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Data Engineer (Process Automation) en Barcelona

Wiris

Lugar de trabajo
En sede
Horas
Full-Time
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Descripción de la oferta

We are WIRIS, a software development company founded 20 years ago and headquartered in Barcelona with offices in the USA, Long Beach (California) since we acquired the American company Design Science in 2017. Wiris is continuously growing, not only in employee numbers, which keep increasing at double-digit rates but also in terms of products.


We are currently more than 80 people revolutionizing the educational field with innovative products, enhancing our value proposition for our global customers such as NASA, Blackboard, Moodle, and Pearson among others; and our mission is to make people's STEM work more meaningful by creating software with deep knowledge in advanced technology and science.


The company’s business is growing, as well as the amount of data to be processed. As a result, the number of daily operations to automate is increasing, as well as their complexity. For this reason, we are looking for a Data Engineer with a focus on Process Automation to help us push our operational data automation and flows.


Key responsibilities

  • Automate operational processes that interact with different sources using cloud technologies.
  • Having quality orientation: support internal requests from other teams.
  • Monitoring of processes and fixing data inconsistencies in different platforms.
  • Caring about documentation and quality both in-process and implementation.
  • Be an active member of the team. Your opinion is important and we will hear you.


Job Requirements

  • B.S / MSc in Computer Science or related fields or equivalent experience.
  • Proven experience in process automation, data engineering, or a similar role.
  • Handle web services API integrations with third-party systems.
  • Knowledge of SQL Management and Database structure notions.
  • Coding skills in object-oriented programming (Python).
  • Good understanding of software development and software engineering habits (like version control, testing, CI/CD, and process monitoring).
  • Good communicator, team worker, and participation in feedback sessions.
  • Excellent problem-solving skills.
  • Fluent in Spanish or English. Understanding both is a must.


Nice to have

  • Experience with serverless (Lambda, Glue) technologies (AWS solutions in particular).
  • Knowledge of Messages in Queue Management (Amazon SQS).
  • Flow definition with Stakeholders (Experience with Flow chart design).
  • Experience in concurrency, parallelism, and process synchronizations.
  • Experience in agile methodologies and working in a multidisciplinary team is desirable.
  • Experience on Git, GitHub actions (or other CI/CD solutions), and Docker.
  • Notions of CRM (Salesforce), finances, licensing, marketing, support center (Zendesk).
  • Knowledge of Python Data Stack (namely Pandas, etc).


What we offer

  • Full-time permanent position.
  • Competitive salary + optional flex salary plan.
  • Flexible working hours and a hybrid work environment.
  • Private health insurance.
  • Birthday day off in addition to your holidays.
  • Unlimited access to Udemy Business.
  • In-house English and Spanish lessons to improve your knowledge.
  • A great work environment in Barcelona city center.
  • All the coffee you can drink, fresh fruit, and yogurt.


Wiris is committed to creating a diverse and inclusive workforce. We aim to create a workplace that celebrates the diversity of our employees, customers, and users. Our culture is the result of our behaviors, our personal commitment, our curiosity, how we collaborate, and the ways that we courageously share our perspectives and encourage others to do the same.


We are an Equal Opportunity Employer and do not discriminate against any employee or applicant from underrepresented minorities, persons with disabilities, sexual minority groups, and other candidates who may contribute to the diversification and enrichment of ideas and perspectives.

 

Acerca de Wiris

  • Ed Tech

  • Barcelona, Spain

  • 50 - 200

  • 1999

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