Staff Data Engineer (m/f/d) - FiTe

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in Hamburg
Remote
Expert/Leader
Retail • Software
The Role
As a Staff Data Engineer, you'll lead the Reporting and Data Science team in designing and developing scalable data pipelines, overseeing migration to new data platforms, maintaining data integrity, and enforcing engineering standards across the organization. You'll drive continuous infrastructure improvements while managing cross-functional teams and ensuring effective communication.
Summary Generated by Built In

Job Description

As a Staff Data Engineer at ABOUT YOU, you will take on a leadership role within the Reporting and Data Science team. Your extensive experience will be crucial in guiding the team through complex challenges, including the migration from legacy systems to a new data platform. You will be responsible for setting the technical direction, ensuring best practices, and building a data infrastructure that meets the needs of various stakeholders across the organization.

What you will do

  • Lead the design and development of high-performance, scalable, and well-documented data pipelines.
  • Build and maintain automated monitoring and alerting systems to ensure data integrity and quickly address anomalies.
  • Oversee the migration of data infrastructure from legacy systems, ensuring seamless transition and minimal downtime.
  • Develop and maintain a platform and framework that serves as the technical foundation for other data teams.
  • Establish and enforce data engineering standards, and lead the sharing of knowledge and best practices across the organization.
  • Drive continuous improvement in data infrastructure, proactively identifying and implementing enhancements.

Who you are

  • Bachelor's or Master's degree in a MINT-related field or equivalent experience.
  • Extensive experience in building and maintaining large-scale data pipelines, with a proven track record of success.
  • Deep expertise in data orchestration and processing tools like Apache Airflow, Google Cloud Dataflow, or Metaflow.
  • Advanced SQL skills, particularly in handling big data environments.
  • Strong software engineering background with a focus on Python development.
  • Experience with cloud platforms (AWS, GCP, Azure) and Infrastructure as Code (IaC) tools.
  • Experience with queuing and messaging systems, with a basic understanding of PHP for better system integration.
  • Excellent leadership and communication skills, with the ability to convey complex concepts to both technical and non-technical stakeholders.
  • Ability to drive projects independently and manage cross-functional teams.
  • In-depth knowledge of BigQuery, CI/CD tools, and containerization technologies like Docker is highly desirable.
  • Pragmatic problem solver with a strong focus on delivering results.


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! Thus, we can ensure a faster process and for you it is very easy to upload your application documents.

Top Skills

Python
The Company
Hamburg
196 Employees
On-site Workplace
Year Founded: 2018

What We Do

SCAYLE enables brands and retailers to realize their D2C ambition. Easy. Fast. And limitless. With headless commerce technology, international operations, and data-driven marketing. Our commerce engine is proven by the success of ABOUT YOU and allows brands to scale infinitely – empowering them to become market leaders in their industry.

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