Senior Data Engineer

Bunge; Sant Just Desvern; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

Bunge is seeking a highly motivated Senior Data Engineer in Sant Just Desvern, Spain. The role requires strong expertise in data architecture, data analysis, and cloud computing to create data products that enhance business insights.

Success in this position involves collaborating with cross-functional teams, providing mentorship to analytics professionals, and ensuring high-quality data pipelines. Candidates should have a post-graduate degree in a STEM field and experience with SQL and programming.

Formación

• 3-5 years of experience as a Senior/Lead Data Engineer.
• Expertise with SQL and at least one programming language (Python or Scala preferred).
• Experience with cloud computing services and infrastructure.

Responsabilidades

• Solve complex data problems and deliver insights for organizational goals.
• Create analytics data products to improve team productivity.
• Mentor and coach analytics professionals on data standards.

Conocimientos

SQL

Data analysis

Python

Scala

Data engineering

Cloud computing

Agile methodologies

Educación

Post-graduate degree in STEM field

Herramientas

BigQuery

DataStream

DataProc

Descripción del empleo

City : Sant Just Desvern State : Barcelona (ES-B) Country : Spain (ES) Requisition Number : 45095

Overview

We are seeking a highly motivated and experienced Senior Data Engineer with strong expertise in data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross‑functional analytics team, and want to solve complex data problems and deliver insights to enable analytics strategy. At Bunge, you will be at the forefront of leveraging data analytics and technology to feed and fuel the world in a better, faster, and simpler way. The Data Engineer will work closely with a multidisciplinary Agile team to build high‑quality data pipelines driving new data products and analytic/ML solutions. These solutions will generate insights from the organization's connected data, enabling the organization to advance the data‑driven decision‑making capabilities of the enterprise.

Main Accountabilities

• Solve complex data problems to deliver insights that help the organization’s business to achieve their goals.
• Create data products for analytics and data scientist team members to improve their productivity.
• Mentor and coach other data and analytics professionals on data standards and practices.
• Foster a culture of sharing, re‑use, design for scale and stability, and operational efficiency of data and analytical solutions.
• Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve the organization’s productivity as a team.
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
• Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
• Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and applied mathematics.
• Ensure timely analysis and testing for regular maintenance of solutions over time.

Requirements

• Post‑graduate degree in a STEM field with 3‑5 years of experience as a Senior/Lead Data Engineer.
• Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred).
• Experience developing and maintaining data lakes or lake‑house platforms.
• Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space using streaming and CDC pipelines.
• Strong data‑lake/DW development experience using Cloud MPP engines (BigQuery preferred) and experience with a variety of relational, NoSQL, and cloud database technologies.
• Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
• Data engineering experience using GCP portfolio (BigQuery, DataStream, DataProc, DataPlex, and DataForm).
• Familiarity with the Linux operating system.
• Passionate about Agile software processes, data‑driven development, reliability, and experimentation.
• Experience working on a collaborative Agile product team.
• Self‑motivated with strong problem‑solving and learning skills.
• Flexibility to change work direction as the project develops.
• Excellent communication, listening, and influencing skills.
• Demonstrated strong number sense, intellectual curiosity, and willingness to adjust position based on additional information.
• Strong work ethic; ability to work at an abstract level and gain consensus.