Senior Data Engineer

Artefact; Daerah Khusus Ibukota Jakarta; On-site; IDR 1.002.841.000 - 1.504.263.000; Full time

Job summary

A data service company is looking for a Senior Data Engineer in Jakarta. The role requires expertise in SQL, Python, and data technologies. You will design and maintain robust data pipelines while leading a team to achieve quality deliverables. Candidates should have a degree in a relevant field and at least 4 years of experience in data engineering.

Qualifications

• 4+ years of experience in data engineering.
• Strong proficiency in SQL and Python.
• Experience with Databricks and Snowflake.

Responsibilities

• Design data pipelines using various technologies.
• Lead data system integration and ensure data consistency.
• Manage a team of data engineers, providing guidance.

Skills

SQL

Python

Big data technologies

Databricks

Snowflake

CI/CD principles

Leadership

Project management

Problem-solving

Communication

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

AWS

GCP

Apache Airflow

Azure Data Factory

Pyspark

Job description

About Us

Artefact is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organisations transform data into value and business impact.

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.

We have 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.

About The Role

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.
• 4+ 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 leading large scale data engineering projects.
• Excellent understanding of data architecture including data mesh, data lake and data warehouse.

Our Belief

We believe data is changing the world, and it's just the beginning. We want this to be done in the right way, with transparency and ethics. This is the only way to create sustainable impact for business and society.

Our Mission

We are on a mission to build the next generation of data leaders who:

• Fully capture the power of data & digital to deliver business value
• Bring understanding, trust & transparency of data into our society

Our Values

Collaboration : People of different background and expertise working closely together; Trust & Transparency: Dealing with data topics with integrity and ethics; Realistic and honest with our capabilities and limitations; Innovation: Always working on the most trendy and new topics on data and digital; Always on top of the new ways of using data; Action: We would rather do than to tell what to do; Has a "building the plane while flying" agile mentality.

Our Unique Attributes

We bring great value to business and create a better society with the understanding, transparency and ethical use of data ; We build the next generation of data leaders ; We disrupt the market : Data Native - Born with data and defining data ; ART + SCIENCE - Mixture of talents in ART (Creative, Planning, Media, Consumer Engagement) and SCIENCE (Data Consulting, Data Science, Data Engineer) ; One P&L - Integrated & collaborative, with all chapters working toward the same goal ; End to End - Capabilities from Strategize to Build to Run.

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