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Boeing

Builds commercial aircraft, defense and space systems

Reliability & Data Analysis Engineer

Data Science +1Posted on Nov 12
Full-timeRzeszów, PolandPLN204k - PLN276kHybrid

About the Job

Requirements

  • At least 2 years of experience in data analytics, data science, or related fields.
  • A Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry, or non-U.S. equivalent qualifications directly related to the work statement.
  • Experience with SQL and relational databases.
  • Proficiency with data visualization tools such as Tableau or Power BI.
  • Experience with programming languages such as Python, R, or equivalent.
  • Ability to communicate technical information to non-technical audiences in English.

Responsibilities

  • Analyze and interpret large datasets, then develop and communicate clear recommendations based on data insights.
  • Support the design and implementation of data models and extract, transform, and load (ETL) processes to ingest and transform structured and unstructured data.
  • Work with cross-functional teams to define and implement data requirements, and support data instrumentation and capture.
  • Participate in defining data governance policies to ensure data quality, consistency, and compliance.
  • Prepare data for analytics by cleansing, transforming, aggregating, and integrating data from multiple sources.
  • Develop visualizations and dashboards to communicate results and trends to stakeholders.
  • Develop and maintain technical documentation for data models, ETL processes, and analytics artifacts.
  • Support performance tuning and optimization of data pipelines and queries.
  • Assist in evaluating and selecting data tools, platforms, and technologies to meet business needs.
  • Provide hands-on support for production data issues and assist in resolving them.
  • Mentor junior analysts and provide technical guidance as needed.
  • Engage with stakeholders to gather requirements and translate them into data-driven solutions.
  • Use statistical techniques and machine learning methods to derive insights and build predictive models.
  • Ensure adherence to security and privacy standards for data handling and processing.
  • Satisfy the Company's Conflict of Interest assessment process.

Desired Qualifications

  • Experience in the aerospace, defense, or aviation industries.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with big data technologies such as Spark and Hadoop, natural language processing techniques and tools, version control systems such as Git, DevOps, and continuous integration and continuous delivery (CI/CD) pipelines.
  • Familiarity with Agile methodologies.

About the Company

Boeing

Builds commercial aircraft, defense and space systems

Boeing builds commercial airplanes, military aircraft and space systems for airlines, governments and other aerospace customers worldwide. Its passenger jet families include the 737 and 787, while its defense portfolio spans fighter aircraft, helicopters, tankers and satellites. Engineers design and integrate aircraft structures and systems, and factories assemble and test the finished products for delivery to customers. The company earns money through aircraft and equipment sales, government development contracts, and services such as maintenance, spare parts and flight training. Boeing was founded in 1916 and is headquartered in Arlington, Virginia.

Company size
10,001+
Company stage
IPO
Headquarters
Arlington County, VA
Founded
1916

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