Data Engineer

TECHNE is supporting a fast-growing battery intelligence and electrification technology business that is expanding its data engineering capability.

The company sits at the intersection of data, AI, and complex engineering, supporting applications across automotive, heavy industry, and energy storage.

They are now hiring two Technical Specialist Data Engineers to help shape how customer data is engineered, delivered, and scaled.

This is not a traditional Data Engineer position focused purely on pipelines and platform maintenance.

You will take ownership of customer-facing data engineering projects from technical discovery through to delivery, while helping define the standards, architecture, and delivery model used as the team grows.

You will stay hands-on technically, working across AWS, Snowflake, data pipelines, transformations, validation, and AI-ready workflows, while partnering with Data Science, AI, Product, Cloud, and specialist engineering teams.

• Own customer data engineering projects from discovery through to delivery.
• Build and develop pipelines, transformations, and data models across AWS and Snowflake.
• Work directly with customers to understand complex data problems and define the technical approach.
• Support data workflows feeding AI and machine learning applications.
• Improve data quality, validation, observability, and platform reliability.
• Help establish repeatable engineering standards and delivery practices.
• Lead technical work streams as the platform and customer base grow.

• Commercial experience with AWS and Snowflake.
• Experience building scalable data platforms, pipelines, transformations, and models.
• Comfortable working directly with customers and senior technical stakeholders.
• Strong understanding of data quality, validation, and reliability.
• Interested in taking broader technical ownership rather than staying within a narrow engineering remit.
• AI or machine learning data workflows.
• Telemetry, IoT, or time-series data.
• Technical or project leadership.
• Experience with in automotive, energy, industrial technology, or another engineering-led environment.
• Battery experience is not required.

• Join while the data engineering model is still being defined.
• Shape technical standards and delivery practices rather than inherit a fixed platform.
• Combine hands-on engineering with real customer and technical ownership.
• Work with complex real-world data across AI, electrification, and engineering products.
• Lead work streams and grow towards wider technical or platform leadership.
• Join at a stage where your decisions will influence how the data capability develops as the business scales.