Senior NiFi Data Engineer - Cloud Pipelines & ML

7500 PT Accenture Company; Kota Semarang; On-site; IDR 360,000,000 - 540,000,000; Full time

Job summary

Accenture Indonesia is seeking a data engineer to design and optimize scalable data pipelines and drive data-driven transformation. You will collaborate with cross-functional teams, apply DevOps practices, and help maintain data quality, security, and governance across data activities.

Key skills include SQL, Python/PySpark, and experience with cloud data warehouses and ETL tools. Willingness to travel and strong English proficiency are expected in a multinational environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Internship or experience in data engineering or related area.
• Proficiency in SQL and Python (or PySpark).
• Familiar with data warehouses: Azure Synapse, Databricks, Snowflake, SQL Server, or BigQuery.
• Familiar with ETL tools: Data Factory, dbt, Airflow, NiFi or Informatica.
• Familiar with cloud platforms: Azure, AWS, or GCP.
• Strong analytical and problem-solving skills; collaborative mindset in multinational environments.
• Willingness to travel and proficient in English.

Responsibilities

• Assist in developing and optimizing scalable data pipelines and workflows in cloud environments.
• Support senior data engineers and architects by gathering requirements and defining data models.
• Apply DevOps practices, including Git workflows and CI/CD involvement.
• Help maintain data quality, security, and governance across data activities.
• Collaborate with cross-functional teams to align data solutions with business needs.
• Research, design, build, and implement ML systems, and improve existing ones.

Skills

SQL

Python

PySpark

Cloud Platforms

CI/CD

Education

Bachelor's degree in CS/Eng

Tools

Azure Synapse

Databricks SQL

Snowflake

Airflow

dbt

Job description

Accenture Indonesia is seeking a data engineer to design and optimize scalable data pipelines and drive data-driven transformation. You will collaborate with cross-functional teams, apply DevOps practices, and help maintain data quality, security, and governance across data activities.

Key skills include SQL, Python/PySpark, and experience with cloud data warehouses and ETL tools. Willingness to travel and strong English proficiency are expected in a multinational environment.