Remote AI Data Analytics Engineer

Toptal; Województwo mazowieckie; Remote; PLN 150,000 - 230,000; Full time

Job summary

Toptal is hiring a Data Analytics Engineer to own our data transformation layer and data warehouse, ensuring governance, quality, and accessibility for analytics across the organization. You will collaborate with Data Engineers, Business Analysts, and Data Scientists to turn business questions into reliable data products using SQL, Python, and AI-augmented tooling.

This remote role requires strong SQL, experience with modern data stacks, and the ability to communicate complex data insights

Qualifications

• Bachelor’s degree in engineering or related technical field.
• 4+ years in Analytics Engineer / Data Engineer / Data Analyst role shipping production data models.
• Expert-level SQL and working knowledge of Python.
• Fluency with LLMs and agentic coding tools (Claude Code, Cursor or equivalent).
• Experience with cloud data warehousing (BigQuery or Snowflake).
• Understanding of modern transformation frameworks (dbt, Dataform, SQLMesh).
• Git fluency; experience with PRs and code review.
• Familiarity with orchestration tools (Airflow, Cloud Composer, Dagster, Prefect).
• Experience in exploratory/raw data analysis, data modeling, and governance.
• Ability to translate business logic into SQL and link analytics to business strategy.
• Familiarity with BI tools (Tableau, Power BI).
• Strong written and verbal communication; team player.

Responsibilities

• Design, write, review and ship SQL models that transform raw data into usable data products.
• Collaborate with Data Engineers to add and publish new data sources in the warehouse.
• Monitor data warehouse and extract insights to improve data quality and usability.
• Turn business asks into modeled data and define business rules.
• Improve data quality, lineage, and access controls across source databases.
• Own data dictionary and documentation for AI agents and semantic layer.
• Diagnose and resolve data incidents and review teammates’ code.
• Work with Business Analysts, Data Engineers, Data Scientists to empower data-driven decisions.
• Help users understand data complexities and limitations.
• Improve team tooling, playbooks, and documentation for warehouse operations.

Skills

SQL

Python

LLMs

Agentic tools

Git

Airflow

BI tools

Data modeling

Education

Bachelor's degree in Engineering or related technical field

Tools

BigQuery

Snowflake

dbt

Dataform

SQLMesh

Airflow

Tableau

Power BI

Job description

Toptal is hiring a Data Analytics Engineer to own our data transformation layer and data warehouse, ensuring governance, quality, and accessibility for analytics across the organization. You will collaborate with Data Engineers, Business Analysts, and Data Scientists to turn business questions into reliable data products using SQL, Python, and AI-augmented tooling.

This remote role requires strong SQL, experience with modern data stacks, and the ability to communicate complex data insights