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Senior Data Engineer
Data

Senior Data Engineer

Poznań
Type of work
Undetermined
Experience
Senior
Employment Type
Permanent
Operating mode
Office

Tech stack

    Python

    advanced

    SQL

    advanced

    Hadoop

    regular

    AWS

    junior

    Scala

    nice to have

    Java

    nice to have

Job description

Online interview
About your role:

If you are looking to use your knowledge of data engineering to enhance the user experience and to guide the business decisions in a renowned entertainment company, this is the job you have been looking for. In the newly established data department, you will be able to grow your career on the same path: fast! This is the ideal time to join Fandom.

You will report to our Senior Manager, Data Engineering

Main responsibilities:

  • Manage and evolve a performant data infrastructure
  • Write code that forms a data processing pipeline that gathers and cleans data from multiple sources (e.g. clickstream logs)
  • Manage cloud-based AWS Data Lake used by business analysts and data scientists in their daily work
  • Take ownership and partner with stakeholders to architect and build out new data pipelines and data warehouse
  • Monitor the data quality and the data availability to give confidence in our numbers
  • Partner with Data Science to industrialize their prototypes and models
  • Work with Software Engineering to feed data services and other products

You are…

  • Experience as a Data Engineer or related
  • Bachelor or master in the field of Computer Science or related (Data Science/Maths/Econometrics or similar...)
  • Interest in the entertainment industry
  • Fluent in Polish and English (both written and verbal)
  • Proficiency in Python and SQL
  • Experience working on Cloud platforms, preferably AWS
  • Knowledge of Hadoop stack (ideally AWS ElasticMapReduce)
  • Familiar with Java, PHP and JS

Bonus points if…

  • Experience of collaboration with, or mentoring of, data scientists or ML engineers. Ideally in the area of deployment and monitoring ML models on production
  • Proficiency in writing Apache Spark code, in Scala or in Python
  • Experience with DevOps/DataOps (e.g. Docker + Kubernetes, Apache Airflow, Jenkins + CI/CD for Data Engineering pipelines)


Benefits & Perks

  • 80% copyright costs 
  • Stock options
  • Training based on business needs
  • Employee Interest and Hobby Groups supported by the company
  • Cafeteria Benefit Program (including private medical care, gym membership, shopping/wellness bonus, etc.)
  • Flexible working hours
  • A budget for education, training, and conferences
  • VTO

About Fandom

Fandom is a global entertainment media brand powered by fan passion. Fandom has a global audience of almost 300 million monthly unique users and encompasses over 400,000 fan communities. We currently feature more than 55 million pages of content, inclusive of video. Our Fandom values are:

  • We serve a global community.Connection with our fans, creators, and partners is at our core, and it's grounded by our active efforts of inclusion.
  • We build experiences.We imagine, improve, and deliver solutions.
  • We bring joy.We celebrate our fandoms, our teammates, and the work we do.

Fandom is an Equal Opportunity Employer