Jr. Data Engineer

Somethinc - BeautyHaul; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A fast-growing beauty company in Jakarta is looking for a Data Engineer to design and maintain data pipeline architectures. The role involves assembling complex datasets, optimizing processes, and collaborating with various teams to deliver actionable insights. Ideal candidates should have a Bachelor's in Computer Science, at least 1 year of experience in data engineering, and proficiency in AWS and programming languages like Python or Java. Join us and help disrupt the beauty industry through innovation.

Qualifications

• Proven experience in building and optimizing big data pipelines and architectures.
• Minimum of 1 year experience in a related field.

Responsibilities

• Design, create, and maintain optimal data pipeline architectures.
• Assemble large and complex datasets meeting functional and non-functional requirements.
• Identify and implement internal process improvements to enhance scalability.
• Develop and maintain ETL infrastructure for data extraction and loading.
• Build analytics tools to deliver insights on customer acquisition and operational efficiency.
• Collaborate with stakeholders to support data-related technical needs.

Skills

Strong analytical and logical thinking skills

Good communication skills

Fast learner with a strong willingness to adapt

Positive attitude and professional personality

Education

Bachelor's degree in Computer Science, Information Systems, or related discipline

Tools

AWS cloud services (EC2, Glue, Lambda, RDS, Redshift)

Programming languages (Python, Java, C++, Scala)

Job description

About the company

Beautyhaul is one of the fastest-growing beauty companies in Indonesia that aspires to be the largest vertically integrated beauty ecosystem from supply to retail.

Our first brand ''Somethinc'' was founded in 2019, and is currently the #1 skincare brand in e-commerce & modern trade with >1M social media followers. Our offline/online commerce Beautyhaul is the core for carrying multiple brands that we have directly to our customers. We are incubating more and more business models in our platform and aim to be a strong regional player in the beauty, within the South Asia region.

Job Description

• Design, create, and maintain optimal data pipeline architectures.
• Assemble large and complex datasets that meet both functional and non-functional business requirements.
• Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and infrastructure redesign for improved scalability.
• Develop and maintain infrastructure for efficient extraction, transformation, and loading (ETL) of data from various data sources using SQL and AWS big data technologies.
• Build analytics tools leveraging data pipelines to deliver actionable insights on customer acquisition, operational efficiency, and key business performance metrics.
• Collaborate with stakeholders including Executive, Product, Data, and Design teams to support data-related technical needs and resolve infrastructure issues.
• Work closely with data and analytics experts to continuously enhance the functionality and performance of data systems.

Requirements

• Fast learner with a strong willingness to adapt to new technologies.
• Strong analytical and logical thinking skills.
• Good communication skills with the ability to interact effectively across all organizational levels.
• Positive attitude with a pleasant and professional personality.
• Proven experience in building and optimizing big data pipelines, architectures, and datasets.
• Hands-on experience with AWS cloud services such as EC2, Glue, Lambda, RDS, and Redshift.
• Proficiency in object-oriented or functional programming languages (e.g., Python, Java, C++, Scala).
• Minimum of 1 year experience in a related field.
• Bachelors degree in Computer Science, Information Systems, or a related discipline.

We have a 'CREATED' culture (Collaboration, Responsible, Efficient, Agile, Tough, Extraordinary, Detail). We are looking for more people to join us, who are excited to disrupt the traditional beauty industry with product innovation and non-linear growth, who want to build a profitable start-up into a unicorn company, who will always learn and do the right thing.