Allianz Insurance

Data Engineer (m/f/d)_2288

Allianz Insurance Barcelona, Catalonia, Spain

Financial Services · 5,001-10,000 employees

Jun 23
data-engineer Mid (2-5 yrs) Full-time Spain
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About the role

You will build and monitor scalable data pipelines and architectures within a cross-functional team to support campaign processes. Additionally, you will collaborate with business analysts to ensure data quality and consistency while utilizing agile methodologies.

What they look for

SQL Data engineering ETL pipelines Snowflake AWS dbt Git Kubernetes Data modeling CI/CD Scrum Data architecture Data quality monitoring Analytical skills Conceptual skills

Requirements

Candidates must have a background in informatics or information systems and strong proficiency in SQL. Experience with ETL processes, Git, AWS, and data modeling is required, along with a team-oriented mindset.

Benefits

Company bonus scheme Pension Employee shares program Employee discounts Career development programs Digital learning programs International career mobility Healthcare benefits Parental leave benefits

Full description

About the Job

 

As a Data Engineer at Allianz, you'll be part of the Multi-Channel Sales tribe, a team dedicated to driving sustainable growth through technical excellence and data-driven strategies. Our focus is on building innovative campaign platforms and tailored approaches across all channels to support the sales team in achieving long-term success and delivering real value to our customers. You will contribute to the campaign data hub, which provides a consolidated, high-performance operational data hub essential for campaigning processes. This solution ensures daily updates and flexible KPI calculations, empowering business decisions and enhancing the value we deliver to our data consumers within Allianz.

 

What you do

 

  • Work on a strategic, cross-divisional project within a cross-functional team, utilizing agile methods.
  • Build data pipelines with exciting technologies such as Snowflake, dbt, Glue, SQL, Amazon Web Services, GitHub, Kubernetes, and more.
  • Take on your own task packages in the area of data engineering, including developing and implementing scalable data architectures and pipelines.
  • Monitor data pipelines to identify and eliminate bottlenecks.
  • Ensure data quality and consistency through appropriate management and monitoring tools.
  • Collaborate with business analysts on a day-to-day basis to develop new features.

 

What you bring

 

  • Specialization in informatics or information systems during your studies, or equivalent practical training.
  • Strong analytical and conceptual skills.
  • Team player mentality.
  • Solid experience working in Scrum processes.
  • Proficient SQL knowledge is a must.
  • Experience with Git, AWS S3, and knowledge of ETL pipelines is desired.
  • Ideally, experience with one or more of the following tools: Snowflake, Glue, DBT, Jenkins, Terraform.
  • Strong experience working with databases, ETL processes, and data modeling.
  • Initial experience with CI/CD processes and infrastructures from hyperscalers, preferably AWS.
  • Good command of English (Basic German skills would be beneficial).

 

What we offer

 

  • We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad.
  • We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).
  • From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
  • Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.

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