Senior Data Engineer

Unravel Carbon; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

Unravel Carbon is seeking a Sr. Data Engineer to lead a growing data team in Singapore. You will own the end-to-end data platform, maintain the Carbon Database, and build pipelines that deliver clean data to stakeholders and customers.

You will work closely with ML engineers, software engineers, and sustainability experts to ship data products that drive strategic decisions. Strong Python/SQL skills and cloud/data warehouse experience are essential.

Qualifications

• 4+ years in data engineering or software engineering roles in tech or data-centric businesses.
• Proven track record shipping data engineering solutions to production.
• Experience in Python as primary language and SQL.
• Strong problem-solving, analytical skills and curiosity.
• Ability to work independently with minimal guidance and communicate across functions.
• Familiar with AWS, GCP or Azure and Snowflake/Databricks/BigQuery; experience with non-relational databases is a bonus.
• Interest in AI and building agents is a plus.

Responsibilities

• Own end-to-end data platform stack including analytical databases, orchestration, dashboards and automations.
• Maintain proprietary Carbon Database powering emissions estimates engine.
• Design, implement and maintain data pipelines from multiple sources.
• Develop and maintain data warehouse and storage systems for high-quality data.
• Develop data quality checks and monitoring systems.
• Collaborate with data scientists, analysts and sustainability teams to provide clean data.
• Lead and mentor a small data engineering team.
• Stay updated with latest data engineering technologies and internal AI automations.

Skills

Python

SQL

Problem solving

Analytical skills

Independent work

Cross-functional communication

Curiosity

AI familiarity

Mentorship

Tools

AWS

GCP

Azure

Snowflake

Databricks

BigQuery

MongoDB

Airflow

Job description

Unravel Carbon is building the agentic platform for sustainability, helping companies and consultants manage their sustainability data and make strategic decisions. As the first AI-powered decarbonization platform in Asia, we convert accounting data into full supply chain carbon data in minutes, automatically generate climate solutions, and auto-populate regulatory disclosure reports.

Our mission is to accelerate the participation of all companies, big and small, in the global fight against climate changemaking it autonomous, painless, and beautiful.

Founded in Q4 2021 and headquartered in Singapore, our team consists of software engineers, data scientists, founders, and climate experts united by a passion to solve climate change. We're backed by world-class investors including Y Combinator, Sequoia, Alpha JWC, Rebel Fund, and Bradley Horowitz.

ABOUT THE ROLE

We are looking for a Sr. Data Engineer to lead our growing team to fight climate change. This role is a tech lead role with high autonomy and opportunity for growth. You will manage a small team initially and are looking to grow into a manager role as the company grows.

As the data team, we strive to design and build data products and systems that are reliable, scalable, and maintainable. Some of the traits that we promote within the team are ownership, curiosity, transparency, and a strong writing culture. As an early team member, you will be expected to help shape our product direction and to strengthen the team’s culture.

You will collaborate closely with ML engineers, software engineers, data analysts, and sustainability experts to ship products that create value and solve problems for our customers.

WHAT YOU WILL WORK ON

Own the entire end-to-end data platform technology stack which includes our analytical databases, orchestration layer, dashboards and automations.

Assist to maintain our proprietary Carbon Database which powers the engine for emissions estimates.

Design, implement and maintain data pipelines to collect, process and store data from various sources.

Develop and maintain our data warehouse and other complementary data storage systems to ensure high quality data.

Develop and maintain data quality checks and monitoring systems.

Collaborate with data scientists and analysts as well as other teams such as sustainability to provide clean data in systems that serve internal stakeholders as well as Unravel Carbon’s customers.

Lead and mentor a small team of data engineer.

Stay up-to-date with the latest data engineering technologies and tools.

Work on internal AI automations

ABOUT YOU

You have >4 years of experience in data engineering/software engineering roles in technology and data-centric businesses

You have driven high business impact and shipped data engineering solutions to production.

You have experience in Python as the main programming language and SQL

You possess excellent problem-solving and analytical skills.

You are curious, eager to learn and ask good questions.

You see the potential of AI and are excited to leverage AI and build agents

You can be independent in your work, planning and executing tasks with minimal guidance, depending on the task.

You enjoy speaking and communicating with others across functions to better understand their needs.

You thrive in an environment that is fast-paced and where everyone cares deeply.

You have experience with AWS / GCP / Azure and Snowflake/Databricks/Bigquery

You have some familiarity with MongoDB or other non-relational databases

You have experience working on data engineering projects or with data engineering tools like orchestration tools.

WHAT WE OFFER YOU

We offer an exciting challenge for a purpose-driven person who thoroughly enjoys learning and takes up responsibilities in a multi-cultural, primarily virtual, and pioneering organization.

We nurture a culture that allows you to thrive, where your skills can be honed and your ideas will be heard, and where collaboration across teams and with global partners is the default.

At Unravel Carbon, we are committed to cultivating a workplace that celebrates and values diversity, promotes equity, and ensures inclusion for all employees. Our commitment to DEI is foundational to our culture, guiding our actions, policies, and practices. We are committed to implement unbiased recruitment strategies, diverse candidate sourcing, and inclusive hiring practices to attract and retain talent from varied backgrounds.