Senior AI Data Pipeline Engineer building scalable data pipelines and optimizing AI workflows at Trimble. Designing architectures that enhance digital construction technology across industries.
About the role
- Data Engineering Lead looking to build and shape data products with innovative technology at Aambience Services. Leading team for high-quality data workflows and solution delivery.
Responsibilities
- Lead and mentor the Data Engineering team, driving technical excellence and upskilling members
- Architect, build, and optimize scalable data pipelines and workflows, ensuring data quality, reliability, and performance
- Design and implement best practices for data modeling, ETL processes, and data integration across diverse systems
- Shape and define processes around product discovery, backlog management, and value delivery
- Collaborate with cross-functional teams to clarify requirements and deliver impactful data solutions
- Monitor the impact of delivered solutions and drive continuous improvement
Requirements
- 2+ years of experience managing Software Engineering teams
- 4+ years of experience in Data Engineering, having built Data solutions and products (e.g Data Lake, Data Warehouse, pipelines)
- Familiarity with AWS
- People-centric approach in team management, looking after your team members, their well-being and their professional growth
- Great communication skills and enthusiasm to talk to stakeholders and clients
- Comfort working in ambiguity — moving quickly with limited resources, but clear intent.
- A balance of vision and execution: you can set a direction and roll up your sleeves to deliver. We are looking for someone who will be quite hands-on with engineering work
Benefits
- 💸 Competitive renumeration package
- 🏥 Private medical insurance
- 🎯 Performance based bonus
- 📚 Training & development opportunities
- 🤝 A team that loves innovation, quality, and having fun at work
- ⚖️ Work-life balance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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