Logo of Huzzle

Home

Matches

Explore

Manage

Data Engineer (all genders)

image

Zalando

1mo ago

  • Job
    Full-time
    Mid Level
  • IT & Cybersecurity
  • Berlin

AI generated summary

  • You need 3+ years in data engineering, strong stakeholder management, experience with SQL, Python, PySpark, Airflow, and a passion for creating impactful data solutions.
  • You will design and implement data infrastructures, support users in identifying needs, transform business challenges into technical requirements, and improve legacy data models in a collaborative environment.

Requirements

  • A minimum of 3 years of professional experience in data engineering is required, preferably in a fast-paced environment. Experiences in data analytics are considered a big plus.
  • Solid experience in requirements engineering. You are the one person who will get to know what information needs business people have before they know themself
  • Strong communication and stakeholder management skills
  • Experience in designing, implementing, and deploying data processing pipelines in a production environment using SQL and Python.
  • Hands on experience with PySpark and Airflow.
  • Experience with the following tools and technologies is a nice to have
  • Databricks
  • OOP with Python
  • AWS
  • Git
  • You have a passion for data and thrive on collaborating with business partners to devise impactful data solutions. Your keen interest lies in delving deeper into uncovering customer needs, even those that may not be immediately apparent, all while eagerly pursuing to engineer efficient and resilient data products.

Responsibilities

  • Provide the departments most critical set of data infrastructures like large-scale ETL processes, DWHs, stream and batch processing pipelines and large-scale high-throughput/low-latency data stores
  • Guide and support business users to identify their data needs
  • Transform business challenges into technical requirements
  • Keep-it-simple approach, with the right amount of foresight in designing an efficient and flexible data products
  • Redesign or deprecation of legacy data models
  • Business acumen and a strategic approach to reporting and stakeholder management
  • Start-with-yes mindset, while willing to challenge the status quo when necessary in pursuit of excellence and continuous improvement
  • Foster an inclusive & diverse team environment

FAQs

Do we support remote work?

Yes, we support remote work in a hybrid format, allowing for 60% remote work per week.

What is the required professional experience for this role?

A minimum of 3 years of professional experience in data engineering is required.

Is experience in data analytics considered beneficial for this position?

Yes, experience in data analytics is considered a big plus for this position.

What technologies and tools should I be familiar with for this role?

Familiarity with SQL, Python, PySpark, Airflow, Databricks, AWS, and Git is beneficial.

Will I be working closely with business stakeholders?

Yes, you will work closely with a diverse set of stakeholders to understand business needs and translate them into data requirements.

What types of data products will I be involved in developing?

You will develop adaptable and scalable data products, including large-scale ETL processes, data warehouses, and batch processing pipelines.

Does the company offer any support for mental health?

Yes, we provide mental health support and coaching as part of our health and wellbeing options.

Are there opportunities for professional development?

Yes, employees can drive their development through our training platform and participate in biannual peer-to-peer reviews.

Do we offer vacation days?

Yes, you will start with 27 days of vacation per year.

Is there assistance for relocation available?

Yes, relocation assistance is available subject to prior agreement.

image

Zalando

Europe’s leading online platform for fashion and lifestyle.

Retail & Consumer Goods
Industry
10,001+
Employees
2008
Founded Year

Mission & Purpose

Zalando is a leading European online platform for fashion and lifestyle, offering a wide range of clothing, footwear, accessories, and beauty products from various brands. Their ultimate mission is to provide customers with a seamless and inspiring shopping experience, blending fashion with technology to create innovative solutions. The purpose of Zalando is to revolutionise the fashion industry by offering a diverse and inclusive shopping environment where customers can discover and purchase the latest trends and styles conveniently online. They aim to empower people to express their individuality through fashion while fostering sustainability and ethical practices within the industry.