Data Engineer at BASF Intertrade AG

Montevideo, Montevideo, Uruguay -

Full Time

Start Date

Immediate

Expiry Date

22 Mar, 26

Salary

0.0

Posted On

22 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure SQL Database, Azure Data Lake, Azure Data Factory, Azure Synapse Analytics, Data Modelling, Python, Data Warehousing, SQL, PySpark, Data Governance, Project Management, Problem-Solving, Communication, Stakeholder Alignment

Industry

Chemical Manufacturing

Description

Who we are: We are BASF, the largest chemical company in the world, with over 150 years of experience. In Montevideo, we are a Hub made up of more than 1,000 employees who provide services for all BASF companies in the Americas. We offer professional solutions in finance, purchasing, reporting, logistics, technology, human resources, projects, communication, legal matters, environment, safety, health, and quality. Area: The Digital Factory supports the Agricultural Solutions (AP) division in the development of cutting-edge solutions. Our mission is to help farmers increase crop productivity and profitability while reducing environmental impact. To date, two areas are represented in the Montevideo HUB: Solutions Delivery - designs technology solutions tailored to the specific needs of the agricultural sector; and AgroStart - is an agricultural innovation program that addresses specific needs within the organization. We accelerate development and work with technology startups to co-create solutions. Main ObjectiveDesign, develop, and optimize data engineering solutions within Azure environments, ensuring efficient data models, reliable integrations, and processes that guarantee data quality, accessibility, and performance to support analytics, reporting, and strategic business decision-making. Tasks Design, develop, and maintain data models that support analytical needs across various business domains. Create domain entities to ensure data is organized and accessible for analysis, reporting, and business intelligence with normalized data model Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and translate them into effective data solutions. Implement data integration processes using Azure Data Factory, Azure Databricks, and other ETL tools. Utilize Python for data manipulation, transformation, and analysis within Azure Databricks. Optimize data storage solutions in Azure, ensuring efficient retrieval and performance. Monitor and troubleshoot data ingestion and transformation pipelines and processes to ensure data quality and integrity. Maintain documentation of data models, architecture, and processes for reference and compliance. Stay updated with the latest trends and technologies in data engineering and Azure services to continuously improve data solutions. Requirements Education: Graduates or advanced students of Software Engineering, Bachelor's Degree in Computer Science, Telematics Engineering, Information Technology Analyst (or related careers). Working Experience: 3-5 years of experience in data engineering or related fields, preferably in an Azure environment. Language skills: Advanced level in English. Technical skills: Advanced skills in Azure services, including Azure SQL Database, Azure Data Lake, Azure Data Factory, Azure Synapse Analytics. Advanced skills in data modelling techniques and methodologies. Advanced skills in Python for data processing and analysis. Intermediate skills in data warehousing concepts and best practices. Basic skills in programming languages such as SQL and PySpark. Basic skills in data governance and compliance frameworks. Soft skills: Advanced skills in project management Advanced problem-solving skills Advanced skills in effective communication Advanced skills in stakeholder alignment, to work effectively with cross-functional and global teams What we offer: Living our Hub Montevideo means being part of a culture where the focus is on people and their professional and personal development. Our diversity, collaboration, and leadership style set us apart. When you join our team, we offer you: A hybrid and flexible working model A professional development program tailored to your interests and needs Private health insurance for you and your family from your first day in the company and life insurance Flexible leave days in addition to your statutory leave The possibility of remote work from abroad for up to 6 weeks a year A free day on your birthday Wellness benefits, such as nutrition services and in-company massages. BASF considers Law N° 19.691 and Decree N° 73/019 in all its hiring processes. Every qualified candidate who meets the requirements established in the job description will be considered in this hiring process with no distinction. Moreover, BASF is an equal-opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, age, civil and social status, national origin, disability, sex, gender identity or expressions, or any other candidate or employee´s characteristic or group that is not related to their aptitude and suitability for the position. Our management is committed to following this policy concerning hiring, placement, promotion, transfer, demotion, layoff, termination, recruiting, pay, and other forms of compensation, training, and general treatment during employment.

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Responsibilities

The Data Engineer will design, develop, and optimize data engineering solutions within Azure environments. This includes ensuring efficient data models, reliable integrations, and processes that guarantee data quality and performance for analytics and reporting.