Data Engineer
Summary
Build and own a scalable Azure-based data lake and analytics platform, from ETL pipelines to embedded BI and future ML/GenAI exploration for industrial clients.
Grenoble | Primarily 5 days a week on-site, occasional remote by agreement
5V Tech are working with a fast-growing deep tech scale-up in Grenoble, building next-generation sensing and analytics technology for industrial clients.
As part of their Software team, they're now looking for a Data Analytics Engineer to take ownership of their data architecture and turn it into a real driver of business decisions, not just a reporting layer.
This is a hands‑on role covering everything from Data Lake architecture through to BI, embedded analytics and, eventually, ML and GenAI exploration.
Day to day
- Evolving the Data Lake (ADLS Gen2) into a structured Bronze/Silver/Gold architecture
- Developing and optimising data objects to support several million rows processed weekly
- Designing and maintaining ETL pipelines with Azure Data Factory and Synapse
- Owning data quality and reliability across the platform
- Building business KPIs and BI/operational reporting alongside the Field Applications Engineers
- Developing embedded analytics solutions for end clients
- Optimising compute costs and report performance (star schema modelling, aggregations)
- Exploring predictive analytics (Azure ML) and conversational interfaces (Azure OpenAI) once the core platform is stabilised
Requirements
- Bac+5 (Engineering or specialised Master's in Data)
- Expert level SQL and Python
- Confirmed experience across the Azure Data Stack (ADF, ADLS, Synapse)
- Fluent English required, French a strong plus
- Autonomous, rigorous and genuinely curious about the "why" behind the data
- Appetite for Machine Learning and GenAI is a real plus for how the role evolves