Data Engineer

Pt Simian Technologies; Jawa Barat; Hybrid; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading technology consulting firm in Indonesia is seeking a Data Engineer to design, develop, and optimize data pipelines and ETL workflows. The ideal candidate has 1+ years of experience, strong skills in SQL, and proficiency with tools such as Azure Data Factory and Snowflake. This hybrid role will involve direct engagement with clients to translate business requirements into effective technical solutions.

Benefits

Complimentary coffee

Qualifications

• 1+ years of experience as a Data Engineer or in a similar data-focused role.
• Strong experience with ETL processes, data pipelines, and data ingestion.
• Solid understanding of data warehouse design, particularly Star Schema modeling.

Responsibilities

• Engage directly with customers to understand business requirements and translate them into technical data solutions.
• Design, build, and maintain data ingestion and ETL pipelines to support analytics and reporting.
• Implement data warehouse solutions following Star Schema best practices.

Skills

ETL processes

Data pipelines

Data ingestion

Data modeling

SQL

Azure Data Factory

Snowflake

SSIS

SSAS

Education

Bachelor's degree in computer science or related field

Tools

Azure Data Factory

SSIS

SSAS

Snowflake

Python

Job description

Job Description

We’re looking for a Data Engineer to join our consulting team and work directly with clients on the design, development, and optimization of data pipelines, ETL workflows, and data warehouses. This role is ideal for someone who enjoys solving complex data challenges while collaborating closely with stakeholders.

Key Responsibilities

• Engage directly with customers to understand business requirements and translate them into technical data solutions.
• Design, build, and maintain data ingestion and ETL pipelines to support analytics and reporting.
• Implement data warehouse solutions following Star Schema best practices.
• Develop and orchestrate workflows using Azure Data Factory and/or Microsoft Fabric.
• Leverage SSIS (SQL Server Integration Services) for ETL and SSAS (SQL Server Analysis Services) for analytical modeling.
• Build and manage data solutions in Snowflake.
• Monitor, troubleshoot, and optimize pipelines for performance and reliability.
• Provide technical guidance and best practices to clients and internal teams.

Required Skills & Qualifications

• 1+ years of experience as a Data Engineer or in a similar data-focused role.
• Strong experience with ETL processes, data pipelines, and data ingestion.
• Solid understanding of data warehouse design, particularly Star Schema modeling.
• Hands‑on experience with Azure Data Factory and/or Microsoft Fabric.
• Proficiency with SSIS and SSAS.
• Experience working with Snowflake
• Strong SQL skills and understanding of relational database concepts.
• Excellent communication skills for engaging with customers and translating requirements into solutions.

Nice to Have

• Consulting or client‑facing project experience.
• Exposure to BI tools (Power BI, Tableau) and data governance practices.
• Knowledge of cloud platforms beyond Azure (AWS, GCP).

Job Description

PT Mitra Solusi Telematika (MST) is seeking a passionate Data Engineer to join our dynamic technology team in our Jakarta office. As an expert, you will play a crucial role in the design, development, and maintenance of our data infrastructure.

Job Description:

Your primary responsibilities will include:

• Data Integration: Collaborate with cross‑functional teams to gather data requirements and develop ETL processes for seamless data integration.
• Performance Optimization: Continuously monitor and enhance the performance of data warehousing solutions, ensuring scalability and efficiency.
• Data Modeling: Design and implement data models that meet business objectives and adhere to best practices.
• Data Governance: Implement data governance and security measures to ensure data quality and compliance with regulatory standards.
• Documentation: Maintain clear and concise documentation of data pipelines, processes, and configurations.
• Snowflake Expertise (if any): Utilize your deep knowledge of Snowflake to architect, build, and optimize data pipelines and warehouse solutions for our clients.

Qualifications:

• Bachelor’s degree in computer science, data science, software engineering, information systems, or related field.
• Minimum 3+ years of experience as Data Engineer.
• Proficient in programming languages such as R, SQL, ETL, Python, and C++.
• Have knowledge of visualization tools such as Power BI, Tableau, etc.
• Currently has or is considering pursuing relevant certifications.
• AWS Data Engineer/AWS Cloud Engineer certification is highly preferred for this role.
• Possess strong communication skills and proactive attitude, as well as great teamwork traits.
• Willing to be placed in Jakarta for 6 months contract with hybrid terms.

Job Description

At Insignia, we’re looking for a Mid‑Level Data Engineer who’s worked hands‑on with Databricks and has solid experience across AWS, GCP, or Azure. You’ll design and maintain end‑to‑end data pipelines that power analytics, machine learning, and business decision‑making — from ingestion to transformation, warehousing, and beyond.

You don’t need to be a cloud expert in all three platforms — but you should have deep experience in at least one, and comfort navigating multi‑cloud environments where needed. If you’ve built production ETL/ELT workflows on the Lakehouse, optimized Delta tables, or integrated Databricks with orchestration tools like Airflow — this is your kind of challenge.

This is a hybrid role based in West Jakarta, blending focused collaboration with flexible execution.

What You’ll Do:

• Design, build, and maintain scalable data pipelines using Databricks (Lakehouse, Delta Lake, Spark).
• Work across cloud platforms (AWS preferred, also GCP/Azure) — S3, BigQuery, Blob Storage, etc.
• Transform raw data into structured, reliable datasets for analytics and ML teams.
• Optimize performance, cost, and governance across data workflows.
• Collaborate with analysts, MLEs, and software engineers to ensure data readiness.
• Implement CI/CD, monitoring, and documentation practices for data systems.

Who You Are:

• 2–4 years of experience in data engineering, ideally within tech‑driven or digital service environments.
• Hands‑on experience with Databricks — including PySpark, SQL, and workflow automation.
• Proven track record working with at least one major cloud provider: AWS (S3, Glue, Redshift), GCP (BigQuery, Pub/Sub), or Azure (Data Lake, Synapse).
• Proficient in Python, SQL, and data modeling (medallion architecture, star schema, etc.).
• Experience with orchestration tools like Airflow, Prefect, or Step Functions.
• Bonus: Familiarity with Unity Catalog, MLflow, or real‑time streaming (Kafka, Kinesis).
• Fluent in English — written and spoken.
• Collaborative, proactive, and passionate about building clean, maintainable data infrastructure.

Why Join Us?

Because great data systems aren’t just fast — they’re trusted, reusable, and built to evolve. If you’re ready to work on high‑impact projects where your pipelines power AI and insight, let’s talk.

Hybrid role – West Jakarta

Job Description

Job Description:

• Perform application system development related to Realtime Engine System, Big Data.
• Ensure that the development process is in accordance with the timeline.
• Follow / comply with applicable application system development policies and procedures.

Technical Requirements:

• Application system development (familiar with SAS, Java, .Net, SQL, SSIS/ETL, Oracle, etc).
• Having some Analytic tools skill such as R, Python are advantages.

Requirements:

• Minimum Bachelor Degree (S1) Majoring Computer Science, preferably reputable university.
• Minimum 1 year experienced.
• Willing to located in Bintaro.

Job Description

"What does it take to build data systems that scale without breaking? A Data Engineer who knows the cloud isn’t just a place — it’s a mindset."

At Insignia, we’re looking for a Data Engineer with proven experience in AWS and a track record of building reliable, scalable data pipelines.

You’ll design and maintain ETL/ELT workflows, optimize data models, and ensure our analytics and machine learning teams have clean, accessible data. If you’re comfortable in S3, Glue, Redshift, Lambda, and Step Functions, and you care about performance, governance, and simplicity — this is your chance to build infrastructure that powers real decisions.

This is an Hybrid role in Kebon Jeruk, West Jakarta, where you’ll work closely with data scientists, analysts, and software engineers to turn raw data into value.

What You’ll Do:

• Design, build, and maintain scalable data pipelines on AWS.
• Model and structure data for analytics, reporting, and ML‑readiness.
• Optimize data storage, query performance, and cost‑efficiency across cloud services.
• Collaborate with internal teams to understand data needs and deliver robust solutions.
• Implement data quality checks, monitoring, and documentation.
• Automate workflows using Glue, Lambda, Step Functions, or Airflow.
• Support secure access, governance, and compliance across data systems.

Who You Are:

• 2–4 years of experience in data engineering, preferably in a tech‑driven or digital service environment.
• Strong hands‑on experience with AWS data & compute services (S3, Glue, Redshift, EC2, Lambda, etc.).
• Proficient in SQL, Python, and data modeling (star schema, medallion architecture, etc.).
• Experience with ETL/ELT pipelines, workflow orchestration (e.g., Airflow, Step Functions), and CI/CD for data.
• Bonus: Familiarity with data lakehouses, CDC, real‑time streaming (Kinesis), or MLOps integration.
• Fluent in English — written and spoken.
• Collaborative, proactive, and passionate about building systems that last.

Why Join Us?

Because great data engineering isn’t just about moving data — it’s about making it mean something. At Insignia, you’ll have the autonomy to design, the support to grow, and the impact to show for it.

We offer:

• Performance‑driven environment with real ownership.
• A collaborative, fast‑moving culture with direct access to technical leads.
• Exposure to complex, high‑impact projects across industries.
• If you’re ready to build the backbone of intelligent systems, let’s talk.

Job Description

About the Role

We are building a new team for data analytics to modernize and deliver B2B products at high quality and efficiency. As a data engineer you will mostly work with modern data stack to grow and empower our teams and to monitor sales activities. A young mind with good work ethics is highly valued.

Qualification

Currently residing in Jabodetabek

1-2 years of experience in data engineering role

Have a degree in related to computer science OR at least 2 years of experience in data engineering

Have experience with Google Sheet, Python, SQL, bash scripting, dbt, and Tableau Public (Desktop)

Good understanding of SDLC, version control and deployment strategy

Preferably have demonstrable experience with one or more of these:

Snowflake

• Prefect, Dagster, or Astronomer
• Web scraping libraries and applications

What we offer

• Work‑from‑office hours: 8.30 AM PM
• 12 months contract, with the opportunity to have permanent role
• Complimentary coffee

Job Description

Job Title:

Data Science Engineer

About The Role:

To apply data science techniques and machine learning algorithms to solve business problems, improve decision‑making, and ensure the efficient deployment of models in production.

What Will You Do:

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Analyzing the ML algorithms that could be used to solve a given problem
• Exploring and visualizing data to gain an understanding of it
• Identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, and/or ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Defining the preprocessing or feature engineering to be done on a given dataset
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them
• Deploying models to production

What we are looking for:

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
• 4+ years of experience in data science, machine learning, or related fields.
• Data Science or Machine Learning certifications (e.g., Google Professional Data Engineer, Microsoft Certified: Azure Data Scientist).
• Experience with specific data science platforms (e.g., AWS Sagemaker, Google AI Platform) is a plus.

Soft Skill Requirements:

• Strong problem‑solving and analytical skills.
• Effective communication skills for presenting findings to stakeholders.
• Ability to work collaboratively in a team environment.
• Adaptability and a proactive approach to problem‑solving.

Technical Skill Requirements:

• Proficiency in data science tools and languages (Python, R, SQL).
• Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit‑learn).
• Strong knowledge of data processing, feature engineering, and model validation techniques.
• Experience with cloud platforms (e.g., AWS, GCP) and deployment of models to production.

Job Description

Responsibilities:

• Perform regular assessments and documentation of server and storage conditions.
• Conduct preventive and corrective maintenance for Dell systems.
• Monitor system health, capacity, and backup performance.
• Ensure OS, firmware, and configuration compliance.
• Identify and report hardware anomalies or failures.
• Maintain accurate records of maintenance and system updates.

Requirements:

• Minimum Diploma (D3) in Information Technology, Computer Engineering, or related field.
• 3 years of experience in server or storage support.
• Familiar with Dell systems (PowerMax, Unity XT, or similar).
• Knowledge of OS, firmware, and system monitoring tools.
• Good analytical and documentation skills.
• Willing to work in rotating (24/7) shifts.
• Willing to work under a 1‑year project‑based contract.

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