Data Engineer

**Who are we?**Whiteline Group is a dynamic organization at the forefront of innovation and growth. We provide end-to-end marketing solutions. Our business covers brand activation, retail media, retail execution, publishing, business consultancy and technology solutions. With a team of more than 300 talented and dedicated staff, our organization has grown quickly. As part of our journey, we are preparing for an Initial Public Offering (IPO). Now we are seeking new talent partners for growing together.

How will you make an impact?

You will lead the development of scalable data platforms and pipelines that power business intelligence and data-driven decisions across the organization. Your work will ensure reliable, secure, and high-performance data solutions while driving technical excellence, innovation, and continuous improvement across the data engineering team.

What you will do?

• Lead the design, development, and optimization of scalable ETL/ELT pipelines and data platforms
• Establish data engineering standards, best practices, and architecture guidelines
• Ensure data quality, integrity, security, and governance across the data ecosystem
• Design and oversee databases, data warehouses, and data lake architectures
• Optimize data storage, processing performance, scalability, and cost efficiency
• Drive platform modernization and cloud data initiatives
• Establish monitoring, alerting, and observability for data pipelines and platforms
• Lead root cause analysis and resolve complex data issues
• Continuously improve data platform reliability, performance, scalability, and operational efficiency
• Provide technical leadership and mentor data engineers and cross-functional teams
• Collaborate with data analysts, data scientists, and business teams to support analytics, reporting, and AI/ML initiatives
• Review technical solution designs to ensure alignment with business objectives
• Evaluate emerging technologies, tools, and best practices in data engineering
• Drive automation, DataOps practices, and continuous improvement initiatives

What you will need?

• Bachelor's degree in Computer Science, Information Systems, or a related field
• At least 5 years of experience in data engineering or a related field
• Experience with big data technologies
• Strong programming skills in Python and SQL
• Experience with Google Cloud Platform (GCP), including BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub, Cloud Composer (Airflow), and IAM
• Strong knowledge of relational and non-relational databases such as SQL Server, PostgreSQL, MongoDB, and BigQuery
• Good understanding of data structures and their application in data engineering
• Experience with data pipeline tools such as Apache Airflow or dbt is a plus
• Familiarity with cloud platforms such as GCP, Azure, or AWS
• Understanding of CI/CD workflows and DevOps practices
• Knowledge of data governance and security best practices
• Experience with AI-driven or low-code automation tools such as Knime, n8n, or Make is a plus
• Strong analytical and problem-solving skills
• Experience designing scalable and secure data architectures
• Strong collaboration and stakeholder management skills

What will you get?

• Flexible working hours
• Snack bar and ice cream
• Massage service
• Cars & Motorcycle parking allowance (50% support by the company)
• Medical allowance and Dental allowance
• Annual health check
• Mental health service
• Annual salary adjustment & bonus (based on performance)
• Company outing
• Annual leave days (up to 15 days)
• Special leave day (marriage, anniversary)

Dare to cross the Whiteline!