Senior Data Engineer

Talent Insider; Jawa Barat; On-site; IDR 200.000.000 - 300.000.000; Full time

Job description

Outstanding Senior Data Engineer Opportunities

Job #1: Data Engineer (Consulting Team)

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 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 #2: Data Science Engineer

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 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 #3: Data Engineer – PT Mitra Solusi Telematika (MST)

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

Primary Responsibilities

• 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 #4: Mid‑Level Data Engineer – Insignia

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.

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.

Job #5: Data Engineer – Accord Innovations (3‑Month Contract)

Accord Innovations is hiring Data Engineer (3‑Month Contract). Looking for a Data Engineer to join our client in the Technology Industry for a 3‑month project contract.

Requirements

• 1+ year of experience as a Data Engineer or similar role.
• Proficient in Python (primary), Java, or Scala.
• Hands‑on experience with Apache Kafka & stream processing.
• Familiar with RisingWave, ClickHouse, or similar analytical databases.
• Strong in SQL/NoSQL, data modeling, and ETL/ELT pipelines.

Nice to Have

• Familiarity with AWS / GCP / Azure (S3, BigQuery, Redshift, etc.).
• Experience using Grafana, Prometheus, or Kibana for monitoring.
• Strong performance tuning & data governance awareness.

Location: Hybrid – Depok

Contract Duration: 3 Months (extendable)

Job #6: Data Engineer – Insignia (AWS Focus)

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

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.

What 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 #7: Data Engineer – Agile Contractor (Contract Based)

Perform application system development related to Realtime Engine System, Big Data.

Primary Responsibilities

• 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 experience.
• Willing to located in Bintaro.

Job #8: Data Engineer – Remote (Cloud & Kafka)

Must have:

• Proven experience as a Data Engineer or similar role with a strong track‑record of designing and implementing data solutions.
• Proficiency in programming languages such as Python (primary), Java, or Scala.
• Hands‑on experience with stream processing and CDC pipelines, particularly using Apache Kafka.
• Experience with analytical databases and real‑time data warehouses, especially RisingWave and ClickHouse.
• Solid understanding of database concepts (SQL & NoSQL), including query optimization for high‑performance analytics.
• Familiarity with data ingestion pipelines, ETL/ELT processes, and system integrations.
• Strong knowledge of data modeling, partitioning, and schema evolution in streaming/analytical environments.

Nice to Have

• Experience with cloud platforms (AWS, GCP, or Azure) and services such as S3, BigQuery, Redshift, EMR, or EC2.
• Familiarity with observability and monitoring tools (e.g., Grafana, Prometheus, Kibana) for data pipeline monitoring.
• Experience in performance tuning for highly concurrent workloads.
• Basic understanding of data governance, security, and compliance practices.

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