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. Design scalable data platforms. Build scalable data platforms”
Industry & Context.
Problem-solving; Scalability focus; Reliability focus
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, building batch data pipelines, building streaming data pipelines, production-grade data platforms, data modeling principles, data quality principles, governance principles, experience with major cloud platforms, experience with lakehouse architectures, experience with distributed data systems, scalability considerations in data pipelines, reliability considerations in data pipelines, 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
Microsoft Azure / Fabric experience, GCP experience, AWS experience, Databricks experience, Snowflake experience, GenAI and AI data systems experience, RAG pipelines experience, vector databases experience, LLM data preparation experience, CI/CD for data pipelines experience, infrastructure-as-code tools experience, Terraform experience, ARM experience, CloudFormation experience, streaming technologies experience, Kafka experience, Spark optimization experience, advanced analytics workloads experience, ML workloads experience, causal platforms experience, experimentation platforms experience, building data products experience, large-scale analytics platforms experience, Agile environments experience, consulting environments experience
What You'll Do.
Design scalable data platforms
Build scalable data platforms
Optimize scalable data platforms
Build batch pipelines
Build streaming pipelines
Build near-real-time pipelines
Develop reliable batch pipelines
Develop reliable streaming pipelines
Develop reliable 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 agent-based architectures
Enable intelligent workflows
Design logical data models
Design physical data models
Orchestrate workflows
Automate end-to-end pipelines
Apply event-driven architectures
Apply streaming architectures
Ensure adherence to data governance
Ensure adherence to data lineage
Ensure adherence to data quality
Ensure adherence to access control
Establish data observability
Monitor data freshness
Monitor pipeline reliability
Monitor SLA adherence
Enable data serving layers
Support downstream systems
Monitor pipelines for performance
Optimize pipelines for performance
Monitor infrastructure for performance
Optimize infrastructure for performance
Monitor pipelines for scalability
Optimize pipelines for scalability
Monitor infrastructure for scalability
Optimize infrastructure for scalability
Monitor pipelines for cost efficiency
Optimize pipelines for cost efficiency
Monitor infrastructure for cost efficiency
Optimize infrastructure for cost efficiency
Translate requirements into data 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; Analysts
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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