Data Engineer developing tools and analytical capabilities for tracking commodity flows within the Dry Bulk market. Lead data interventions and engage with cross-functional teams for efficient cargo data management.
Responsibilities
Create scripts, CLI utilities, and web-based UIs (using tools like Streamlit) that empower analysts to perform data quality interventions more efficiently and at greater scale
Query and analyse substantial datasets to surface insights, identify data quality issues, and inform both tactical interventions and strategic improvements
Work alongside software engineers to develop backend tools and data pipelines that improve the overall quality and reliability of our tracking systems
Understand the day-to-day challenges analysts face and translate those pain points into technical solutions that reduce manual effort
Create clear documentation for tools, data processes, and analytical approaches to ensure knowledge sharing across the team
Develop automated checks and monitoring systems that proactively flag data anomalies before they require manual intervention
Rapidly test new approaches to data quality challenges, learning from what works and what doesn't, and scaling successful solutions
Requirements
Experience extracting, transforming and analysing data from databases and APIs
Comfortability working with large, unstructured datasets too complex for standard spreadsheet tools
Experience tackling problems that have required learning new tools or technical approaches
Background working as part of a multidisciplinary team, particularly with mixed technical/non-technical colleagues
Proficiency in Python (or demonstrable ability to become proficient quickly)
Experience building CLI tools, or scripts that automate processes and improve team efficiency
Familiarity with Git-based workflows and code reviews
A mindset that prioritises delivering practical, workable solutions over chasing perfect ones that never ship
The inclination to take ownership of problems, using initiative to tackle issues, without waiting to be asked
Senior Manager - Data Architect leading enterprise - level data architectures and cloud data platforms. Working in a hybrid consulting environment focused on AI - driven decision - making in Switzerland.
BI Data Engineer supporting analytics and decision - making for Kpler's products. Responsible for building scalable pipelines and robust data models in a dynamic market landscape.
Senior Data Engineer at Clorox designing and maintaining data pipelines and solutions on cloud platforms. Collaborating with cross - functional teams to support data - driven business decisions.
Data Engineering & Warehousing Manager leading the design and development of enterprise data pipelines. Collaborating on data governance standards and ensuring scalable data solutions for Hastings Insurance.
Senior Data Engineer at Air Methods leading data - driven solutions and mentoring team members. Responsible for designing and improving data architecture and analytics to create impactful business insights.
Data Engineer III developing high - performance data solutions for Walmart Global Tech. Collaborating with teams to build scalable data pipelines and ensure data governance.
Data Engineer optimizing and maintaining data architecture for fintech solutions in Latin America. Involved in data governance, pipeline development, and cross - team collaboration for tech innovation.
DataOps Engineer at Eeze focusing on data pipeline stability across multiple products. Collaborating with IT teams to maintain quality, observability, and operational efficiency.
Data Engineer developing and enhancing data pipelines and models at ERNI Schweiz. Required skills include SQL and Python with opportunities for remote work in Europe.
Senior Data Engineer developing ETL and data pipelines for Burlington’s digital transformation team. Collaborating with analytics and engineering teams to support insights from data analysis.