Data Engineer @ Bayer

3 days ago

Warsaw, Czech Republic Bayer Full time

Required:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • 5+ years of experience in data engineering or related roles, with a strong understanding of data integration and modeling.
  • Proficiency in programming languages such as Python, SQL, or Java, and experience with data processing frameworks (e.g., Apache Spark, Hadoop).
  • Familiarity with data warehousing solutions and ETL (Extract, Transform, Load) processes.
  • Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., relational databases, NoSQL databases).
  • Strong analytical skills and the ability to present complex data insights clearly to stakeholders.
  • Excellent problem-solving abilities and a proactive approach to identifying and resolving issues.

Preferred:

  • Experience with data visualization tools (e.g., Tableau, Power BI) and business intelligence practices.
  • Knowledge of data governance frameworks and best practices.
  • Familiarity with Agile methodologies and project management tools.

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Data Engineer 

We are looking for a Data Engineer 

WHAT DO WE OFFER:


  • A flexible, hybrid work model
  • Great workplace in a new modern office in Warsaw
  • Career development, 360° Feedback & Mentoring programme
  • Wide access to professional development tools, trainings, & conferences
  • Company Bonus & Reward Structure
  • Increased tax-deductible costs for authors of copyrighted works
  • VIP Medical Care Package (including Dental & Mental health)
  • Life & Travel Insurance
  • Pension plan
  • Co-financed sport card - FitProfit
  • Meals Subsidy in Office
  • Budget for Home Office Setup & Maintenance
  • Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs
  • Tailored-made support in relocation to Warsaw when needed
  • Please send your CV in English


,[Undertake data profiling and source system analysis, Present clear insights to colleagues to support the end use of the data, Design, build and test data products that are complex or large scale, Build teams to complete data integration services, Understand the impact on the organization of emerging trends in data tools, analysis techniques and data usage, Select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions and integration pipelines, Produce relevant data models across multiple subject areas, Explain which models to use for which purpose, Understand industry-recognized data modelling patterns and standards, and when to apply them, Compare and align different data models, Design an appropriate metadata repository and present changes to existing metadata repositories, Understand a range of tools for storing and working with metadata, Provide oversight and advice to more inexperienced members of the team, Respond to problems in databases, data processes, data products and services as they occur, Initiate actions, monitor services and identify trends to resolve problems, Determine the appropriate remedy and assist with its implementation, and with preventative measures, Use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations, Collaborate with others to review specifications where appropriate, Understand the core technical concepts related to the role, and apply them with guidance, Review requirements and specifications, and define test conditions, Identify issues and risks associated with work, Analyze and report test activities and results] Requirements: Python, AWS, ETL, Tableau, Power BI Additionally: Sport subscription, Private healthcare, Flat structure, Lunch card, International projects, Canteen, Bike parking, Shower, Playroom, In-house trainings, In-house hack days, Mobile phone.

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