Senior Analytics Engineer (Warsaw)

16k - 22k PLN16 000 - 22 000 PLN/ mies./ mies.B2BB2B (netto)

12.8k - 17.6k PLN12 800 - 17 600 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

NieokreśloneOn-site·WarszawaFull-time·B2B·Umowa o pracę

#473057·Dodano 2 dni temu·2

Źródło: Fresha

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Tech Stack / Keywords

SQLdbtPythonFivetranAirflow SnowflakePlotlyStarrocksMetabaseELT

Podsumowanie oferty

As an Analytics Engineer, Product, you will model and validate data for Fresha’s product and business decision-making. The role focuses on data products for the beauty and wellness domain, using SQL and dbt.

Wymagania

Expert knowledge of SQL.
Experience building and testing high-quality data modelling pipelines.
Understanding of data platform and data warehousing concepts.
Familiarity with modern data stack components; dbt is required.
Interest in improving the performance and efficiency of data models and systems, with support and guidance from senior team members.
Good communication skills in English at C1 or higher, and willingness to collaborate with team members and stakeholders to understand requirements and share progress.
Desire to contribute to product development decisions through data architecture best practices and analytical insights.
Creative thinking and problem-solving abilities, with a proactive and autonomous approach to work.
Proficiency in using AI tools responsibly to deliver reliable results while maintaining control.

Nice to have:

Good Polish language skills.
Experience driving product decisions and taking ownership of features.
Familiarity with Fivetran, Airflow, Snowflake, Plotly, Starrocks, and Metabase.
Experience writing ELT pipelines with SQL and Python.
Experience working in fast-paced companies.
Experience fine-tuning and controlling AI tools.

Obowiązki

Develop, test, and maintain dimensional data models using first-party data and data from third-party APIs, SFTPs, and other external sources.
Improve data model efficiency and performance by increasing accessibility and ease of use, reducing runtimes, and eliminating waste.
Build and maintain high-quality internal and external data products.
Advise product development on analytical requirements for new feature releases and ensure the data warehouse incorporates those changes.
Analyse feature performance and support product operations using analytical queries and dashboards.
Develop data documentation to maintain consistency in team understanding and communication.

Benefity

RSUs.

Udziały pracownicze

Fresha

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