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Data Engineer

Publish Date:  Sep 24, 2022
Location: 

Bydgoszcz, Bydgoszcz, PL-Poland

Company:  Atos

About Atos

Atos is a global leader in digital transformation with 107,000 employees and annual revenue of over € 11 billion. European number one in cybersecurity, cloud and high performance computing, the Group provides tailored end-to-end solutions for all industries in 71 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea), listed on Euronext Paris and included in the CAC 40 ESG and Next 20 Paris Stock indexes.

 

The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education, and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

 

 

 

Job description:
We are looking for an experienced Data Engineer for one of our projects with Media House from Switzerland.

 

As a team member you will take part in a project run on the Google Cloud with the Apache’s Spark data processing in its centre. As a Data Engineer you will integrate various technologies and data sources.

 

There will be a day-to-day collaboration work with Data Scientists discussing and understanding business requirements that enable providing custom articles newsletters and recommendations.

 

 The ideal candidate should be well familiar with Apache Spark (in Scala), Python data processing (pandas), Java (core, Spring).

Skillser Requirements: 

  • Senior level (min. 5 years of working experience in a similar role). 
  • Strong programming background (with hands-on experience, clean code). 
  • Java 11 (Spring, Maven).
  • Scala, opcionally including some experience with Scala API for Apache Spark.
  • Python 3.x (Celery, Pandas).
  • UNderstanding of Rest API design.
  • Ideally some experience related to databases and ETL. 

 

Nice to have:

  • Some knowledge of SQL (e.g. also including performance optimization) ideally in the context of DWH. 
  • Experience with "Big Data" and distributed computing.
  • Docker, Kubernetes.
  • Experience with Google Cloud Platform.
  • Experience with Elasticsearch.
  • Basic knowledge of HTML/CSS/Javascript.

 

Benefits:

  • Copyright supplement up to 90%.
  • Private healthcare system (provided by Luxmed) – package is mostly financed by Atos, with costs on the Employee side being only 4zł per month; additionally, there is a possibility of including Your family in the package (including children and seniors), but Atos does not cover those fees.
  • Group insurance (provided by Generali) - package is mostly financed by Atos; with costs on the Employee side being only 5zł per month; additionally, there is a possibility of including Your family in the package.
  • Benefit platform (Medicover Benefits) – every month new benefit points (equivalent of 46zł) are being transferred to Your account, which can be used any way You see fit (on Multisport card, tickets to the cinema or theatre, entertainment, online shopping and many more); during Christmas, on Your birthdays, Children’s Day and other holidays Employees receive additional points packs.
  • Annual bonus (about 10% of Your gross annual earnings), paid in two installments every 6 months (final bonus amount is dependent on the company’s financial results and/or Employee performance.
  • Both internal and external trainings at least once every year (with external trainings having a separate budget).
  • E-learning platform for internal trainings with more than 2000 technical and soft skill trainings that You can take part in at any time, including language courses at every level of advancement (ang, de, fr, it, es).
  • Language courses with language teacher to take part in stationary or on-line.
  • An additional paid day off for long-term Atos Employees.

 

We take care of your personal data privacy. More information about processing your data within recruitment process you can find on our website: https://atos.net/pl/polska/gdpr

 

Here at Atos, we want all of our employees to feel valued, appreciated, and free to be who they are at work. Our employee lifecycle processes are designed to prevent discrimination against our people regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes them unique. Across the globe, we have created a variety of programs to embed our Atos culture of inclusivity, and work hard to ensure that all of our employees have an equal opportunity to contribute and feel that they are exactly where they belong.

 

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