Junior Data Engineer at StickEarn

Central Jakarta, Java, Indonesia -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Apache Airflow, Google Cloud Platform, BigQuery, Data warehousing, ETL/ELT, Data pipelines, Linux, Shell scripting, API integration, ClickHouse, Kafka, dbt, Docker, CI/CD

Industry

Advertising Services

Description

🚀 Job Opportunity: Data Engineer at StickEarn About StickEarn StickEarn is an advertising technology company on a mission to transform Out-of-Home (OOH) advertising through technology, data, and creativity. We empower brands, agencies, and media owners to create impactful advertising experiences across Indonesia. We are looking for a Data Engineer who will play a critical role in building and maintaining scalable, reliable data infrastructure that powers audience measurement, inventory optimization, and campaign performance analytics across our OOH advertising platform. 🌟 What You’ll Do Design & Build Data Pipelines: Design, develop, and maintain scalable batch and streaming data pipelines to support media planning, targeting, and campaign analytics. Data Warehousing & Modeling: Build and manage data models in cloud data warehouses to ensure high-quality, analytics-ready data. Data Reliability & Quality: Implement data quality checks, monitoring, and governance to ensure data accuracy, consistency, and reliability across systems. Platform & Infrastructure: Work closely with cloud infrastructure to manage data storage, processing, and performance optimization. Collaboration: Partner with Product, BI, Data Science, Campaign, and Engineering teams to translate business requirements into robust data solutions. Optimization & Troubleshooting: Analyze pipeline performance, debug data issues, and continuously improve system efficiency, scalability, and cost effectiveness. ✅ What We’re Looking For Bachelor’s degree in IT, Computer Science, or other relevant majors. Strong understanding of data warehousing concepts (fact & dimension tables, star schema) and ETL/ELT architectures. Advanced SQL skills (CTEs, window functions, query optimization) Experience using Python for data processing and automation. Hands-on experience with Apache Airflow for workflow orchestration Familiarity with cloud data platforms, particularly Google Cloud Platform (BigQuery, Pub/Sub, etc.). Experience designing batch and streaming data pipelines. Knowledge of API integration, data ingestion, Linux, and basic shell scripting. Exposure to modern data tooling such as ClickHouse, Kafka, dbt, Docker, and CI/CD practices Interest or experience in advanced data use cases, including LLM integration (RAG pipelines, vector databases, embeddings), building data APIs, and using BI tools like Metabase, Looker, or Tableau Strong analytical thinking, debugging, and problem-solving skills. Professional working proficiency in English (written & spoken). 🎁 What We Offer Flexibility with our hybrid working setup Private insurance to keep you covered Training budget & laptop ownership program to boost your productivity & growth Competitive compensation package with performance bonus. Flexible & anniversary leaves to support work-life balance and celebrate milestones Apply now and build the data foundation powering the future of OOH advertising at StickEarn! *Only shortlisted candidates will be contacted.

Responsibilities

Design, develop, and maintain scalable batch and streaming data pipelines to support analytics and media planning. Collaborate with cross-functional teams to ensure data quality, reliability, and performance optimization across the infrastructure.