Senior Data Engineer

hace 2 meses

Barcelona, España Bunge Iberica SA A tiempo completo

Location: Sant Just Desvern, B, ES, 08960

City: Barcelona

Country: Spain (ES)

Requisition Number: 33763

Bunge has an exciting opportunity available for a Senior Data Engineer. In this role you will be part of a global team working on challenging, meaningful projects impacting core business activities. Since 1818, Bunge has been connecting farmers to consumers to deliver essential food, feed, and fuel to the world. Looking to the future, our ambition is to continuously reinvent ourselves, leveraging data to be at the forefront of analytics, technology and talent to accomplish our purpose in a better, faster and simpler way. Bunge is committed to operating and thriving in the digital world – creating world class agile teams where teammates are empowered and encouraged to collaborate and test and learn to succeed.

At Bunge, people don’t just come here to work, they come here to grow – solving challenges that directly impact the world with a diverse team of thinkers and doers. Bunge offers a strong compensation and benefits package, generous paid time off program, flexible work arrangements, and opportunity to progress. Our hybrid work environment provides a balance of in-office and remote work.

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 the 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. 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 organization's enterprise.

Essential Functions:

  • Solve complex data problems to deliver insights that help the organization's business achieve their goals.
  • Create data products for analytics and data scientist team members to improve their productivity.
  • Mentor and coach other data and analytic professionals on data standards and practices.
  • Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
  • Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering in order 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/or applied mathematics.
  • Ensure timely analysis and testing for regular maintenance of solutions over time.
  • Accountable for the results of a large and/or moderately complex project(s). Provides input on resource planning and policy development.
  • Lead the definition of coding best practices, communicate it, and build the processes to assure its implementation.
  • Create structured, organized, readable, and reusable code/analysis using best practices.
  • Revise code, identify gaps, and suggest improvements to reach best practices.
  • Applies acquired expertise to analyze and solve problems without clear precedent.
  • Manages operational plans, large projects, and/or processes with limited oversight from a manager.
  • Leads technical discussions across other data engineers to ensure best practices, approaches, and implementation.
  • Helps train/upskill members of the team in Data Engineer tools/techniques and provides high-quality solutions to the product owners.

Requirements:

  • PhD in STEM field with research experience in Data Science or postgraduate degree in STEM field with 3-5 years experience as 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 warehouses in big data solutions.
  • Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred).
  • Database development experience using Hadoop or BigQuery 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.
  • Big Data Development experience using Hive, Impala, Spark, and familiarity with Kafka (preferred).
  • Conceptual understanding of data mesh.
  • Familiarity with the Linux operating system (preferred).
  • Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
  • 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 changes in work direction as the project develops.
  • Excellent communication, listening, and influencing skills.
  • Demonstrated strong number sense, intellectually curious, and willing to adjust position based on additional information.
  • Strong work ethic; ability to work at an abstract level and gain consensus.

Bunge (NYSE: BG) is a world leader in sourcing, processing, and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world.

Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability or military or veteran status, or any other legally protected status.

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