
1001 - 5000 employees
🛍️ eCommerce
🤖 Artificial Intelligence
Consulting • eCommerce • Artificial Intelligence
FCamara Consulting & Training is a Brazilian multinational firm specializing in digital transformation and consulting services. With over 17 years in the market, FCamara's ecosystem focuses on innovation, e-commerce, digital strategy, and the integration of technology solutions such as artificial intelligence and cybersecurity. The company collaborates with a variety of sectors including retail, healthcare, finance, and logistics, empowering more than 1,000 businesses to evolve in the digital realm.
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1001 - 5000 employees
🛍️ eCommerce
🤖 Artificial Intelligence
Consulting • eCommerce • Artificial Intelligence
FCamara Consulting & Training is a Brazilian multinational firm specializing in digital transformation and consulting services. With over 17 years in the market, FCamara's ecosystem focuses on innovation, e-commerce, digital strategy, and the integration of technology solutions such as artificial intelligence and cybersecurity. The company collaborates with a variety of sectors including retail, healthcare, finance, and logistics, empowering more than 1,000 businesses to evolve in the digital realm.
• This is a Data Engineer role embedded within a cross-functional product squad where data is treated as a product, not a service. • You will work closely with Product Managers, engineers and business stakeholders to shape how data supports customer experiences, decision-making and growth. • Alongside building reliable, scalable data pipelines, you will help define metrics, translate product needs into data models, and ensure data is accessible, reliable and actionable. • This role is ideal for someone who enjoys combining technical depth with strong collaboration and a sense of ownership over outcomes. • We operate a technology stack focused on Azure, leveraging Azure Data Factory and SQL databases to build the data warehouse. To construct the data warehouse that generates business value, you will collaborate with cross-functional squads and work closely with stakeholders to define data requirements, deliver solutions and maintain best practices. • Key responsibilities: • Partner with Product Owners and stakeholders to translate business and product requirements into well-defined data models, pipelines and metrics. • Design and develop scalable data pipelines, leveraging Azure Data Factory and other native Azure tools. • Own the data layer within your product area, ensuring data is reliable, well-modeled and fit for decision-making and product use cases. • Collaborate with team members to optimize data architecture, ensuring high performance and reliability. • Work with stakeholders to gather and refine data requirements, delivering solutions that align with business priorities. • Implement and maintain version control practices (e.g., Git), facilitating collaboration and ensuring code quality. • Maintain clear and comprehensive documentation of data workflows and processes. • Coordinate task progress using Jira, tracking and prioritizing workload while working with cross-functional teams. • Contribute to the development and enforcement of data engineering standards, best practices and documentation processes. • Actively participate in squad rituals (planning, refinement, retrospectives), contributing to prioritization and delivery decisions. • Assist in monitoring, troubleshooting and improving data pipelines and ETL processes to support continuous improvement efforts. • Stay up to date with industry trends and technologies to drive continuous improvements.
• Minimum of 5 years as a Data Engineer with proven experience in Azure data tools, particularly Azure Data Factory. • Proficient in SQL, Python and data engineering frameworks. • Solid understanding of data modeling (e.g., dimensional modeling, warehouse design, OLAP vs OLTP). • Strong understanding of cloud platforms, preferably Azure, and familiarity with Azure-based storage and data processing solutions. • Knowledge of data warehousing concepts, ETL/ELT practices and data modeling techniques. • Previous experience working in Financial Services, specifically for Savings or Lending products. • Ability to solve complex data-related challenges and to work independently on large data projects. • Strong communication skills to work effectively with stakeholders and technical teams. • Comfortable working within a cross-functional team and contributing to shared outcomes, not just individual deliverables. • Experience working within product squads, integrated into delivering product outcomes. • Fluent in English.
• This is a 100% remote position. • This role follows the client’s time zone, aligned with UK hours. • This is a contractor role. • We welcome and consider candidates of any nationality; however, to be eligible for this position candidates must hold a valid work visa for an EU country.
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