses, APIs, and external systems
• Ensures data consistency and integrity during the integration process with validation and cleaning
• Transforms raw data with cleansing, aggregation, filtering, and enrichment techniques
• Optimizes data pipelines and processing workflows for performance, scalability, and efficiency
• Monitors and tunes data systems, identifying bottlenecks and implementing caching/indexing
• Implements data quality checks within pipelines to ensure accuracy and completeness
• Takes ownership of exploiting enterprise information assets for insights and automated decisions
• Works with board members and executives to define vision for managing data as a business asset
• Establishes governance of data and algorithms used for analysis and automated decision making

Skills

Java

Python

C/C++

SQL

R

SAS

Excel

AWS

Snowflake

Databricks

Airflow

Kafka

Spark

Education

Bachelor’s degree in CS/DS/SE

Master’s degree preferred

Tools

Snowflake

Databricks

Kafka

Airflow

Spark

Job description

Baker McKenzie is seeking a Data Engineer to design, develop, and maintain data storage, processing, and analysis infrastructure. You will build and manage data pipelines, ensuring data quality and governance while collaborating with data scientists and analysts to optimize models and analytics across the enterprise.

The role requires expertise in Java, Python, SQL, and modern data architectures with cloud services (AWS/Azure/GCP).