Valtech
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Valtech. Skills: Data engineering, Cloud platforms, Data pipelines, AI/GenAI systems. Design data platforms. Build data platforms”
Industry & Context.
Problem-solving skills
What You'll Do.
Design data platforms
Optimize data platforms
Develop batch pipelines
Develop streaming pipelines
Develop near-real-time pipelines
Build ingestion workflows
Build transformation workflows
Build curation workflows
Implement lakehouse patterns
Implement medallion layering
Deliver high-quality datasets
Enable data pipelines for GenAI
Orchestrate workflows
Apply architecture patterns
Ensure data governance
Ensure access control
Establish data observability
Monitor data freshness
Monitor pipeline reliability
Monitor SLA adherence
Enable data serving layers
Optimize infrastructure
Collaborate with data scientists
Collaborate with ML engineers
Collaborate with analysts
Collaborate with business stakeholders
Support adoption of data products
Contribute to best practices
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; ML engineers; Platform teams; Business stakeholders
Process & Methodology
Agile
Full Job Description
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 We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipeline
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