Senior Data Engineer

We are seeking a Senior Data Analytics Engineer who can take ownership of analytics ecosystems end-to-end (full-stack) from raw data ingestion to business-ready dashboards.

The ideal candidate has a blend of data engineering skills and an eye for storytelling through data. Youll work with Python Databricks ADF Snowflake MS Fabric and SQL to build robust data pipelines and use Power BI DAX and Power Query to deliver actionable insights.

You will play a critical role in designing developing and maintaining end-to-end data solutions from building robust data pipelines and models to delivering insightful dashboards and visualizations that empower informed decision-making across the organization and for our clients.

Key Responsibilities:

• Design build and maintain robust data pipelines and data models using tools such as Python Databricks Azure Data Factory Snowflake MS Fabric and MS SQL to ensure accurate reliable and scalable data flows from source to dashboard. Work may also involve other modern data platforms and cloud technologies as needed
• Create dynamic interactive Power BI dashboards and reports tailored to meet business needs. Ensure visualizations are user-friendly visually compelling and deliver meaningful insights for decision-makers
• Ingest transform and model large datasets efficiently. Optimize ETL/ELT workflows SQL queries and Power BI data models to deliver high-performance analytics solutions
• Partner closely with business users and data consumers to gather requirements define KPIs and translate business objectives into technical data pipelines and analytical models
• Continuously monitor and improve data pipeline and dashboard performance. Implement best practices in data validation quality checks and system optimization to ensure fast reliable reporting
• Maintain comprehensive documentation for data pipelines models dashboards and processes to support transparency reproducibility and cross-team collaboration
• Stay current with the latest developments in data engineering BI tools and cloud technologies. Proactively recommend and implement improvements to enhance efficiency and analytical capabilities.

• Bachelors degree in Computer Science Information Technology Data Science or a related field
• 5 years of hands-on experience working across the data lifecycle including data engineering modeling and business intelligence development whether in a single full-stack role or through multiple complementary positions
• The ability to showcase previous work through a GitHub repository portfolio of reports/dashboards or other demonstrable project examples is highly valued

Technical Proficiency:

• Proven experience designing developing and maintaining end-to-end data solutions across both data engineering and business intelligence domains
• Strong proficiency in Python for data processing automation and integration
• Hands-on experience with Azure Data Factory (ADF) Databricks and Microsoft Fabric for building and orchestrating ETL/ELT pipelines
• Solid understanding of data warehousing and data modeling principles (e.g. star/snowflake schemas dimensional modeling)
• Proficiency in SQL and experience with MS SQL Server Snowflake PostgreSQLandOracle / PL-SQL
• Exposure to NoSQL databases such as MongoDB and big data ecosystems (e.g. Spark Delta Lake Azure Data Lake Hadoop or similar distributed data technologies)
• Familiarity with data integration tools and API-based data ingestion is a plus.

Business Intelligence & Visualization:

• Advanced expertise in Power BI including Power Query (M language) DAX and data model design
• Ability to create interactive visually compelling and performance-optimized dashboards for business stakeholders
• Understanding data storytelling KPI design and user experience principles in dashboarding

Performance & Optimization:

• Skilled in query tuning data pipeline optimization and efficient model design for large datasets
• Experience troubleshooting performance issues across both backend and BI layers

CI/CD:

• Experience implementing CI/CD pipelines for data workflows and BI assets using Azure DevOps Git or similar tools
• Familiarity with source control management for Power BI datasets notebooks and data pipeline code
• Ability to manage deployment workflows in Microsoft Fabric
• Understanding branching strategies code review processes for data and analytics projects
• Commitment to maintaining version-controlled auditable and reusable analytics solutions across the data stack

Data Science (Nice to Have):

• Experience with data science and statistical analysis including exposure to machine learning models predictive analytics or forecasting techniques
• Familiarity with R or Python libraries such as scikit-learn pandas or TensorFlow for data exploration and model development.

• A dynamic and multinational environment with dedicated professionals who are ready to share their knowledge with you;
• Soft skills and technical training for current and emerging products and technologies;
• Career development: opportunity to grow within the team;
• Special referral bonuses for recommending your friends;
• Private Medical subscription;
• Meal tickets;
• Extra vacation days;
• Flexible working hours and work from home aligned with project needs;
• Friendly team who is eager to meet you.

We are the Stefanini group a global tech consulting company of Brazilian origin that believes in the power of people to transform businesses through technology.

We are present in over 40 countries and operate with the purpose of co-creating solutions TOGETHER WITH OUR CLIENTS that accelerate results and improve the experience of people and organizations.

Here we like to say that technology is not the end but the means: what really matters are the people who drive it all.

Our mindset is AI First meaning we invest in cutting-edge technology in everything we do focusing on results for our clients.

We are a company A GROUP that breathes collaboration and offers a dynamic environment where you will learn by doing grow alongside the team and have space to contribute with ideas and projects.

More than just talking about digital transformation we believe in real transformation that starts with people and impacts real businesses.

If you are looking for a place to develop innovate and be part of something bigger the Stefanini Group is your place.