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At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. As a Data Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 3+ YEARS of experience, a growth mindset and a drive to make a lasting impact.
Job Responsibility:
Analyze large volumes of raw, complex data to generate meaningful insights for enterprise-level clients, ensuring performant and reliable code
Design and engineer scalable ETL pipelines, data workflows, and analytical products that support data-driven decision-making
Communicate analytical findings clearly and visually through compelling storytelling, dashboards, and presentations
Develop highly interactive dashboards using Tableau, Power BI, or custom web applications
Build and maintain data infrastructure, software libraries, and APIs supporting BI and ML pipelines
Architect and optimize cloud data platform components, with a strong focus on Azure services (e.g., Data Lake, Data Factory, Databricks, Synapse)
Manage and track project timelines, dependencies, risks, and deliverables
Collaborate with stakeholders—including those in banking, credit, or financial audit environments—to gather requirements and conduct technical due diligence
Design pragmatic, scalable solutions tailored to complex financial data ecosystems
Requirements:
Proven industry experience delivering projects in data engineering, analytics, or data science
Bachelor’s/Master’s in Computer Science, Software Engineering, Informatics, or related quantitative fields
Hands-on proficiency in SQL and Python
Strong experience with Azure Cloud, data integrations, ETL, feature engineering/feature stores, data catalog, Purview
Upper-intermediate English communication skills
Advanced Portuguese communication skills
Nice to have:
Proven experience working with Databricks in data engineering or advanced analytics contexts
Proficiency with visualization tools (Tableau, Power BI) or Looker
Experience working in big data ecosystems using Spark, Hive, Impala, Pig, or similar
Proficiency in cloud architecture components across Azure (preferred), AWS, or GCP
Experience with orchestration tools like Airflow, Luigi, or Prefect
Ability to transform raw data and ambiguous business questions into clear analytical approaches and actionable insights
Experience applying statistical or machine learning libraries appropriately to solve real business problems
Prior experience with technical decision ownership or managing technical specifications development data, analytics, or ML projects
Experience working with clients or stakeholders in the Banking industry, Credit Bureaus, or financial audit environments
MS Certifications considered a plus: Azure Data Factory, MS Fabric, Data Governance Professional, etc
What we offer:
Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts