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Senior Analytics Engineer - Databricks / BI

RemodevsPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano30 października 2026
Wykryte przez nas
Wykryte przez nas31 października 2026
Zarobki
Zarobki23 520 - 28 560 PLN

RemoDevs is seeking a Senior Analytics Engineer to join a long-term initiative focused on delivering reliable data pipelines and executive-ready analytics for global enterprise brands. You will bridge the gap between backend cloud data platforms and front-end business intelligence, designing scalable solutions that turn raw data into actionable intelligence.

Key responsibilities

  • Lead the development and maintenance of reusable, analysis-ready datasets and models tailored for reporting and advanced analytics.
  • Design and implement scalable ingestion and transformation pipelines using Alteryx, Databricks SQL, PySpark, and Azure services.
  • Build and enhance interactive dashboards in Tableau and Power BI to translate business questions into actionable insights.
  • Orchestrate and automate ETL and ELT workflows utilizing tools such as Databricks Workflows or Azure Data Factory.
  • Own data modelling and metric definitions to ensure consistency across analytical assets and business KPIs.

Requirements

  • At least 3 years of hands-on experience in analytics engineering, cloud data platforms, and enterprise BI solutions.
  • Strong proficiency with the Databricks platform, including Python, PySpark, SQL, and Delta Lake.
  • Demonstrated experience with Alteryx for automated ETL and data preparation workflows.
  • Extensive experience developing interactive dashboards in Tableau or Power BI.
  • Solid understanding of dimensional data modelling, semantic layers, and Git-based version control.

What we offer

  • Opportunity to work on high-impact projects for world-renowned enterprise brands.
  • Access to technical mentorship and a supportive engineering community.
  • Fully remote work environment focused on professional growth and complex data challenges.

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