Senior Data Engineer

The role 

Valtech is working on a high-impact project that leverages the latest tools from the Google AI ecosystem, including Vertex AI, Gemini, and cutting-edge LLM integrations. We are hiring a Data Engineer/Sr Data Engineer to help to \design, build, and deploy next-generation machine learning solutions using Google’s most advanced platforms. 

The ideal Sr Data Engineer for Valtech is passionate about the experience revolution. Ideal candidates will have strong quantitative backgrounds and analytical discipline. While they will have some demonstrated ability to write code, they will not have learned programming languages for the sake of building their resume, but rather as a means to express their intellectual curiosity and analytical voice. Valtech will provide a platform and training to help them reach their full potential. 

Role responsibilities 

• Analyze a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of scientific rigor and discipline. 
• Engineer data pipelines and products to help stakeholders make and execute data driven decisions. 
• Communicate analytical findings in an intuitive and visually compelling way. 

Potential Responsibilities (depending on aptitude, project, and seniority): 

• Design and implement AI/ML models using Google’s Vertex AI, AutoML, and Gemini APIs 
• Build data pipelines and training workflows using BigQuery, Dataflow, and Cloud Functions 
• Creating highly visual and interactive dashboards via Power BI, or Looker BI or Studio or custom web applications 
• Conducting deep dive analysis and designing KPIs to help guide business decisions and measure success 
• Engineering data infrastructure, software libraries, and APIs supporting BI and ML data pipelines 
• Architecting cloud data platform components enabling the above 
• Building and tracking project timelines, dependences, and risks  
• Gathering stakeholder requirements and conducting technical due diligence toward designing pragmatic data-driven business solutions 

Minimum qualifications  

We want all new hires to succeed in their roles at Valtech. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all minimum qualifications. If you do not meet all of the preferred qualifications, we still encourage you to apply. 

• Proven experience with Google Cloud Platform (GCP), including building and maintaining data pipelines using services like BigQuery, Dataflow, and Cloud Storage. 
• Experience working with large language models (LLMs), including developing, customizing, and applying LLM capabilities across a range of real-world use cases and systems. 
• Proven industry experience executing data engineering, analytics and/or data science projects or Bachelors/Masters degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities. 
• Proficiency (can execute data ingestion to insight) in programmatic languages such as SQL, Python, R.

Preferred qualifications  

• Hands-on experience with BigQuery Data Transfer Service and Transfer APIs to automate and manage data ingestion from various sources into BigQuery. 
• Proficiency in visualization/reporting tools such as PowerBI or programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3. 
• Proficiency with cloud architecture components (AWS, Azure, Google).
• Proficiency with data pipeline software such as Airflow, Luigi, or Prefect.
• Ability to turn raw data and ambiguous business questions into distilled findings and recommendations for action.
• Experience with statistical and machine learning libraries along with the ability to apply them appropriately to business problems.
• Proficiency in front and back-end web application development stacks and frameworks (Javascript, HTML, CSS, React/Vue/AngularJS) including API design (REST/GraphQL) and library development.
• Experience leading and managing technical data/analytics/machine learning projects.

Your process 

After submitting your application, you will hear from a member of our Talent Acquisition team if your skills and experience match the position. Be mindful of recruitment fraud by only replying and engaging with email contacts that end with the '@valtech.com' or ‘@kinandcarta.com’ domain. 

We strive to create an inclusive environment for all candidates. If you have any specific requirements or need reasonable adjustments to participate in the application or interview process, please let us know at kincarta-amer.ta.team@valtech.com.