Senior Data Engineer

4 dni temu

Warszawa, Mazovia, Polska Bunge Iberica SA Pełny etat

Bunge, a global leader in agribusiness, has an exciting opportunity available for a Senior Data Engineer. As part of a global team, you will work on challenging and meaningful projects that directly impact core business activities. Since 1818, Bunge has been connecting farmers to consumers, delivering essential food, feed, and fuel to the world. Looking towards the future, Bunge aims to continuously reinvent itself, leveraging data to be at the forefront of analytics, technology, and talent to accomplish its 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, test, and learn to succeed.

At Bunge, employees don't just come to work; they come 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, a generous paid time off program, flexible work arrangements, and opportunities for career progression. The hybrid work environment provides a balance between 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, and a basic understanding of data products and data mesh. The Data Engineer will work closely with a multidisciplinary Agile team to build high-quality data pipelines driving analytic 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. This role requires an agile learner, strong problem-solving skills, and the desire 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.

Essential Functions

  • Solve complex supply chain data problems to deliver insights that help the organization's business achieve their goals.
  • Create data products for analytics and data science 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 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.

Qualifications

  • PhD in STEM field with research experience in Data Science or a postgraduate degree in STEM field with 3-5 years' experience as Lead Data Engineer.
  • Expertise in SQL and data analysis with experience in 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).
  • Skilled in data engineering, Python, dbt, SQL, data analysis, analytical skills, teamwork, and communication skills.
  • Ability to design the necessary data architecture to support the data analytics squads.
  • Ability to evaluate different cloud services to implement the most cost-efficient solutions.
  • Deep understanding of data mesh concepts.
  • Ability to help business structure the data architect solution.
  • Develop business awareness of possible use cases.
  • 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).
  • 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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