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Urgent! Senior Data Engineer - Emerging Propositions (All Genders) Job Opening In Berlin – Now Hiring Zalando GmbH
The Emerging Propositions Data Engineering team is responsible for enabling and evolving product offerings in Beauty, Designer and Pre-owned categories.
We solve customer problems related to unique customer experiences and assortment properties like high number of makeup shades, distinct presentation of luxury brands or dedicated data models for pre-owned articles.
As a Senior Data Engineer you will design, develop and operate the data infrastructure, datasets and data products.
The technical scope covers large-scale batch processing, data warehouses, ETL, data analysis and data observability.
INCLUSIVE BY DESIGN
At Zalando, our vision is to be inclusive by design.
And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status.
You are welcome to leave out your picture, age, or marital status from your application.
We only assess candidates on their qualifications and merit.
We want to provide you with a great candidate experience.
Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy:
Our employee resource groups:
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
Be in the driver's seat.
You enjoy being proactive, tackling complex business problems and taking the initiative to independently explore and understand them.
Collaborate with Product Managers, Data Scientists, Engineers, Analysts, and stakeholders across Emerging Propositions and Zalando to create a positive impact on customers.
Play a key role in the design, planning, development of datasets and data products.
Make informed technology and design decisions, taking ownership of these choices, and clearly communicating the architectural trade-offs involved.
Adopt an operational excellence mindset, participating in service operational duties, including data observability and maintaining a healthy infrastructure.
Support your colleagues through knowledge sharing, pairing and hands-on training.
Actively contribute to hiring and developing talent to strengthen the team.
Be part of a community of 150+ Data Engineers across the company, continually enhancing the data landscape at Zalando.
You have over 5 years of experience in large-scale data engineering using open source technologies.
You demonstrate strong communication and stakeholder management skills.
You love to learn and you use all opportunities to expand your technical expertise.
You have a good understanding of modern data engineering practices, including data modeling, data architecture, pipeline as a code, data observability.
You have solid experience with large-scale batch processing technologies (Airflow, Databricks, Presto/Trino, Spark, AWS data services).
You are proficient in SQL, including query optimisation and performance tuning.
You bring experience in designing, implementing, and deploying data processing pipelines in a production environment using Python.
Experience in other programming languages like Scala or Java is a plus.
If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement.
You may just be the right candidate for this or other roles!
OUR OFFER
Zalando provides a range of benefits, here’s an overview of what you can expect.
Ask your Talent Acquisition Partner to learn more about what we offer.
Learn all about Zalando and our values here:
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Unlock Your Senior Data Potential: Insight & Career Growth Guide
Real-time Senior Data Jobs Trends in Berlin, Germany (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Data in Berlin, Germany using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 37574 jobs in Germany and 4300 jobs in Berlin. This comprehensive analysis highlights market share and opportunities for professionals in Senior Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Zalando GmbH is currently hiring and seeking a Senior Data Engineer Emerging Propositions (All Genders) to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Data Engineer Emerging Propositions (All Genders) Jobs Berlin.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Zalando GmbH adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Data Engineer Emerging Propositions (All Genders) Jobs Germany varies, but the pay scale is rated "Standard" in Berlin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Data Engineer Emerging Propositions (All Genders) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior Data Engineer Emerging Propositions (All Genders) interview at Zalando GmbH, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Zalando GmbH's products or services and be prepared to discuss how you can contribute to their success.
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