Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Riachuelo

Senior Analytics Engineer, DBM

Riachuelo

Analytics Engineer Sr developing data pipelines and analytics solutions for Brazil's retail industry. Collaborating with marketing and product teams to optimize data usage and performance.

Posted 4/2/2026full-timeSão Paulo • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies
PySparkPythonSQL

About the role

Key responsibilities & impact
  • Develop, maintain and evolve data pipelines for collection, ingestion, transformation, and provisioning of information in an analytical environment;
  • Ensure data quality, integrity, and consistency through validations, monitoring, and handling of pipeline failures;
  • Process and analyze large volumes of data using Databricks, SQL, and advanced transformation and analytical exploration techniques;
  • Identify patterns, trends, and optimization opportunities from data, supporting process improvements and business outcomes;
  • Develop and optimize code for automation of analytical processes and data integration;
  • Work on optimizing operational processes, reducing manual tasks, and increasing efficiency and scalability of routines;
  • Structure, document, and evolve data flows and processes, identifying bottlenecks, dependencies, and opportunities for continuous improvement;
  • Create interactive Power BI dashboards tailored to business area needs;
  • Collaborate with marketing, sales, and product teams to align metrics and objectives.

Requirements

What you’ll need
  • Degree in Engineering, Data Science, Statistics, IT, or related fields;
  • Experience with Databricks, Power BI, SQL, and process automation;
  • Experience with programming languages (Python, PySpark) for automation;
  • Ability to create adaptable, data-exploration-oriented dashboards;
  • Good communication skills and ability to work collaboratively.
  • Preferred qualifications:
  • Knowledge of process mapping and modeling tools (e.g., BPMN);
  • Knowledge of machine learning and predictive analytics;
  • Familiarity with CRM and digital marketing tools.

Benefits

Comp & perks
  • Health insurance;
  • Dental insurance;
  • Meal allowance;
  • Food allowance;
  • Telemedicine;
  • Gympass;
  • Childcare assistance;
  • Cultural allowance;
  • Home office allowance;
  • Profit-sharing (PLR);
  • Private pension plan;
  • Group life insurance;
  • Pharmacy discount program;
  • Educational partnerships;
  • Online learning platform;
  • Discounts at Riachuelo.

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data pipelinesdata qualitySQLDatabricksPythonPySparkprocess automationmachine learningpredictive analyticsdata transformation
Soft Skills
communicationcollaborationadaptabilityproblem-solvinganalytical thinking