Senior Data Engineer (Indonesia, Jakarta)

Who we are Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have over 1500 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Job Summary We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms. Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing. Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations. Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables. Develop and enforce best practices in data governance, security, and compliance within the organisation. Optimise data retrieval and develop dashboards and reports for business teams. Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function. Qualifications Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. 6+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies. Certification in AWS and/or GCP Demonstrated experience with Databricks and Snowflake. Solid understanding of CI/CD principles and DevOps practices. Proven leadership skills and experience managing data engineering teams. Strong project management skills and the ability to lead multiple projects simultaneously. Excellent problem-solving skills and the ability to work under tight deadlines. Strong communication and interpersonal skills. Experience in the leading large scale data engineering projects Excellent understanding of data architecture including data mesh, data lake and data warehouse.

Design, build, and maintain scalable data pipelines while leading the integration of complex data systems. Oversee a team of data engineers and collaborate with stakeholders to implement data governance and best practices.

Requires a Bachelor's or Master's degree in Computer Science or Engineering and 6+ years of industry experience in data engineering. Candidates must possess strong technical proficiency in big data technologies and proven leadership experience.

• SQLPreferred
• CI/CDPreferred
• LeadershipPreferred
• Project managementPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• SQL
• Python
• Databricks
• Snowflake
• Azure Data Factory
• AWS Glue
• Apache Airflow
• Pyspark
• Data Engineering
• CI/CD
• DevOps
• Data Architecture
• Data Governance
• Leadership
• Project Management
• Data Lakes
• Snowflake (Data Warehouse)
• Digital Transformation
• Continuous Deployment
• Agile Methodology
• Artificial Intelligence
• Amazon Web Services
• Big Data
• Business Continuity Planning
• Dashboard
• Business Requirements
• Communication
• Computer Science
• Data Processing
• Consulting
• Continuous Integration
• Data Retrieval
• Data Warehousing
• Digital Marketing
• Scalability
• Interpersonal Communications
• Problem Solving
• Python (Programming Language)
• Mentorship
• SQL (Programming Language)
• ANSYS Meshing
• PySpark
• Data Pipelines

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting
• Data Engineer
• Software Developers
• Database Administrators

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week