Senior Data Engineer - Emerging Propositions (All Genders)
Berlin
Zalando
Entdecke Schuhe, Mode und Accessoires der aktuellen Saison online | Schnelle und versandkostenfreie Lieferung* | ZalandoThe 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: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/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
WE’D LOVE TO MEET YOU IF
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 a 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.
- Employee shares program
- 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
- 2 paid volunteering days a year
- Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration
- Work from abroad for up to 30 working days a year
- 27 days of vacation a year to start
- Relocation assistance available (subject to prior agreement)
- Family services, including counseling and support
- Health and wellbeing options (including Gympass)
- Mental health support and coaching available
- Drive your development through our training platform and biannual peer-to-peer review
Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Data analysis Databricks Engineering ETL Java Open Source Pipelines Python Scala Spark SQL
Perks/benefits: Career development Fitness / gym Health care Relocation support Startup environment
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