Our client, a global digital technology enabler that provides integrated digital solutions for multiple industries, is currently looking for Head of Data Engineering, with details as below:
Role Summary:
Responsible to lead Data Engineering team to consolidate multiple databases into a unified data ecosystem, ensuring seamless integration, scalability, and reliability, to directly empower stakeholders to derive insights, refine business strategies, and enhance customer outreach.
Key Responsibilities:
Data Architecture & Integration
- Design and implement a centralized data warehouse to synchronize disparate databases (e.g., SQL, NoSQL, CRM systems) into a single source of truth.
- Develop robust ETL/ELT pipelines for efficient data ingestion, transformation, and loading.
- Optimize data storage and processing for scalability, performance, and cost-efficiency.
Insights & Strategy Enablement
- Collaborate with data analysts and business teams to build dashboards, reports, and tools for actionable insights.
- Enable predictive analytics and machine learning models to drive customer segmentation and outreach strategies.
- Ensure data accessibility through self-service platforms (e.g., Tableau, Power BI) for cross-functional teams.
Leadership & Collaboration
- Mentor junior engineers and oversee end-to-end data lifecycle management.
- Partner with IT, product, and business units to align data solutions with organizational objectives.
- Establish data governance frameworks to ensure quality, security, and compliance.
Innovation & Optimization
- Evaluate and integrate cutting-edge tools (e.g., Apache Spark, AWS/Azure, dbt) to modernize the data stack.
- Automate data validation, monitoring, and reconciliation processes.
Qualifications:
- Bachelor’s/Master’s in Computer Science, Data Engineering, or related field.
- 7+ years in data engineering, including 3+ years in a leadership role.
- Expertise in SQL, Python, Scala, or Java.
- Proficiency with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Kafka).
- Hands-on experience with data orchestration (Airflow, Luigi) and warehousing (Snowflake, Redshift).
- Strong communication to translate technical concepts for non-technical stakeholders.
- Proven ability to manage cross-functional projects and drive innovation.
Job Type: Full-time
Application Question(s):
- What is the largest number of team members you have directly led on a professional setting (e.g., as a supervisor, manager, or team lead)?
- Please share your expected monthly salary in IDR
Experience:
- Data Engineering: 10 years (Preferred)
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