About the role
Luza is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside.
We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others.
Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity.
Its time to burst the bubble, and we will do it together!
What You'll do:
Design, develop and maintain scalable data engineering solutions using Azure Databricks and/or Microsoft Fabric.
Build and optimise Power BI dashboards and reports, including data modelling, DAX development and performance optimisation.
Develop and manage ETL/ELT processes to ensure reliable, consistent and high-quality data for BI consumption.
Work with Azure Cloud data platforms, particularly Data Lakehouse architectures and modern data integration solutions.
Design and query databases, leveraging strong SQL skills and Data Warehousing concepts.
Translate business requirements into meaningful KPIs, metrics and actionable insights.
Collaborate with technical teams and business stakeholders to deliver effective data solutions.
Support and guide end users in the adoption of BI and reporting tools.
Identify opportunities to improve data processes, reporting capabilities and business decision-making through data-driven insights.
What You Are:
Hold a Bachelor's degree in Computer Engineering, Information Systems or an equivalent qualification.
Bring at least 3 years of proven experience in Data Engineering, working with Azure Databricks and/or Microsoft Fabric.
Demonstrate solid experience in Power BI, including dashboard development, data modelling, DAX and performance optimisation.
Have experience with BI and reporting tools, with a strong focus on end-user needs and adoption.
Possess solid knowledge of databases and SQL, alongside an understanding of Data Warehousing concepts.
Understand ETL/ELT processes, data transformation and modelling principles, ensuring data consistency and quality.
Have proven experience in Azure Cloud projects involving Data Lakehouse architectures.
Demonstrate familiarity with modern Cloud environments and data integration platforms.
Be able to translate business needs into clear metrics, KPIs and meaningful insights.
Communicate effectively and collaborate with both technical and non-technical stakeholders.
Be passionate about working with data and delivering tangible business value through actionable insights.
What youll get:
Wage according to candidate's professional experience;
- Remote Work whenever possible;
Allocation of health insurance from the beginning of the employment;
Delivery of work equipment adjusted to the performance of functions;
- And others.
Work together with expert teams on projects of large magnitude and intensity, long term together with our clients, all leaders in their industries.
Are you ready to step into a diverse and inclusive world with us?
Together we will promote uniquess!
Originally posted on Himalayas