Data Engineer

Ambyint is a SaaS company that provides an Industrial IoT platform, leveraging physics-influenced AI models, plus closed-loop control to enable autonomous operations. As a result, we are an instrumental part of the climate technology evolution and a market leader in production optimization for the energy industry. We deliver step-change improvements to our customers by combining advanced physics, subject matter expertise, and data-informed insights with AI to automate operations and production optimization workflows. We’re coming off a strong year and are setting even higher ambitions for the future. To help us reach the next level, we’re looking for a Data Engineer to join our team.

As a Data Engineer at Ambyint, you will report to the Data Science and Data Engineering Lead. In this position, you’ll be responsible for designing, implementing, and maintaining scalable streaming and batch data pipelines. Your work will empower our teams to leverage data effectively, creating new data-driven processes that add significant value to our artificial lift optimization platform.

You’ll be instrumental in driving our data architecture forward, ensuring data quality, optimizing performance, and enhancing security and cost-efficiency across the platform. Working closely with data scientists, software engineers, and other cross-functional teams, you'll play a critical role in unlocking the full potential of our data.

We’re looking for someone who thrives in a fast-paced, collaborative environment, values continuous learning, and has a passion for building high-quality data infrastructure. If you are excited by the opportunity to contribute to an innovative cloud-based platform and have a strong background in data engineering, we’d love to meet you.

WHAT YOU'LL DO

• Architect, design, and implement scalable data infrastructure to move, process, and serve data efficiently
• Develop and maintain data pipelines using best practices in DataOps, including CI/CD, unit testing, and documentation
• Improve and optimize existing data pipeline architectures for better performance and cost efficiency
• Design and manage cloud-based data warehouses or data lakes to support data storage and retrieval
• Collaborate with data scientists, analysts, and software teams to develop and deliver data products for analytics and reporting
• Implement data quality monitoring, validation processes, and governance policies to ensure data consistency and accuracy
• Secure and maintain data infrastructure with a focus on SOC2 compliance and best practices for data security
• Design, monitor, and optimize performance metrics and warehouse consumption KPIs
• Stay up to date with emerging technologies, best practices, and industry trends to continuously improve our data practices

QUALIFICATIONS

• Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent experience
• 5+ years of experience in data engineering or similar roles, with a focus on scalable data pipelines
• Expertise in database development and SQL (including views, procedures, DML, and DDL)
• Experience with Snowflake is required
• Strong knowledge of ELT/ETL tools like dbt, Matillion, Fivetran, Kafka Connect, or Stitch
• Hands-on experience with CI/CD practices and tools such as CircleCI, Terraform, and GitHub
• Proficiency in at least one object-oriented programming language (e.g., Python, Scala, Java, C#)
• Experience with data pipeline concepts (ETL/ELT) and familiarity with data warehouse design principles
• Strong communication and collaboration skills to work with cross-functional teams
• Excellent problem-solving abilities, with attention to detail and a focus on high-quality deliverables
• Ability to manage multiple projects simultaneously in a fast-paced environment

WHAT SETS YOU APART

• You take pride in delivering high-quality data solutions that directly impact customer success
• You’re efficient, reliable, and always deliver on your promises.
• Collaboration is key to your success, and you excel at working with cross-functional teams.
• You’re always learning, improving, and embracing feedback as a chance to grow.
• You care about building user-friendly solutions that make a real difference for customers.
• You’re curious, creative, and love solving problems through experimentation.
• You approach every challenge with humility and are open to learning from others.

WHAT SETS US APART 

Ambyint is a scale-up company, possessing all the exciting edginess of a start-up with solutions that are proven and advancing daily. We pride ourselves on the strength of our team and company, and the positive environmental impact we are driving. We live by a simple and effective set of values. 

WHAT’S IN IT FOR YOU 

The opportunity to make a difference in a cutting-edge technology company that is highly spirited and focused on being a leading contributor in the energy transition space. We offer an environment steeped in creating a rewarding professional experience and having some fun along the way. We work in a hybrid working environment with a diverse and talented team. We have a passion for taking on big challenges to create a wealth of opportunities and we will support your development and career goals. Additionally, we offer a competitive compensation and benefits package. 

COMMITMENT TO DIVERSITY, EQUITY, & INCLUSION 

At Ambyint, diversity, equity, and inclusion are at the core of who we are. Our commitment to these values is unwavering – across all of our work, teams, and interactions with customers. They are central to our mission and to our impact. The understanding that having varied perspectives and backgrounds helps generate richer ideas to solve the complex problems of a changing, and increasingly diverse world is paramount to who we are and how we work together as a team. 

If you are a passionate professional that likes to work in a diverse team environment supporting an entrepreneurial culture with a focus on delivering exceptional value for our customers, we invite you to apply. This is your opportunity to join a growing company offering a competitive base salary and benefits.