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- Aufgaben: Design and implement data solutions to enhance customer communication experiences.
- Arbeitgeber: Join HelloFresh, a leader in personalized meal delivery, focused on quality and innovation.
- Mitarbeitervorteile: Enjoy a collaborative work environment with opportunities for mentorship and professional growth.
- Warum dieser Job: Be at the forefront of data engineering, impacting customer engagement and operational excellence.
- Gewünschte Qualifikationen: Strong skills in data engineering, programming (Python, SQL), and problem-solving are essential.
- Andere Informationen: Work closely with cross-functional teams in an agile setting, fostering a culture of learning.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
In the Communications domain, understanding our customers is paramount to delivering a personalized and engaging communication experience. Achieving this necessitates high-quality data assets that seamlessly integrate data from various teams across HelloFresh. A robust and scalable data infrastructure is therefore indispensable for processing and delivering these assets promptly.
As a Staff Data Engineer in the Communications domain, you will collaborate closely with the Engineering teams responsible for developing and maintaining this data infrastructure. Your role involves designing technical solutions that address customer challenges, leveraging cutting-edge data engineering practices and technologies. Additionally, you will be entrusted with ensuring Operational Excellence within the domain, identifying opportunities to enhance reliability, performance, and cost efficiency.
Responsibilities
- Collaborate with and advise Engineering teams in designing technical solutions, ensuring coherence with our target data architecture.
- Act as an engaged, solution-driven member of autonomous, cross-functional agile teams, collaborating with Product Owners, Engineers, Data Scientists, and Marketing teams across all stages of our Product Development lifecycle, from Product Discovery to Delivery.
- Demonstrate an in-depth understanding of HelloFresh’s core product and architecture, serving as an ambassador for data solutions and best practices while providing support and mentorship to colleagues.
- Address software and data challenges with visible risks, roadblocks, and constraints, such as legacy dependencies, data quality issues, compliance concerns, or limitations in architecture or technology.
- Advocate for (Data) Operational Excellence, assisting teams and Engineering Leadership in identifying and prioritizing investments that enhance data quality and the robustness of data pipelines.
Qualifications
- Technical Proficiency: A strong foundation in data engineering concepts, including data modeling, ETL processes, data warehousing, and proficiency in relevant programming languages (e.g., Python, SQL).
- Problem-solving Skills: The ability to analyze complex data challenges, identify potential solutions, and implement effective strategies to address them. This includes troubleshooting data issues, optimizing data pipelines, and improving data quality.
- Collaboration and Communication: Effective communication and collaboration skills are essential for working closely with cross-functional teams, including engineers, data scientists, product owners, and stakeholders. This involves clearly articulating technical concepts, actively participating in discussions, and fostering a collaborative environment.
- Adaptability and Learning Agility: Given the rapidly evolving nature of technology and data-related tools and techniques, you should demonstrate adaptability and a willingness to continuously learn and stay updated on industry trends, emerging technologies, and best practices.
- Leadership and Mentorship: As a member of the technical leadership team, you should demonstrate leadership qualities by providing guidance, mentorship, and support to (more) junior team members. This includes sharing knowledge, providing constructive feedback, and fostering a culture of learning and growth within the organization.
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Staff Data Engineer Arbeitgeber: Treehouse
Kontaktperson:
Treehouse HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Staff Data Engineer
✨Tip Number 1
Familiarize yourself with HelloFresh's core product and architecture. Understanding how data flows through the system will help you articulate your insights during discussions with cross-functional teams.
✨Tip Number 2
Stay updated on the latest data engineering practices and technologies. This will not only enhance your problem-solving skills but also demonstrate your commitment to continuous learning, which is highly valued in our team.
✨Tip Number 3
Showcase your collaboration skills by engaging with potential colleagues on platforms like LinkedIn or at industry events. Building relationships with engineers, data scientists, and product owners can give you insights into the team's dynamics and culture.
✨Tip Number 4
Prepare to discuss specific examples of how you've addressed data challenges in the past. Highlighting your experience with optimizing data pipelines and improving data quality will resonate well with our focus on Operational Excellence.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Staff Data Engineer
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Staff Data Engineer position. Familiarize yourself with data engineering concepts, especially those mentioned in the job description.
Tailor Your CV: Customize your CV to highlight relevant experience in data engineering, programming languages like Python and SQL, and any previous work with cross-functional teams. Emphasize your problem-solving skills and any leadership or mentorship roles you've held.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of HelloFresh's mission. Discuss how your skills align with the company's needs and provide specific examples of how you've successfully tackled similar challenges in the past.
Showcase Collaboration Skills: In your application, emphasize your ability to work collaboratively with diverse teams. Provide examples of how you've effectively communicated technical concepts and contributed to a positive team environment in previous roles.
Wie du dich auf ein Vorstellungsgespräch bei Treehouse vorbereitest
✨Showcase Your Technical Proficiency
Be prepared to discuss your experience with data engineering concepts, especially data modeling, ETL processes, and data warehousing. Highlight specific projects where you utilized programming languages like Python and SQL to solve complex data challenges.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've tackled data issues in the past. Discuss your approach to troubleshooting, optimizing data pipelines, and improving data quality, emphasizing your analytical thinking and strategic implementation.
✨Emphasize Collaboration and Communication
Since this role involves working closely with cross-functional teams, practice articulating technical concepts clearly. Share experiences where you successfully collaborated with engineers, data scientists, and product owners to achieve common goals.
✨Exhibit Adaptability and Learning Agility
Highlight your willingness to learn and adapt to new technologies and industry trends. Discuss any recent courses, certifications, or self-study initiatives that demonstrate your commitment to staying updated in the rapidly evolving data landscape.
