Middle Data Analytics Engineer

We are looking for a Middle Data Analytics Engineer to build reusable, production-grade pipelines that power our data deals, which are large-scale curated training sets for leading AI labs. You’ll ship engineering solutions with immediate revenue impact and collaborate with some of the world’s largest AI companies.

Responsibilities

• Work with the business development (BD) team, content experts, data science, and engineering teams to understand customer requirements and available metadata.

• Map customer requirements to our existing metadata and apply data modelling practices to maximize reusability and scalability

• Build DBT models that are capable of querying up to 1B rows efficiently

• Refine DBT models based on visual QA to ensure accurate datasets at scale.

• Propose and implement automated solutions that streamline the curation process and increase scalability.

• Serve as the engineering point of contact, partnering with Business Development to ensure accurate timelines, clear requirements, and manage all technical implementation pieces of the workflow

• Assist the expansion of the data curation workflow to accommodate data science approaches within DBT, streamline the review process to ensure a more rigorous statistical approach with more comprehensive testing

Requirements

• Strong SQL background with an understanding of query optimization and Snowflake experience.

• DBT experience preferred.

• Great communication skills.

• 3-5 years of experience in analytics/data engineering.

• Perform code reviews and collaborate with the team to create an optimized ecosystem.

Nice to have

• BigQuery.

• Python.

• ClickHouse.

• Experience delivering projects in an operational environment.

• Interest in data science to aid the understanding of customer use cases.

• Interest in photography, music and video creation.

We offer*:

• Flexible working format - remote, office-based or flexible

• A competitive salary and good compensation package

• Personalized career growth

• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)

• Active tech communities with regular knowledge sharing

• Education reimbursement

• Memorable anniversary presents

• Corporate events and team buildings

• Other location-specific benefits

*not applicable for freelancers