SR Data Engineer

Job Description

With 17 years of specialisation in the FMCG sector, we are the technology partner of leading companies in the food and beverage sector, managing projects in more than 20 countries.

We guide our clients’ commercial strategy by providing them with the technologies and data intelligence to boost their sales and improve their performance in fragmented markets.

What do we offer you?

• A place where you will never stop advancing and developing, even if that means taking on new challenges that make us dizzy. We assure you that the journey will be incredible and you will always be accompanied to help you achieve it
• Flexible schedule and intensive Fridays
• Offices in Manresa
• Career and training plans to help you take on new challenges.
• UVE Member get Member program: If you introduce us to a friend and they end up joining UVE, you’ll receive a bonus!
• Flexible compensation plan: restaurant vouchers, transportation, childcare, health insurance, and training.
• Office Catering Subsidy
• And most importantly of all… the best working atmosphere and the best team!

How will your day-to-day life be?

Your mission will be to ensure and maintain all processes related to the integration, construction, processing and extraction of the databases with which the UVE platform works.

• Lead the design and development of robust and scalable data architectures, ensuring efficiency, reliability and optimal performance.
• Create and maintain complex, high-performance data pipelines using tools such as Python, PySpark and related technologies.
• Develop and maintain state-of-the-art data infrastructures using platforms such as Azure Datalake, Kubernetes and other Big Data technologies.
• Develop and maintain web scraping scripts and tools for data extraction from external sources.
• Implement unit and integration tests to ensure the quality and reliability of the developed data systems.
• Provide technical guidance and leadership to the team in solving complex programming and data architecture problems.
• Research and evaluate new technologies and tools to continuously improve our data management and analysis capabilities.

Our profile

• Significant experience (minimum 5 years) in the design, development and implementation of complex data pipelines using Python, PySpark or other similar technologies.
• Undergraduate or graduate degree in Computer Science, Computer Engineering, Mathematics, or related field.
• Deep knowledge and experience in building scalable, high performance data infrastructures using Azure Datalake, Kubernetes and other Big Data technologies.
• Experience in the design and development of distributed data architectures and in solving scalability and performance issues.
• Experience in development and application of machine learning models is valuable.
• Strong leadership skills and ability to provide technical guidance to the team.

If you meet the requirements… We are waiting for you!

At UVE we believe in equal opportunities regardless of age, race, gender identity or religion. We believe in an inclusive work environment and respect above all else.