Data Engineer, Locus Robotics
More information about location
Manufacturer of autonomous warehouse robots
Be an early applicant
Manufacturer of autonomous warehouse robots
201-500 employees
Be an early applicant
More information about location
201-500 employees
Company mission
To transform commerce supply chains worldwide through the use of autonomous mobile robots.
Role
Who you are
- Are you a skilled Python Data Engineer with a passion for building scalable, production-level systems and an interest in machine learning?
- If you’re an independent, hands-on engineer who thrives on writing production-grade Python code, analyzing logs, debugging complex systems, and delivering real-world solutions, this role is for you
- Bachelor's or Master’s degree in Computer Science, Mathematics, Data Analytics, or a related field
- 3+ years of experience developing and deploying production-grade Python software
- 3+ years of experience with Python and high-performance data libraries such as Polars and Pandas
- Proficiency with JavaScript, SQL, and KQL
- Experience with Extract, Transform, Load (ETL), Data Streaming, and Reconciliation
- Experience building and maintaining deployment pipelines, including DevOps tools like Ansible, and containerization with Docker
- Proficiency with cloud platforms (AWS or Azure) for deploying and scaling data systems
- Highly desired experience with Azure, particularly Lakehouse and Eventhouse architectures
- Experience with relevant infrastructure and tools including NATS, Power BI, Apache Spark/Databricks, and PySpark
- Hands-on experience with data warehousing methodologies and optimization libraries (e.g., OR-Tools)
- Experience with log analysis, forensic debugging, and system performance tuning
- Exposure to cloud-based systems
- Familiarity with Agile/SCRUM methodologies in collaborative development workflows
- Proficient English communication skills, both written and verbal, with the ability to engage diverse audiences effectively
- Excellent analytical and problem-solving skills, with the ability to contribute effectively in a collaborative team environment
What the job involves
- At Locus Robotics, we’re evolving our data infrastructure to support advanced machine learning capabilities and real-time analytics
- As a key member of our team, you’ll help migrate our existing codebase into machine learning territory, drive innovation across multiple deployment sites, and collaborate closely with our optimization and engineering teams
- You'll develop robust Python code, analyze system performance, and contribute to deployment pipelines that power critical operations
- Develop and maintain Python-based systems deployed across remote platforms
- Contribute to and improve data pipelines, ensuring reliable and efficient system updates
- Build and enhance features for real-time data analysis and system monitoring to ensure high uptime and efficiency
- Collaborate with data scientists and engineers to support advanced analytics and machine learning workflows
- Support the migration of our codebase toward machine learning capabilities by building scalable, maintainable solutions
- Analyze system logs and performance to debug issues and optimize operations using forensic analysis tools
Our take
Many order fulfilment warehouses rely on a combination of human workers and machinery to operate packaging assembly lines. However, these workflows are time-consuming and repetitive, showing the potential for human workers to be replaced with AI-driven robots.
Locus Robotics provides automated robotic technologies for fulfilment warehouses, offering a range of different robots for different workflows. Every robot outputs data that can be tracked and analyzed, and they can be installed rapidly and scaled depending on business size.
Whilst robots in warehouses is not a new concept, they are generally limited to warehouse giants such as Amazon. Locus Robotics, however, has taken a flexible and accessible approach to its technology, aiming to increase access and affordability so that smaller businesses can scale.
Having picked over three billion items across its network of customers, the company is well established. It has also seen significant funding which has supported international expansion. In the longer term, when market conditions allow, it will consider an initial public offering.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
25% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Nov 2022
$117m
SERIES F
Sep 2021
$50m
SERIES E
Total funding: $416m
Company HQ
Wilmington, MA
Leadership
Rick Faulk
(CEO)Experience as CEO and Chairman of Intronis & Barracuda Networks from 2013 to 2016. CEO of Quiet Logistics from 2016 to 2018.
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