Germany Job Openings
DHL Express
Data Engineer - BI Analyst (f/m/x)
Schkeuditz
FULL TIME
September 18, 2024
It's not just about doing our best every day - the challenge is to find new ways to exceed our customers' expectations and to make DPDHL group sustainably better every day!
- Design, build, and maintain scalable and efficient data pipelines to process and manage large datasets.
- Integrate raw data from various sources into a centralized data warehouse or data lake, ensuring data quality and consistency.
- Design and optimize Extract, Transform, Load (ETL) processes to ensure data is clean, accurate, and available for analysis.
- Develop and maintain data models and schemas to support business intelligence and data analytics needs.
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Implement and enforce data governance policies to ensure data privacy, security, and compliance with regulatory requirements.
- Create and maintain technical documentation for data infrastructure, processes, and workflows.
- Create engaging dashboards and reports.
- Strengthen and innovatively advance the BI and analytics architecture.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Proven experience as a Data Engineer or in a similar role, with hands-on experience in data integration, ETL processes, and data pipeline development.
- Ability to write complex SQL queries, stored procedures, and user-defined functions.
- Excellent programming skills (e.g., Python, Java, Scala).
- Skills in optimizing SQL queries for performance and efficiency.
- Experience with ETL/ELT tools and techniques, including Snowpipe, Matillion, Apache Kafka or similar real-time and periodic data processing tools.
- Proven experience with Snowflake or other cloud data warehouse.
- Experience in data modeling (e.g., Kimball, Data Vault 2.0).
- Experience in collaborative work using Git in a Dev Ops environment.
- Domain knowledge within Aviation is a plus.
- Strong understanding of data security, compliance, and governance.
- Basic experience with Data Science, MLOps, or Large Language Models (LLMs).
- Ability to communicate effectively with technical and non-technical colleagues.
- Proficiency in determining and realizing business requirements.
- The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful.
- Fluent written and spoken in English, good communicaton in German.
WHAT WE OFFER
- Working on a Great Place to Work® for the world's most awarded TOP employer 2023
- Attractive compensation & benefits package
- An exciting and challenging task in an international working environment with a tangible corporate culture
- Open feedback culture and a motivated team
Your contact person is Ms. Bölke, who can be reached at +49 (0) 341/ 4499 1782.
#dhl #express #aviation #europe #job #leipzig #hrbpgoa
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