Data Engineer

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Manila Recruitment

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2010

🎯 Recruiter

🏢 Enterprise

Recruitment • Enterprise

Manila Recruitment is a leading recruitment agency based in the Philippines, specializing in innovative talent sourcing and headhunting services. The agency provides a wide range of recruitment solutions including executive search, IT recruitment, offshore staffing solutions, remote staffing, and more. With a focus on understanding clients' strategic business objectives, Manila Recruitment offers tailored recruitment strategies for multinationals, corporations, and start-ups entering the Filipino market. The firm prides itself on a process-driven approach, offering comprehensive candidate guarantees and a database of over 250,000 candidates. Certified headhunters at Manila Recruitment are dedicated to passive candidate sourcing, ensuring quality hires that align with company culture and requirements.

📋 Description

• As a Data Engineer, you will be responsible for building and maintaining scalable, reliable data infrastructure that powers the organization's data platform. You will develop ETL/ELT pipelines for both batch and real-time data processing, integrate data from multiple sources, optimize data warehouse models, and ensure data quality, performance, and scalability. Working closely with Data Scientists, Analytics Engineers, BI specialists, and IT/DevOps teams, you will enable data-driven decision-making and support key business functions in a fast-growing international e-commerce environment. •Build and maintain ETL/ELT pipelines (batch and streaming) •Work with event-driven architectures and real-time data processing •Integrate multiple data sources via APIs and replication •Design and optimize data warehouse models •Set up monitoring, logging, and alerting •Continuously improve performance, scalability, and reliability

🎯 Requirements

• __**Must-have Skills/Qualification:**__ •At least 3 years of experience in data engineering, building and maintaining scalable data pipelines and platforms •Strong experience with SQL, comfortable working in complex data environments •Hands-on experience with ETL/ELT processes and modern data tooling such as Apache Airflow •Experience with dbt (Data Build Tool) for developing, testing, documenting, and managing scalable data transformation workflows within a modern data warehouse environment •Experience with cloud environments such as AWS and/or GCP •Pragmatic mindset with strong ownership and a focus on delivering impact •Strong English communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders • __**Advantageous Skills/Experience:**__ •Experience in Apache Flink and Databricks •Experience in Python for data processing and pipeline development •Experience with machine learning (understanding of model training, inference, and MLOps) •Fluent in Dutch.