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Data/Software Engineer - Analytics Solutions

Nivel del puesto:  Profesional / Senior
Ubicación: 

BARCELONA, B, ES, 08009

Disponible hasta:  30/12/2022
Área de conocimiento:  Ingeniería informática y tecnológica
Unidad:  Allianz Technology
Entidad contratante:  Allianz Technology SE Spain Branch
Tipo de puesto:  Jornada completa
Trabajo en remoto:  Trabajo híbrido
Empleo:  Indefinido
ID:  16476

Data/Software Engineer for Analytics Solutions

In the Analytics Engineering Team at Allianz Technology

 

Our goal at Allianz Technology is to enable Allianz to be a data-driven company providing the best financial and insurance service to users. By combining our technical capabilities into ready-to-use data/analytics products aiming at specific business needs, we ultimately allow the automation, optimization, and insight-driven support of Allianz business and decision-making processes.

 

We are looking for a Data/Software Engineer who is thrilled to be part of an international Analytics Engineering team to contribute on how to efficiently and effectively design, develop, secure and qualify Data Products and Analytics Solutions to be provisioned at scale across Allianz operating entities.

 

Job/Task Description

  • Collect, analyze and formalize functional and operational requirements regarding analytics software solutions and translate them into the technical software design
  • Develop analytics software in agile teams and guarantee the implementation and use of the state-of-the-art software engineering techniques and methods
  • Plan, Design, develop, test, debug, document analytics software solutions and integrate software or application components of third parties
  • Partner with cross-functional analytics team to design and engineer Analytics software solutions for Allianz Insurance processes
  • Ensure fulfilment of security, performance, maintainability and reliability of analytics software solutions to fit customer needs, internal standards and security concepts, and operational requirements
  • Advise on best practices and new techniques in the field of software engineering and software quality

 

Candidate Profile/Requirements

  • Higher education degree in IT, mathematics, physics or similar or apprenticeship as IT expert with specialization in software development and / or comparable IT experience
  • Mastery at least one programming language such as Python (preferred), Java, Javascript/Typescript, etc.
  • Relevant work experience in the field of analytics software development
  • Preferred experience in:
    • AWS Cloud environment and services, e.g., S3, Glue, Redshift, Lambda, Kinesis, CloudWatch
    • Python, K8s/docker, Git/Jenkins, SQL/NoSQL DBs, Deequ, Kafka, Luigi/Airflow, Prometheus/Grafana
  • Knowledge of cloud-based data/software architecture, software engineering design patterns and best practices
  • DevQAOps Engineering mindset for analytics software (build it, assure it, own it)
  • Competence to manage tasks in demanding and unfamiliar situations with problem solving skills
  • Ability to cooperate efficiently with different (also non-technical) departments as well as willingness to support any member of the cross-functional team.

 

 

What do we offer

  • Steady job, you'll get a permanent contract since the first day.
  • Competitive salary.
  • Fringe benefits: meal and supplies compensation, life and accident insurance, private pension plan and studies fund. We also offer discounts on other products from the company and shares as well as a Christmas gift card among others. Dare to discover a world of benefits!
  • Actual work-life balance policies: entry-leave flexibility of 2 hours every day, reduced schedule on Fridays and during the summer, 26 holiday days per year, recoverable working hours, as well as, hybrid workplace model.
  • Career development: Digital learning platforms, mentoring programs and training sessions give employees the opportunity for personal and professional development.
  • Relocation Service for international transfers.
  • Open and international working environment.