Auf einen Blick
- Aufgaben: Design and maintain high-performance data pipelines for various stakeholders.
- Arbeitgeber: ABOUT YOU is committed to inclusivity and shaping a fair fashion culture.
- Mitarbeitervorteile: Enjoy a supportive environment that prioritizes mental and physical well-being.
- Warum dieser Job: Make a real impact on data infrastructure while collaborating with diverse teams.
- Gewünschte Qualifikationen: Bachelor’s in a MINT field; experience with large-scale data pipelines and SQL required.
- Andere Informationen: Join us in empowering acceptance and promoting diversity in the workplace.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
As a Senior Data Engineer at ABOUT YOU , you will play a pivotal role in the Reporting and Data Science team, responsible for developing and maintaining a robust data platform. This platform supports complex data pipelines essential for various stakeholders, including finance, logistics, and marketing. Your work will directly impact the company’s data infrastructure and the efficiency of its operations. The challenge is to lead and manage the transition from legacy systems to a new, high-performance data platform.
What you will do
- Design, build, and maintain high-performance, scalable, and well-documented data pipelines.
- Create automated monitoring and alerting systems to ensure data integrity and proactively identify anomalies.
- Collaborate with cross-functional teams to understand data needs and deliver data solutions that support business objectives.
- Lead the migration of data infrastructure from legacy systems, ensuring minimal disruption and optimal performance.
- Set and uphold data engineering standards, share knowledge, and promote best practices within the team.
Who you are:
- Bachelor’s degree in a MINT-related field or equivalent experience.
- Extensive experience in building and maintaining large-scale data pipelines.
- Proficiency in data orchestration and processing tools such as Apache Airflow, Google Cloud Dataflow, or Metaflow.
- Strong expertise in SQL, particularly in big data environments.
- Solid background in software engineering with a focus on Python development.
- Experience with cloud platforms (AWS, GCP, Azure) and Infrastructure as Code (IaC) tools is a plus.
- Excellent communication skills to convey complex ideas clearly and simply.
- Ability to work independently and manage projects with multiple stakeholders.
- Pragmatic problem solver who thrives on getting things done.
YOU ARE THE CORE OF ABOUT YOU.
We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities and ethnicities feel welcomed and accepted exactly as they are. We believe that a diverse workforce essentially contributes to the ABOUT YOU culture. In order to maintain talent and diversity, we emphasize the care for physical health, mental health and overall well-being. Our values and work ethics essentially contribute to our brand mission: empower acceptance and shape an inclusive, fair and circular fashion culture.
We are looking forward to receiving your application – preferably via our online application portal! This way, we can ensure a faster process and for you, it is very easy to upload your application documents. 🙂
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Senior Data Engineer (m/f/d) Arbeitgeber: About You - Collins GmbH & Co. KG
Kontaktperson:
About You - Collins GmbH & Co. KG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Engineer (m/f/d)
✨Tip Number 1
Familiarize yourself with the specific data orchestration and processing tools mentioned in the job description, like Apache Airflow or Google Cloud Dataflow. Having hands-on experience or projects showcasing these tools can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your experience with migrating data infrastructure from legacy systems. Be ready to share specific examples of challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 3
Highlight your collaboration skills by thinking of instances where you worked with cross-functional teams. Being able to communicate complex ideas clearly is crucial, so practice explaining technical concepts in simple terms.
✨Tip Number 4
Show your passion for data engineering by staying updated on industry trends and best practices. Mention any relevant online courses or certifications you've completed, as this demonstrates your commitment to continuous learning.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Engineer (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Engineer position at ABOUT YOU. Familiarize yourself with the technologies mentioned, such as Apache Airflow and SQL, to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasize your extensive experience in building and maintaining large-scale data pipelines. Provide specific examples of projects where you successfully led data migrations or implemented monitoring systems.
Showcase Your Skills: Clearly outline your proficiency in data orchestration tools and cloud platforms. Mention any relevant certifications or projects that demonstrate your expertise in Python development and Infrastructure as Code (IaC) tools.
Craft a Compelling Cover Letter: Write a personalized cover letter that reflects your understanding of ABOUT YOU's values and culture. Explain why you are passionate about contributing to their mission of creating an inclusive fashion culture and how your skills align with their needs.
Wie du dich auf ein Vorstellungsgespräch bei About You - Collins GmbH & Co. KG vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data orchestration and processing tools like Apache Airflow or Google Cloud Dataflow. Highlight specific projects where you built and maintained large-scale data pipelines, as this will demonstrate your technical expertise.
✨Communicate Clearly
Since excellent communication skills are essential for this role, practice explaining complex data concepts in simple terms. This will help you convey your ideas effectively during the interview and show that you can collaborate with cross-functional teams.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled challenges in previous roles, especially related to migrating data infrastructure from legacy systems. Emphasize your pragmatic approach to problem-solving and how you ensure minimal disruption during transitions.
✨Emphasize Team Collaboration
Discuss your experience working with various stakeholders to understand their data needs. Highlight instances where you delivered data solutions that supported business objectives, showcasing your ability to work independently while also being a team player.