Senior Engineer, Data Engineering
Summary
Senior Data Engineer on Mercedes-Benz Group Services Madrid's Aftersales 'Data Driven Pricing' project: designing, building and maintaining scalable AWS data pipelines, automating ingestion/transformation, ensuring data quality, and supporting Data Scientists using Spark, Python/Java/Scala, SQL, orchestration and DevOps tools in a hybrid work model.
At Mercedes-Benz Group Services Madrid , we are looking for a Senior Data Engineer to join our Data Driven Pricing project within the Aftersales area. The selected person will design, build and maintain scalable data processing pipelines, working closely with Data Scientists to ensure data integration, data quality and support advanced analytics.
Your main responsibilities
Implement and manage cloud data storage systems in AWS.
Descubra exactamente qué habilidades, experiencia y cualificaciones necesitará para tener éxito en este puesto antes de enviar su solicitud a continuación.
Collaborate with Data Scientists and analysts to understand data requirements and provide suitable technical solutions.
Develop and use data quality frameworks to ensure data integrity and security.
Automate data ingestion, cleaning and transformation processes.
Monitor the performance of data systems and troubleshoot issues when needed.
Optimize performance and scalability of Big Data solutions.
Apply strong critical thinking and problem-solving skills in daily work.
What we are looking for
~ Bachelor's or Master's degree in Computer Science, Information Technology or a related field.
~3–5 years of experience in Data Engineering or similar technical roles.
~ Strong knowledge of Big Data processing, especially Spark and Python, Java or Scala.
~ Strong SQL skills, including joins, group by, subqueries and temporary tables.
~ Experience with AWS (preferred) or other major cloud platforms such as Azure or Google Cloud.
~ Familiarity with data orchestration tools such as AWS Step Functions, Azure Data Factory, Airflow or similar.
~ Hands-on experience with DevOps tools such as Git Actions, Azure DevOps or Jenkins.
~ Knowledge of version control platforms such as Git or Bitbucket.
Nice to have
Knowledge of visualization tools such as Power BI or Grafana.
Experience with Docker and Kubernetes.
Understanding of Agile methodologies.
Cloud or Big Data certifications.
Previous experience in an international work environment.
Languages
~ Fluent English (reading, writing and conversation).
What we offer
~30 working days of vacation.
~ Flexible working hours.
~ Hybrid work model. xqbhyrx
~ Work in an international and dynamic environment within Mercedes-Benz Group.