Data Engineer

Location: [Indonesia]Employment Type: [Full-time Contract]Job DescriptionWe are looking for a skilled Data Engineer with strong experience in cloud data platforms and a solid understanding of Business Intelligence reporting—preferably using Looker Studio. You will design scalable data pipelines, build analytics-ready datasets, and enable business teams to generate insights from modern cloud data platforms. This role sits at the intersection of data engineering, BI enablement, and AI-driven analytics delivery.Key ResponsibilitiesData Engineering & Platform DevelopmentDesign, build, and maintain scalable ETL/ELT pipelines for structured and semi-structured data.Develop and optimize cloud data warehouses or lakehouses (e.g., BigQuery, Snowflake)Build reusable data transformation models (SQL, Python, Dataform/dbt)Implement data quality, validation, and lineage controls.Integrate data from multiple systems (APIs, SaaS systems, databases, streaming).Support ingestion & streaming workloads (e.g., Pub/Sub, Kafka).Collaborate with analytics and AI teams to ensure reliable and accessible data for downstream use. Business Intelligence & Data EnablementBuild and automate dashboards and reporting pipelines, with a focus on Looker Studio.Design and maintain semantic layers / data marts optimized for BI workloads.Translate business questions into analytical datasets and dashboards.Work closely with business stakeholders to define metrics, KPIs, and data models.Ensure data accuracy, usability, and performance for reporting and self-service analytics.Collaboration & DeliveryPartner with architects, analysts, and AI teams to deliver end-to-end solutions.Document pipelines, data models, and processes.Participate in code reviews and engineering best practices.Provide knowledge sharing and mentorship to junior team members.[Optional Bonus] Generative AI & Advanced AnalyticsExposure to GenAI use cases (chatbots, RAG, document Q&A).Familiarity with vector DBs (FAISS, Pinecone) and frameworks (LangChain / LangGraph).Experience integrating analytics models into Vertex AI / OpenAI pipelines.RequirementsExperience~5 years of hands-on data engineering or backend data platform experience.2+ years working with cloud ecosystems (GCP preferred).Demonstrated experience delivering production-grade data pipelines & BI reports.Technical SkillsProgramming: Proficient in Python and SQL; experience with data transformation and automation scripts.Data Platforms: Experience with BigQuery, Snowflake, Redshift, or Databricks.Orchestration Tools: Familiar with Airflow, Composer, or dbt/DataformBI & Visualization: Looker Studio (preferred), Looker, Power BI, TableauBig Data Frameworks: Exposure to Spark, Beam, or Kafka is an advantage.Version Control & CI/CD: Familiarity with Git, Cloud Build, or similar tools.Data Governance: Understanding of metadata, lineage, and access control best practices (bonus).Soft SkillsStrong analytical and problem-solving skillsGood communication and collaboration skills to work with cross-functional teams.Proactive, collaborative, and eager to learn—especially in AI & analyticsPreferred QualificationsBachelor’s degree in Computer Science, Engineering, or related field.Google Cloud Professional Data Engineer or equivalent cloud certification (preferred).Experience contributing to AI/ML or Gen AI projects (nice to have).What We OfferCompetitive compensation and performance-based incentives.Opportunities to work on data and AI projects across industries and regions.Learning and certification support for cloud and Gen AI technologies.A collaborative environment where innovation and growth are encouraged.