Data Engineer

Description & Requirements

Key Responsibilities

• Design and develop data engineering solutions primarily within Microsoft Fabric.
• Build, maintain, and optimize scalable data pipelines to ingest, transform, and deliver data from multiple sources.
• Develop and maintain Spark notebooks for data processing, transformation, and analysis.
• Work with structured, semi-structured, and unstructured data from databases, APIs, SaaS applications, and other enterprise systems.
• Develop data transformation processes using Python and T-SQL.
• Perform data cleansing, validation, aggregation, filtering, and enrichment to ensure data is accurate and fit for purpose.
• Implement data quality controls and monitoring within data pipelines.
• Troubleshoot and resolve data processing, integration, and performance issues.
• Collaborate with data architects, analysts, product owners, and other technology teams to translate requirements into scalable technical solutions.
• Support the development and maintenance of enterprise data platforms, data warehouses, and analytics solutions.
• Create and maintain technical documentation for data pipelines, processes, standards, and operating procedures.
• Follow established software development, data governance, security, and deployment standards.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related discipline.
• Five to six years of direct professional experience in data engineering.
• Strong professional experience developing data solutions using Python.
• Strong knowledge of T-SQL and experience developing and optimizing complex queries and data transformations.
• Demonstrated experience designing, building, and maintaining data pipelines.
• Experience working with structured, semi-structured, and unstructured data.
• Experience developing data processing solutions using Spark and notebooks.
• Strong understanding of data integration, data transformation, data quality, and data modelling principles.
• Experience troubleshooting data pipelines and resolving data processing and performance issues.
• Strong analytical, debugging, and problem-solving skills.
• Ability to create clear technical documentation covering processes, solutions, and standards.
• Ability to collaborate effectively with technical and non-technical stakeholders in a global environment.
• Strong written and verbal communication skills in English.

Preferred Qualifications and Experience

• Hands-on experience with Microsoft Fabric.
• Experience with other cloud-based or SaaS data platforms, such as Snowflake or Databricks.
• Experience working with Microsoft Azure or other major cloud platforms.
• Familiarity with software development lifecycle practices and delivery methodologies such as Scrum and Kanban.
• Familiarity with data anonymization and data protection techniques.
• Experience supporting analytics, business intelligence, artificial intelligence, or machine learning solutions.

About us

Baker McKenzie empowers clients to compete in the global economy. We provide comprehensive and practical legal advice that cuts through complexity with clear, actionable guidance. Our people represent diverse cultures and jurisdictions, combining local know-how with international expertise to ensure your business thrives across borders.

Additional Information

Baker McKenzie is an Equal Opportunity Employer. We are committed to promoting diversity and inclusion for all. Our unique international culture is reflected in the drawing together of a worldwide family of individuals from diverse cultures and backgrounds in all of our offices. We encourage the best people - regardless of race, religion or belief if any, gender, gender identity, disability, sexual orientation or age - to fulfill their professional aspirations with us. We are committed to ensuring an inclusive and accessible experience for all candidates.

Job Information

Posting Date

01-Oct-2026

Requisition ID

3498

States/Provinces/Cities

Buenos Aires

Location Type

Office/Onsite

Business Unit

Business Professionals

Function

Technology

Full Time or Part Time

Full Time