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- Aufgaben: Own the design and maintenance of data pipelines for transport performance insights.
- Arbeitgeber: Join a young, dynamic team focused on Data Engineering & Analytics in the Transport domain.
- Mitarbeitervorteile: Enjoy a collaborative environment with opportunities for growth and innovation.
- Warum dieser Job: Make an impact by enabling data-driven decisions in transport operations while working with cutting-edge technologies.
- Gewünschte Qualifikationen: 3-5 years of data engineering experience, strong Python skills, and knowledge of SQL and ETL processes.
- Andere Informationen: Experience with cloud solutions, especially AWS, and orchestration tools like Apache Airflow is a plus.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
As a Data Engineer in the Transport team, you will have end-to-end ownership of discovering, designing, maintaining and orchestrating the team’s data and machine learning pipelines, data provisioning via cloud-based processing technologies as well as data extraction from different source systems.
You will collaborate in a cross-functional environment with Product Managers, operations and engineers to enable the analysis and insights into our transport performance.
The Team:
- We are a team of data engineers within the Transport domain under Logistics. Our team’s responsibility is to work with Transport’s product and engineering teams to deliver the Business KPIs. We are here to:
- Work on reports and building Dashboards to present actionable insights for the leadership.
- Do Research about the business requirements and translate it to source and target mappings.
- Conduct data discovery and find out the right strategy to ingest data into Datalake.
- Integrate the required datasets into Datalake by sourcing it from disjointed source systems owned by different product/domain teams in a compliant way.
- Monitor the Data Integration and reporting jobs to ensure seamless reporting of KPIs.
You will be joining a relatively young and growing team of Data Engineers spearheading Data Engineering & Analytics within the Transport domain. We trust your entrepreneurial capabilities!
Work in a multi-functional setup to identify and support our stakeholder’s needs and use cases and collaborate with other product and engineering teams to develop our long-term data-oriented solutions for our stakeholders.
Share knowledge, promote clean data engineering methodologies and collaborate with other colleagues.
Design, implement and maintain ETL pipelines that will power the dashboards and reports to help our stakeholders to make informed decisions about all aspects of Transport operations.
You have 3-5 years of extensive experience in data engineering and have a good understanding of data structures and algorithms.
You have an analytical mindset and solid coding skills in Python, with a focus on clean, readable and maintainable code.
NICE TO HAVE…
- Git, CI/CD and DevOps;
- BI Tools like Power BI, Google Looker Studio, Microstrategy or Tableau.
- Hands-on: Machine Learning Models, AI agents.
- Experience in distributed data processing using Spark SQL and PySpark (Databricks is a plus).
- Knowledgeable in SQL, ETL design and development, data modelling and interface specifications, quality assurance and testing methods.
- Strong knowledge of relational DBMSs, Redshift and Exasol preferred.
- Experience building data solutions on cloud, preferably AWS.
- Experience in orchestration tools, preferably Apache Airflow.
Excellent verbal and written communication skills with a detail-oriented and self-starter mindset.
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Data Engineer - Transport Product (all genders) Arbeitgeber: Zalando GmbH
Kontaktperson:
Zalando GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer - Transport Product (all genders)
✨Tip Number 1
Familiarize yourself with the specific cloud technologies mentioned in the job description, especially AWS. Having hands-on experience or projects that showcase your skills in cloud-based data processing will make you stand out.
✨Tip Number 2
Since collaboration is key in this role, consider reaching out to current Data Engineers or professionals in similar roles on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and help you understand the team dynamics.
✨Tip Number 3
Brush up on your knowledge of ETL design and development, particularly using tools like Apache Airflow. Being able to discuss your past experiences with ETL pipelines and how you've implemented them will demonstrate your expertise during interviews.
✨Tip Number 4
Showcase your analytical mindset by preparing examples of how you've used data to drive decisions in previous roles. Be ready to discuss specific projects where your data engineering skills led to improved outcomes, as this aligns well with the responsibilities outlined in the job description.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer - Transport Product (all genders)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position. Highlight the key responsibilities and required skills, such as experience with ETL pipelines, Python coding, and cloud technologies.
Tailor Your CV: Customize your CV to reflect your relevant experience in data engineering. Emphasize your skills in Python, SQL, and any experience with tools like Spark SQL or Apache Airflow. Use specific examples to demonstrate your expertise.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the transport domain. Mention how your entrepreneurial mindset aligns with the company's goals and how you can contribute to their data-oriented solutions.
Highlight Collaboration Skills: Since the role involves working in a cross-functional environment, make sure to mention your experience collaborating with product managers and engineers. Provide examples of how you've successfully worked in teams to achieve common goals.
Wie du dich auf ein Vorstellungsgespräch bei Zalando GmbH vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data engineering tools and technologies, especially Python, SQL, and distributed data processing frameworks like Spark SQL and PySpark. Highlight specific projects where you've designed and maintained ETL pipelines or worked with cloud services like AWS.
✨Demonstrate Collaboration Experience
Since the role involves working in a cross-functional environment, share examples of how you've collaborated with Product Managers, operations, and engineers in previous roles. Emphasize your ability to understand stakeholder needs and translate them into technical solutions.
✨Emphasize Clean Code Practices
Discuss your approach to writing clean, readable, and maintainable code. You might want to mention any coding standards you follow or tools you use for code quality assurance, as this aligns with the company's focus on promoting clean data engineering methodologies.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical mindset and problem-solving abilities. Be ready to walk through your thought process when tackling data-related challenges, particularly those involving data extraction, transformation, and loading processes.
