49 Data Engineering jobs in Indonesia

About the Company

At Cimol Bojot Aa, we're not just about cimol, we're building a data-driven business. We believe every decision, from managing inventory to marketing strategies, should be backed by accurate, accessible data. We're looking for a Data Engineer to be a key pillar in building our data foundation from the ground up.

This is a hands-on opportunity to build a scalable data infrastructure from the ground up, with a focus on data governance, quality assurance, and reproducibility. You'll work closely with the Data Manager and collaborate across teams such as finance, marketing, production, and warehouse.

What You'll Do

● Build, test, and maintain data pipelines to extract, clean, and load data from various tools (ERP, POS, campaign platforms, spreadsheets).

● Consolidate raw data into a centralized data warehouse on a cloud platform (Google Cloud or AWS).

● Design and maintain a data warehouse using Star Schema, Medallion Architecture, or similar concepts to support analytics across finance, marketing, supply chain, and sales.

● Support data transformation using tools like dbt and manage the data flow using tools like Apache Airflow.

● Control and manage cloud pricing to ensure cost-efficient use of resources.

● Provide and manage access to Business Intelligence (BI) tools like Metabase, Looker, or Tableau to enable self-service analytics.

● Document data models, workflows, and system designs to ensure reproducibility.

What We're Looking For

● Minimum 2 years of work experience as a Data Engineer.

● Strong proficiency in SQL (especially PostgreSQL) and Python.

● Solid understanding of ETL/ELT concepts and experience with pipeline orchestration tools like Apache Airflow and data transformation tools like dbt.

● Familiar with designing and building data pipelines and managing data flow.

● Comfortable with working with APIs and various third-party data sources.

● Experience with Docker for application deployment.

● Experience in setting up and configuring BI tools.

● Strong understanding of data governance, reproducibility, and quality assurance.

● Passionate about the F&B business domain, including inventory movement, sales, and marketing.

● Experience with modern data warehouse technologies like Google BigQuery.

● Strong problem-solving and documentation skills.

● Good communication skills and ability to work cross-functionally.

Jobdesc:

• Implementation and maintenance Bigdata Platform Cloudera

Requirements:

• Bachelor's degree in Information Systems or related field.
• At least 1 year experience in Cloudera administration.
• Knowledge and experience of SQL Query, NoSQL database Shell scripting and Python Scripts is a must.
• Understanding linux OS platform is a must, with experience in Red Hat being a plus.
• Familiarity with big data tools and frameworks, including Spark, HBase, Hive, and Hadoop.
• Experience with Cloudera is a plus.
• Familiarity with NiFi.
• Excellent troubleshooting skills.
• Strong communication skills and the ability to work effectively in a team.

THE WORK: Ignite your passion for data In this role, you will build knowledge and support the team while participating in problem-solving discussions. Your expertise in PySpark will be essential as you contribute to innovative data solutions. We are excited to welcome individuals who are eager to make a difference and grow in their careers.

Develop reusable workflows for data ingestion, quality, transformation, and optimization.

Create scalable data pipelines utilizing various tools and technologies.

Deploy data solutions into production environments effectively.

Migrate data from legacy data warehouses while adhering to cloud architecture principles.

Automate data flow processes to enhance consumption efficiency.

HERE'S WHAT YOU WILL NEED:

Intermediate proficiency in PySpark.

Advanced proficiency in Platform Engineering.

It is advantageous to have prior experience in relevant related skills.

Assoc. Degree/College Diploma in relevant field of studies.

BONUS POINTS IF YOU HAVE:

Intermediate proficiency in AWS Redshift.

Intermediate proficiency in Data Architecture Principles.

Intermediate proficiency in Database Architecture.

Associate degree or Diploma III degree holder.

Job Responsibilities

• Lead and oversee Big Data initiatives, ensuring alignment with corporate digital transformation and business strategies.
• Manage end-to-end project lifecycle: planning, resource allocation, execution, monitoring, risk management, and delivery within agreed timeline and budget.
• Collaborate with cross-functional teams (IT, Data Engineering, Business Units, External Vendors) to translate business needs into Big Data solutions.
• Define project scope, objectives, deliverables, and KPIs to measure success and ensure business value realization.
• Ensure compliance with IT governance, data security, and data privacy standards.
• Monitor project progress, anticipate issues, and proactively resolve risks and conflicts.
• Act as the primary liaison for stakeholders, providing regular updates, reports, and presentations to management and executives.
• Drive adoption of best practices in project management and Big Data implementation across the organization.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or related field.
• Minimum 5–7 years of proven experience in Project Management, with at least 3 years handling Big Data or Analytics-related projects.
• Strong knowledge of Big Data technologies and ecosystem: Hadoop, Spark, Kafka, Hive, Cloud Data Platforms (AWS, GCP, or Azure).
• Experience in managing large-scale data integration, ETL pipelines, data warehouse, or data lake projects.
• Familiarity with data governance frameworks, compliance, and security practices.
• Solid understanding of Agile, Scrum, or Hybrid project methodologies.
• Excellent leadership, stakeholder management, and communication skills, with ability to influence both technical and non-technical stakeholders.
• Strong analytical, problem-solving, and decision-making abilities.
• Professional certification such as PMP, PRINCE2, or Agile/Scrum Master is an advantage.
• Automotive industry or large enterprise experience will be a strong plus.

Engineer - Data Science and Data Engineering

Jakarta, Indonesia
Engineering & Delivery

Apply for Position
Or refer someone

Job Title:
Technical Analyst

Location:
 Jakarta

Experience:
 5+ Years

Industry:
 Banking/Financial Services

Job Description:

We are seeking a skilled 
Technical Analyst
 with strong experience in the 
banking domain
 to join our team. The ideal candidate will have expertise in 
PL/SQL, Cloudera, and Big Data technologies
, along with hands-on experience in 
banking-related projects
.

Key Responsibilities:

• Analyze and translate business requirements into technical solutions in the banking sector.
• Develop, optimize, and maintain 
  PL/SQL
   queries, stored procedures, and database solutions.
• Work with 
  Cloudera/Hadoop ecosystem
   for Big Data processing, analytics, and reporting.
• Collaborate with cross-functional teams to deliver data-driven solutions for banking projects.

Required Skills & Qualifications:

• 5+ years of experience
   in the 
  banking/financial services domain
  .
• Strong expertise in 
  PL/SQL
   (writing complex queries, stored procedures, performance tuning).
• Hands-on experience with 
  Cloudera, Hadoop, Hive, Spark, or related Big Data technologies
  .
• Knowledge of data warehousing, ETL processes, and data modeling in banking contexts.
• Familiarity with regulatory and compliance standards in banking (e.g., Basel, AML, KYC).
• Experience in Agile/Scrum methodologies is a plus.
• Strong analytical and problem-solving skills.

Education:

• Bachelor's or Master's degree in 
  Computer Science, IT, or related field
  .

• Lead the development and implementation of advanced machine learning models and algorithms.
• Design, build, and maintain scalable data pipelines for large-scale data processing.
• Extract, transform, and analyze complex datasets to identify trends and patterns.
• Develop predictive models to forecast business outcomes and optimize operations.
• Communicate findings, insights, and recommendations to senior management and cross-functional teams.
• Collaborate with engineering teams to deploy machine learning models into production environments.
• Mentor and guide junior data scientists, fostering a culture of technical excellence.
• Stay abreast of the latest advancements in data science, AI, and machine learning.
• Define data strategy and roadmap for the organization.

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 10+ years of experience in data science, machine learning, and big data analytics.
• Expertise in Python or R, with proficiency in relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with big data technologies such as Apache Spark, Hadoop, and distributed computing.
• Proficiency in SQL and experience with various database systems.
• Experience with cloud platforms (AWS, Azure, GCP) and their data services.
• Strong understanding of statistical modeling, experimental design, and A/B testing.
• Excellent communication, presentation, and storytelling skills.
• Proven ability to lead complex projects and mentor team members.

• Assist senior analysts in collecting, cleaning, and transforming large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and generate reports and visualizations to communicate findings effectively to stakeholders.
• Support the development of dashboards and key performance indicators (KPIs).
• Learn and apply statistical techniques and methodologies for data analysis.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Help maintain data integrity and accuracy throughout the analysis process.
• Contribute to the refinement of data models and analytical processes.
• Gain hands-on experience with various data analytics tools and technologies.
• Participate in team meetings and contribute ideas for improving analytical approaches.

• Recent Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Fundamental understanding of statistical concepts and data analysis principles.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a strong plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Excellent attention to detail and commitment to data accuracy.
• Good communication and teamwork skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to manage multiple tasks and prioritize effectively.
• Must be a recent graduate eligible for a graduate program.
• Strong command of Bahasa Indonesia; English proficiency is a plus.