Staff Analytics Engineer

We are looking for a Staff Analytics Engineerto join global projects, working with modern technologies across front-end and back-end layers. This is a 3 to 12-month contract, renewable based on project availability and performance.

• Design and implement scalable and automated processes for data collection, validation, reporting, and analysis using Python and SQL.
• Develop, test, and document complex SQL queries, stored procedures, and robust ETL/ELT processes to support Business Intelligence and advanced analytics initiatives.
• Extrair, transform and analyze data from multiple sources, consistently ensuring data integrity and high quality.
• Build and maintain interactive dashboards and reports in Power BI, ensuring efficiency, scalability, and significant business impact.
• Collaborate effectively with cross-functional teams and influence data-driven decision-making throughout the organization.
• Define and document clear reporting requirements, data governance processes, and validation methodologies.
• Provide strategic recommendations based on deep data analysis, proactively identifying trends and business opportunities.
• Offer technical support and troubleshooting for existing Power BI reports and other BI tools, continuously identifying areas for improvement.
• Mentor and provide technical guidance to junior analysts, fostering best practices in data visualization, SQL, and Python optimization, and analytical problem-solving

• 5+ years of experience working with data analytics, Business Intelligence, or data engineering roles.
• Advanced SQL skills, including extensive experience with query optimization, stored procedures, and performance tuning for large datasets.
• Proven expertise in Python for data manipulation, analysis, and process automation (e.g., Pandas, SQLAlchemy).
• Strong hands-on experience with Power BI, including advanced dashboard creation, data modeling, and interactive visualizations.
• Must have strong knowledge and practical experience with Microsoft Azure services for data (e.g., Azure Data Lake, Azure Synapse Analytics, Azure Data Factory). Experience with GCP is a plus.
• Solid understanding of data warehousing concepts, dimensional modeling, and ETL/ELT best practices.
• Experience mentoring and supporting junior team members, fostering a culture of continuous learning and development.
• Strong experience in data storytelling, effectively presenting complex insights to both technical and non-technical stakeholders.
• Demonstrated ability to collaborate effectively with executives, engineers, and business teams to translate data insights into actionable strategies.
• Advanced English (written and spoken).

At DBSPT you will find:

• Collaborative Environment: We value a sense of community where ideas are shared, and achievements are celebrated as a team.
• Work from Anywhere: Enjoy the freedom and flexibility to work from wherever you feel most productive and comfortable.
• Global Connection: An opportunity to interact with people from different countries and cultures, expanding your network and worldview.
• Physical Health Support: Through TotalPass and Mediquo, we provide resources and programs, and telemedicine dedicated to your physical well-being.
• Mental Health Care: Team Care provides initiatives and actions to support your emotional and mental balance in daily life.

At DBServices, we design, develop, and support cutting-edge digital platforms that drive innovation for leading companies across IT, Banking, Retail, Government, Healthcare, and other industries in Europe and the Americas. Our expertise empowers businesses to grow, adapt, and lead in dynamic markets.

Trusted by industry leaders like Worten, Sonae, Edenred, Natixis, Farfetch, Glintt, Efacec, Segurança Social, and McDonald's, we deliver solutions that make a real impact.

Join us and be part of a global team that's shaping the future of digital transformation.