(Senior) Data Engineer-1

Job Overview

Senior Data Engineer – Malaysia (Data Science & Engineering team). This role focuses on Snowflake, DBT Cloud, and leading data engineering aspects for AI/ML products. The position reports to the team lead, works with teams in Denmark, Poland, and globally, and collaborates with a small engineering group.

Responsibilities

• Run & maintain scalable data platforms and pipelines (batch & streaming).
• Program in Python and SQL to maintain and improve existing codebases.
• Build and maintain data models, data marts, and data warehouses for analytics and reporting.
• Implement data validation, monitoring, and alerting to ensure data quality and governance.
• Collaborate with data stewards and data scientists to define schemas, metadata, and lineage.
• Enforce data security, access control, and compliance with industry regulations.
• Profile, tune, and optimize SQL queries, transformations, and storage layers to meet SLAs.
• Evaluate and recommend new technologies or architectural patterns to improve throughput and reduce costs.
• Automate infrastructure provisioning (IaC) and CI/CD processes for data workloads.
• Guide and coach junior and mid‑level engineers in data engineering and platform development.
• Innovate and proactively harden data platforms against potential issues.

Requirements (Must Have)

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field.
• 5–7 years of hands‑on experience in data engineering, building, and maintaining large‑scale data platforms.
• Proficient in SQL and one or more programming languages (Python, Scala, Java, Snowpark).
• Experience with DBT, Snowflake, IaaC concepts (Terraform, CloudFormation, Jenkins/GitHub Actions) and Jinja.
• Hands‑on experience with ETL/ELT workflow tools such as Snowpipe.
• Strong data modelling skills (star, snowflake, data vault, etc.).
• Hands‑on experience with Azure Functions, Azure Data Lake, and Iceberg.
• Experience designing and optimizing data warehouses, data lakes, and/or data lakehouse architectures.
• Knowledge of data quality frameworks, cataloging, and metadata management tools.
• Excellent problem‑solving, detail‑oriented, and troubleshooting skills under tight SLAs.
• Strong communication skills with technical and non‑technical stakeholders.
• Proactive mindset with continuous improvement attitude.
• Familiarity with LLM tools (e.g., ChatGPT, GitHub Copilot).
• Extensive experience in relational databases and version control systems such as Git.

Nice to Have

• Master’s degree or higher in relevant field.
• Hands‑on experience with Supermetrics, Informatica, Kafka, Databricks, Spark, Airflow, Docker, and Kubernetes.
• Experience with managed data services (AWS Redshift, Azure Synapse).
• Experience with cloud platforms (Azure, AWS, GCP).
• Familiarity with observability tools (Prometheus, Grafana, ELK stack).
• Ability to work in Scrum or Kanban using Jira.
• International work experience.

Equal Opportunity

We employ 79 different nationalities worldwide and are committed to providing equal opportunities to all employees, promoting diversity, and working against all forms of discrimination.