Data Engineer

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

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. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

 

The role  

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.

Ideal candidate will demonstrate a proven track record of developing production-facing, reliable, scalable, data pipelines in enterprise environment.  We are seeking creative thinkers who demonstrate curiousity and an appreciation for elegant, efficient solutions to solving data processing tasks  as a means to express their intellectual curiosity and analytical voice. Those same individuals appreciate rigorous, tested solutions, and best practices throughout the SDLC. Valtech will provide a platform and training to help them reach their full potential. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

• 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. 

 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Proven industry experience delivering projects in data engineering, analytics, or data science, AND Bachelor’s/Master’s in Computer Science, Software Engineering, Informatics, or related quantitative fields. 
• Hands-on proficiency in SQL and Python, capable of taking data from ingestion to insight. 
• Strong experience with Azure Cloud,data integrations, ETL, feature engineering/featire stores, data catalog, Purview.   
• Upper-intermediate English communication skills. 
• Advanced Portuguese communication skills. 

 

Nice to have qualifications  

• 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.  

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

 

The benefits  

Beyond a competitive compensation package, 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 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

  

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

  

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.