Data Engineer

B&M Global Services Manila; Taguig; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Baker McKenzie is seeking a Data Engineer to design, develop, and maintain data infrastructure and pipelines that enable enterprise-wide data storage, processing, and analytics. You will collaborate with data scientists, analysts, and executives to ensure data quality, security, and governance across sources and systems.

Ideal candidates have 6+ years in data engineering, strong SQL, Java/Python, and experience with Snowflake, Kafka, Airflow, and Spark.

Qualifications

• 6+ years in data management disciplines incl. integration, modeling, quality.
• Experience building data warehouses in big data solutions (Snowflake).
• Proven ability to design, build, deploy data solutions for AI/ML/BI.

Responsibilities

• Designs data pipelines to extract, transform, and load data into storage systems.
• Collaborates with data scientists and analysts to optimize models for data quality and governance.
• Integrates data from databases, warehouses, APIs, and external systems.
• Ensures data integrity, validation, and cleaning throughout pipelines.
• Optimizes pipelines for performance, scalability, and efficiency.
• Monitors systems and tunes performance, implementing caching and indexing.

Skills

Big data

Kafka

Airflow

Spark

Java

Python

SQL

Cloud

Snowflake

Databricks

Data quality

Governance

Education

Bachelor's in CS / Data Science / SE

Master's preferred

Tools

Snowflake

Databricks

Kafka

Airflow

Spark

Oracle

Hadoop

Job description

The Data engineer is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis. They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across the enterprise.

Main responsibilities:

• Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems
• Collaborates with data scientists and analysts to optimize models and algorithms for data quality, security, and governance
• Integrates data from different sources, including databases, data warehouses, APIs, and external systems
• Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed
• Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques
• Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency
• Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance
• Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data
• Takes authority, responsibility, and accountability for exploiting the value of enterprise information assets and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance
• Works with board members and other executives to establish the vision for managing data as a business asset
• Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision making

Skills and experience:

• 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.

About us

At Baker McKenzie we are different in the way we think, work and behave. With our team of 13,000 people, including over 6,500 locally admitted lawyers, in over 70 offices worldwide, we have a passionately collaborative community of 60 nationalities and are committed to world-class career development to everyone in every job at every level. Baker McKenzie can offer you both the uncompromising commitment to excellence expected of a top firm paired with a passionately global and genuinely collaborative working environment.

Additional Information

Baker McKenzie is an Equal Opportunity Employer. We are committed to promoting diversity and inclusion for all. Our unique international culture is reflected in the drawing together of a worldwide family of individuals from diverse cultures and backgrounds in all of our offices. We encourage the best people - regardless of race, religion or belief if any, gender, gender identity, disability, sexual orientation or age - to fulfill their professional aspirations with us. We are committed to ensuring an inclusive and accessible experience for all candidates.