Data Engineer
Bunge · Warsaw
| City : Warsaw | State : Mazowieckie (PL-MZ) | Country : Poland (PL) | Requisition Number : 47633 |
Data Engineer
We are seeking a highly motivated and experienced Data Engineer with expertise in data engineering, data modeling, and data products. The Data Engineer will work closely with a multidisciplinary Agile team to build high-quality data pipelines, reusable data models, and trusted data products that enable reporting, self-service analytics, and data-driven decision making across the enterprise. This role requires strong technical problem-solving skills, collaboration across business and technology teams, and a passion for transforming complex data into scalable analytical solutions that drive business value.
Main Accountabilities
- Design, develop, optimize, and maintain data pipelines, data models, and analytical datasets that support enterprise reporting, self-service analytics, and business decision-making.
- Solve complex data challenges and deliver trusted, high-quality data solutions that enable business users to generate insights and achieve strategic objectives.
- Create and maintain governed data products that provide reusable, business-ready data assets for analytics, reporting, and advanced analytical use cases.
- Foster a culture of sharing, reuse, documentation, and design for scale while improving the stability, quality, and operational efficiency of data and analytical solutions.
- Lead the evaluation, implementation, and adoption of emerging tools, technologies, and best practices in data engineering, analytics engineering, and data product development to improve team productivity and business value.
Knowledge and Skills
- Improve Bunge's outcomes by making data-driven decisions, keeping the customer at the forefront of all they do, and proactively gaining insight into the global strategy.
- Collaborate, effectively communicate with others and take initiative to continually develop themselves.
- Pursue opportunities to solve problems and take action while maintaining the ability to manage work, even in times of challenge or change.
- Skilled in data engineering, Python, dbt, SQL, data analysis, analytical skills, teamwork, and communication skills.
- Can design and develop scalable data models, analytical datasets, and data products that support reporting, self-service analytics, and advanced analytics use cases.
- Strong understanding of dimensional modeling, semantic modeling, and analytics-oriented data design.
- Experience building trusted, reusable data products for reporting and business consumption.
- Understanding of BI platforms such as Tableau, Power BI, or similar analytics tools.
- Familiarity with metric governance, business definitions, and certified data assets.
- Data mesh concepts
Education & Experience
- Bachelor’s degree required; Computer Science, MIS, or Engineering preferred
- 3+ years of experience working in data engineering
- 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 BigQuery and experience with a variety of relational, 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 or Spark
- 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
- Strong work ethic; ability to work at an abstract level and gain consensus
- Fluent in English.
Please include a CV in English
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