Middle Data Analytics Engineer

N-iXPolandOn-siteFull-timeMid level, 2–5 yearsListed 1 week ago

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About this role

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