Senior Data Engineer at Attest

At Attest, we are on a mission to help the world’s most ambitious brands put the consumer at the heart of every decision. Since our founding in 2015, we have built a powerful, self-serve consumer research platform that connects companies like Unilever, Klarna, and Walgreens with the insights they need to grow. With $90 million in venture capital backing and a team split between London and New York, we are constantly evolving to make high-quality research accessible to everyone. We believe in working together to win, and we are looking for a talented individual to help us scale our data capabilities as we continue to shape the future of market intelligence.

The opportunity

As a Senior Data Engineer, you will be the backbone of our data operations. You will join a cross-functional team dedicated to making our data processing more reliable, efficient, and scalable. Your work will directly empower our Data Scientists to extract meaningful insights, ensuring that our infrastructure can handle the demands of a fast-growing SaaS platform. You will take ownership of our data architecture and play a vital role in maturing our analytics offerings.

A day in the life

• Designing and implementing robust ETL pipelines to ingest and process data from a variety of sources.
• Building and maintaining the infrastructure that supports the entire machine learning lifecycle, from experimentation to deployment and monitoring.
• Collaborating with stakeholders to model data and optimize our analytics platform for high performance and reliability.

Who you are

You are a proactive problem solver who enjoys architecting systems that stand the test of time. You communicate clearly in English and thrive in a collaborative, hybrid environment. We are looking for someone who brings the following experience to the table:

• Strong proficiency in Python and extensive experience working with both relational SQL and NoSQL databases.
• Proven experience in building and maintaining data processing infrastructure and reporting architectures.
• Deep knowledge of modern data engineering tools such as Kubernetes, dbt, Terraform, and Redshift.
• A solid understanding of MLOps methodologies and the ability to streamline the development lifecycle for machine learning models.

Why you'll love it here

We believe in rewarding our team for their contributions and supporting their personal and professional growth. The salary range for this position is 110,000 USD to 136,000 USD. Beyond the compensation, we offer a flexible work environment that prioritizes your wellbeing and autonomy.

• Remote and hybrid work options that allow you to balance your professional and personal life effectively.
• A culture that values output over hours, giving you the freedom to choose how and where you work best.
• An inclusive, supportive atmosphere where your ideas are heard and your growth is encouraged.