Skip to content
mimi

Sr.) Data Platform Engineer; m​/f​/d

IT-Systemhaus der Bundesagentur für Arbeit

Berlin · On-site Senior Today

About the role

Stellenbezeichnung: (Sr.) Data Platform Engineer (m/f/d) Your missionOur significantly growing Data, AI & Mar Tech Department is looking for an experienced Data Platform Engineer. The position is responsible for improving and continuously further developing our cloud-based data platform – the heart of Smartbroker‘s technical data infrastructure for business analytics & insights. Join us and play a major role in promoting and enabling a truly data-driven culture across the organization!Job description:Develop and improve ourcloud baseddata platform for data analytic and business insights using most innovative data technologiesBuild end-to-end data pipelines from raw data ingestion to consumable data: prepare and clean structured and unstructured data and develop high-quality data models for advanced analytics and AI use casesImplement data quality monitoring to ensure accuracy and reliability of data pipelinesArchitect, code, and deploy data infrastructure componentsCollaborate closely with highly ambitiousdata engineers and analysts in our growing Data, AI & Mar Tech Department as well as product technology colleaguesStay up to date with latest market developments in data cloud architecture and share your knowledgeYour profile University degree in computer science, mathematics, natural sciences, or a similar fieldSeveral years of experience in data engineering and strongknow-howin building data-native, robust, scalable, and maintainable data platformsSignificant hands-on experience designing and operating data pipelines oncloud baseddata platforms (AWS, GCP) using data-native services (S3, Athena,Big Query…)Experience in data warehousing and containerization, e.g., Kubernetes, Docker…Advanced knowledge about cloud networking & security (IAM, security groups…)Proficient and experienced with Infrastructure as CodeDeep understanding of software engineering best practices: requirements specification, version control, CI/CD, testing, deployment, and monitoring of data pipelines and servicesExcellent SQL skills and strong programming skills in Python, ideally including Airflow andPy Spark Strong knowledge in data streaming technologies like Kafka, Kinesis, Flink…Excellent English communication skills, German is a plusInterest in finance and fintech industry and a sense of humor#J-18808-Ljbffr

Don't send a generic resume

Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.

Get started free