IXM is one of the largest traders of physical non-ferrous metals and plays a key commercial role at each stage of the metals supply chain fueling the energy transition. IXM’s expert local teams provide global coverage for tailored sourcing, risk management, logistics and financing solutions to its wide network of clients in the metals industry.
The Opportunity
We are looking for a proactive and experienced Data Engineer to design, build, and maintain robust data infrastructure and pipelines across IXM. This role is central to enhancing our data architecture, integrating platforms, and supporting data science industrialization. The ideal candidate brings strong expertise in cloud-based data solutions, such as Azure Data Factory, Microsoft Fabric, Databricks or Snowflake, as well as in governance and cost monitoring. The ideal candidate will champion data best practices across the organization.
Main Responsibilities
* Design, build, and optimize scalable data pipelines.
* Integrate data from diverse sources (on-prem SQL databases, Azure DWH, external data sources) while ensuring consistency, integrity, and validation.
* Transform raw data through cleansing, enrichment, aggregation, and filtering techniques.
Performance & Reliability
* Monitor and tune data systems for performance, scalability, and efficiency.
* Analyze and optimize data loads and troubleshoot operational issues.
Governance & Quality
* Implement data quality checks and validations to ensure accuracy, completeness, and consistency.
* Maintain data lineage documentation and tools.
* Act as a gatekeeper for data access, helping to ensure security, compliance, and governance.
* Establish and enforce best practices in data strategy, infrastructure, analytical applications and services.
* Work closely with data scientists and analysts to support model optimization and governance.
* Guide and challenge external data consultants to align with internal standards and expectations.
* Monitor Azure costs to ensure cost-effective operations.
Key Projects:
* Integration Platform with ETL to Complement Azure Data Factory
* Objective: Establish a robust integration platform to standardize data exchange between on-prem applications and for analytics.
* Data Science Industrialization
* Objective: Optimize and professionalize the practice of data science by applying best practices.
* Data Platform Upgrade
* Objective: Upgrade the data platform to enhance performance, scalability, and efficiency.
Education, Skills and Experience
* Bachelor's degree in Computer Science, Engineering, Physics, or similar quantitative field
* More than 4 years of experience as Data Engineer or in a similar role in a hedge fund or similar financial company, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
* Strong analytical and problem-solving skills.
* Excellent communication and teamwork abilities.
* SQL: Proficient in writing and optimizing complex SQL queries.
* Python: Strong programming skills in Python for data manipulation and automation.
* Azure: In-depth knowledge of Azure services and cost management.
* MS Fabric: Experience with MS Fabric for data integration and management.
* Data processing tools: PySpark or SparkSQL
* Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.
* Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options
* Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI
* Ability to translate among the languages used by executive, business, IT.
* Opportunity to work with cutting-edge technologies.
* Collaborative and innovative work environment.
If you are passionate about data engineering and eager to make an impact, we would love to hear from you!
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Industries
Wholesale
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