Data Engineer

PT Mandiri International Technology; Jakarta Utara; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading technology firm in Jakarta Utara is seeking a Data Engineer to design and maintain scalable data pipelines. The ideal candidate has a Diploma in IT, proficiency in programming languages like SQL or Python, and experience with data processing technologies such as ETL tools. Responsibilities include collaborating with teams to ensure data quality and creating documentation. This role is essential for data automation and improvement initiatives.

Qualifications

• Minimum education: Diploma (D3) in any major, preferably in Information Technology, Computer Science, or related field.
• Experience in data engineering or software development aligned with the position level.
• Proficiency in at least one programming language such as SQL, Java, Python, or PHP.
• Hands-on experience with ETL tools and data processing technologies.
• Strong knowledge of relational and non-relational databases.
• Familiarity with data warehouse concepts and integration.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop and manage ETL processes for data accuracy.
• Work closely with cross-functional teams to deliver data solutions.
• Optimize database performance and ensure data quality.
• Create and maintain technical documentation.
• Support continuous improvement by implementing automation.

Skills

SQL

Java

Python

ETL tools

Data modeling

Analytical skills

Education

Diploma (D3) in Information Technology, Computer Science, or related field

Tools

ODI

Datastage

Talend

Pentaho

Oracle

MySQL

PostgreSQL

MS SQL

DB2

BigQuery

Job description

Job Description

• Design, build, and maintain scalable data pipelines to support data integration, transformation, and analysis across multiple systems.
• Develop and manage ETL (Extract, Transform, Load) processes to ensure data accuracy, consistency, and availability for business intelligence and analytics.
• Work closely with cross-functional teams, including Data Analysts, Software Engineers, and Business Units, to understand data requirements and deliver reliable data solutions.
• Optimize database performance and ensure data quality, governance, and security standards are met.
• Create and maintain technical documentation, including data flow diagrams, architecture design, and process descriptions.
• Support continuous improvement by implementing automation and adopting new data technologies or best practices.
• For higher-level roles: provide technical leadership, mentor junior team members, and contribute to strategic planning of data architecture and analytics initiatives.

Minimum Qualifications

• Minimum education: Diploma (D3) in any major, preferably in Information Technology, Computer Science, or related field.
• Experience in data engineering or software development aligned with the position level (Junior, Middle, or Senior).
• Proficiency in at least one programming language such as SQL, Java, Python, or PHP.
• Hands‑on experience with ETL tools and data processing technologies such as ODI, Datastage, Talend, or Pentaho.
• Strong knowledge of relational and non‑relational databases, including Oracle, MySQL, PostgreSQL, MS SQL, DB2, BigQuery, or Big Data ecosystems.
• Familiarity with data warehouse concepts, data modeling, and API/Web Service (SOAP/REST) integration.
• Understanding of ISO 8583 and financial/banking data flow is a strong advantage.
• Experience working in an Agile development environment and familiarity with Software Development Life Cycle (SDLC) best practices.
• Strong analytical and problem‑solving skills with the ability to translate business requirements into technical data solutions.
• For senior levels: proven experience in leading data engineering initiatives, architecture design, and mentoring team members.
• Experience or interest in AI/Gen AI or data automation tools is a plus.