Data engineer in banking

With more than 10 years of experience in the national market, we have over 350 employees who share our DNA, and we position ourselves in the market with three main service offerings in technology and IT consulting: Strategy (Outsourcing, Team as a Service, Tech Academies); R&D (Internships, POC, Technology Laboratory); Nearshore. At ADENTIS, we put people at the center of our strategy. We are looking for a Data Visualization Engineer with 3 years of experience to join a team responsible for evolving a strategic data platform, contributing to the creation of robust, scalable, business-oriented analytical solutions.

• Developing and maintaining dashboards and semantic models in Power BI;
• Creating metrics, KPIs and performance indicators together with business areas;
• Modeling and optimizing complex, unified data models;
• Developing and monitoring ETL/ELT pipelines using Dataiku;
• Implementing and maintaining dbt projects, including tests, documentation and data lineage;
• Developing and optimizing advanced SQL queries in BigQuery;
• Using Python for data automation, transformation and integration;
• Managing workspaces, datasets and deployment processes in Power BI;
• Implementing Data Governance, Data Quality and Metadata Management best practices;
• Working with Cloud services in the Google Cloud Platform (GCP) ecosystem.

• Degree in Computer Engineering, Data Science or a similar field;
• At least 3 years of experience in similar roles;
• Fluent English (minimum C1);
• Solid experience in Power BI;
• Solid experience in DAX;
• Solid experience in Data Modeling;
• Solid experience in Advanced SQL;
• Solid experience in Python;
• Solid experience in dbt;
• Solid experience in Dataiku;
• Solid experience in BigQuery;
• Solid experience in Google Cloud Platform (GCP);
• Solid experience in Data Governance and Data Quality;
• Solid experience in Power BI Workspace Management.
• Будет плюсом: Experience in Analytics Engineering, Business Intelligence or Data Engineering; Knowledge of Apache Airflow / Cloud Composer; Experience with Terraform and Infrastructure as Code (IaC); Experience optimizing analytical workloads in BigQuery; Knowledge of data security, governance and privacy; Experience implementing multi-domain enterprise data models

• Work-life balance;
• Flexibility in the organizational routine;
• Health benefits for employees and their families;
• Team-building events;
• Agreements with more than 300 partners;
• Ongoing training through a professional training and certification center;
• Continuous support and feedback through a personalized plan;
• Career progression through objective and direct evaluations;
• Joining an international project with a strong focus on data and analytics;
• Exposure to leading technologies in the Data & Cloud market;
• A collaborative environment focused on innovation;
• Technical and professional growth opportunities;
• Hybrid work model;
• Ongoing training and career support;
• A very attractive salary and benefits package.