Valtech
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Valtech. Skills: Data platform engineering, Cloud data platforms, AI/GenAI data pipelines. Design scalable data platforms. Build scalable data platforms”
Industry & Context.
Problem-solving skills; Root cause analysis
What They're Looking For.
Must Have
Hands-on experience with Apache Spark, Hands-on experience with Delta Lake, Programming skills in Python, Programming skills in SQL, Experience building batch data pipelines, Experience building streaming data pipelines, Experience building production-grade data platforms, Solid understanding of data modeling, Solid understanding of data quality, Solid understanding of data governance principles, Experience with one major cloud platform, Experience with lakehouse architectures, Experience with distributed data systems, Understanding of scalability considerations, Understanding of reliability considerations, Understanding of performance considerations in data pipelines, Problem-solving skills focused on scalability, Problem-solving skills focused on reliability, Collaborative approach to working in cross-functional teams
Nice to Have
Experience with Microsoft Azure / Fabric, Experience with AWS, Experience with GCP, Familiarity with Databricks, Familiarity with Snowflake, Experience with GenAI and AI data systems, Experience with RAG pipelines, Experience with vector databases, Experience with LLM data preparation, Experience with CI/CD for data pipelines, Experience with infrastructure-as-code tools, Experience with Terraform, Experience with ARM, Experience with CloudFormation, Additional exposure to streaming technologies, Additional exposure to Kafka, Additional exposure to Spark optimization, Additional exposure to advanced analytics, Additional exposure to ML workloads, Experience with causal platforms, Experience with experimentation platforms, Experience building data products, Experience building large-scale analytics platforms, Experience in Agile environments, Experience in consulting environments
What You'll Do.
Design scalable data platforms
Build scalable data platforms
Optimize data platforms
Design scalable data pipelines
Build scalable data pipelines
Optimize data pipelines
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
Enable vector-based data flows
Enable agent-based architectures
Design logical data models
Design physical data models
Orchestrate workflows
Apply architecture patterns
Ensure data governance adherence
Ensure data lineage adherence
Ensure data quality adherence
Ensure access control adherence
Establish data observability
Monitor data freshness
Monitor pipeline reliability
Monitor SLA adherence
Enable data serving layers
Support downstream systems
Optimize pipelines for performance
Optimize pipelines for scalability
Optimize pipelines for cost efficiency
Collaborate with data scientists
Collaborate with ML engineers
Collaborate with analysts
Collaborate with business stakeholders
Translate requirements into solutions
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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