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Data Engineer in Barcelona

Pagantis

Workplace
Onsite
Hours
Full-Time
Internship
No
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Job Description

As a Data Engineer, you will be responsible for designing, developing and maintaining Digital Origin analytics architecture, technology stack and all its underlying processes.

As Digital Origin is scaling up quickly we are looking for a new member to our Data Engineering department. The Data Engineer will design and build processes to extract & transform data and perform analysis to extract meaningful value.

As a Data Engineer you will closely collaborate with backend engineers as well as data scientists to create robust, scalable pipelines putting analytical solutions ready to generate reports, insights and new prediction models.

Desired Skills and Experience:

  • A degree such as computer science, telecommunications, math or physics
  • At least 2 years of experience developing with Java or Python languages
  • Advanced SQL skills: complex queries with strong performance requirements
  • Advanced experience with MongoDB Database: complex queries with strong performance requirements
  • Easy to work with and agile enthusiast
  • Careful with performance, testability and design
  • Problem solver & fast learner mindset

Desired requirements
  • Java/Python/Scala/R is a plus
  • Experience with Big Data frameworks (Spark)
  • Experience managing ETL processes with large data sets
  • Experience implementing alerts systems and reporting tools
  • Experience working with batch & real-time processes
  • Experience working with UNIX systems
  • Experience with Amazon Web Services (AWS Cloud Platform). Especially:
    • Amazon Kinesis
    • Amazon Lambdas
  • Deep knowledge about algorithms (in terms of time&space complexity) and data structures (stack, queues, graphs, trees, etc.)
  • Strong analytical / problem solving skills.
  • Knowledge about the most popular ML algorithms
  • Experience with at least one of these libraries:
    • Python: pandas, numpy
    • R: dplyr or datatable
  • Experience with at least one of these libraries:
    • Python: matplotlib, dash
    • R: ggplot
  • Experience with Agile methodologies (TDD, Kanban)
  • Experience on financial sector from a Data point of view
  • Benefits:

    • Great working environment
    • Career development opportunity
    • Competitive salary
    • Friendly and supportive team.
    • Opportunity to constantly learn new technologies and grow as a professional according
    • your own interests.
    • Flexible Compensation Plan: Restaurant/ Transport/ Nursery tickets
    • Extended annual holiday leave
    • Flexible working hours
    • Half day Fridays
    • Equipment of your choice (HW, OS and IDE)
    • Private Health Insurance
    • Referral Bonus
    • Training Programs
    • Fresh Fruit, Coffee & Tea
    • Gym

 

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