Senior Data Engineer-Product Data Quality

Zalando GmbH; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Discount on Zalando products

Volunteer days

Vacation days

Ergonomic setup allowance

Pension match

Life Assurance

Income protection

Cycle to Work

Tax Saver Tickets

Employee shares program

Family services

Wellbeing options

Mental health support

Training & peer reviews

Job summary

Zalando GmbH in Dublin is seeking a data engineer to design, build, and deploy cloud-based data processing architectures and dashboards. You will work with a mix of data and backend software engineers, product managers, and applied scientists to derive insights from hundreds of thousands of live products and scale them to customers.

You will lead data pipelines, ensure high-quality, testable systems, and collaborate across ML engineers and software teams.

Qualifications

• Experience designing and maintaining data pipelines and data-driven systems.
• Strong collaboration with engineers, scientists and product owners.
• Ability to design scalable cloud data architectures.
• Demonstrated excellence in delivering high-quality, tested software.

Responsibilities

• Lead design, development, and deployment of data pipelines and dashboards.
• Foster effective collaboration across engineering, applied science, and product teams.
• Design resilient architectures adaptable to evolving requirements.
• Deliver high-quality, testable systems with robust reviews and mentorship.
• Iteratively test features with stakeholders while aligning with project goals.
• Enhance team velocity through automation and clear communication.
• Work with Databricks, Spark, and Airflow to build data infrastructure.
• Collaborate with ML engineers and software teams across domains.
• Craft concise documentation for remote workflows.

Skills

Data pipelines

Backend software engineering

Stakeholder collaboration

Cloud architectures

Tools

Databricks

Spark

Airflow

Kubernetes

Kotlin

PostgreSQL

Elastic Search

AWS

Job description

The Product Data Quality team is looking for a talented data engineer who has a passion for building applications at the intersection of data engineering, software development and data science. Our team consists of a great mix of Data and backend Software Engineers, Product Managers and Applied Scientists that are tasked with gaining insights into our assortment of hundreds of thousands of live products using AI, and then bringing these insights to our customers at scale in new and engaging ways.

As a member of the Product Data Quality team, you will collaborate closely with your engineering colleagues, including those in product and applied science teams, to design, build, deploy, and monitor cloud-based data processing architectures. These systems intelligently gather machine learning insights from multiple independent data sources and combine them to enhance our product information in a scalable and maintainable manner. In addition to data engineering pipelines, the team also develops and maintains cloud-based microservice architectures, for example a flexible rules engine and an image customization service. We work with a leading edge technology stack composed of Databricks, Python, Airflow, Kotlin, Kubernetes, Elastic Search, PostgreSQL and other AWS services amongst others - check our Tech Blog for more information on the technologies we use.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

Lead the design, development, and deployment of the team's data pipelines, dashboards and other systems, demonstrating seasoned expertise.

Exhibit robust stakeholder management skills, fostering effective communication and collaboration with engineering peers, applied scientists, and product owners throughout the organisation.

Design, construct, and maintain resilient architectures adaptable to evolving product requirements.

Consistently deliver high-quality, testable, and dependable systems, fostering a culture of excellence through comprehensive reviews and mentorship.

Embrace agility by iteratively testing features with stakeholders while maintaining a holistic perspective on project goals.

Prioritise team processes, automation, communication, and collaboration to bolster the team's velocity and output, driving toward collective success.

You have deep experience and passion in designing and implementing data pipelines, utilising technologies such as Databricks, Spark and Airflow.

You thrive in collaborative environments, seamlessly integrating with various stakeholders and navigating complex domains, such as ML Engineers, Applied Scientist and other Software Engineering teams.

You’re excited about not just the “how” but also the “what”, putting yourself in a customer mindset to build compelling experiences.

You are a smart individual with considerable engineering experience and skills, driven by the desire to tackle tangible customer problems.

You feel at ease with our diverse tech stack, embracing the opportunity to learn new languages, technologies, and systems to wield the most effective tool for each task. (currently Databricks, Python, Airflow, Kubernetes, Kotlin, PostgreSQL, Elastic Search, AWS).

Your ability to navigate between greenfield feature development and the challenges of enhancing existing systems is paramount.

Your clear verbal and written communication skills are essential for effectively conveying needs and addressing technical inquiries. Crafting concise and well-written documentation holds particular importance in our current remote working setup.

If you're someone who is passionate about engineering, finding joy in the processes of designing, creating, and problem-solving, you'll feel right at home here!

Zalando provides a range of benefits, here’s an overview of what you can expect.

40% off products sold and shipped by Zalando

2 paid volunteering days a year

Work from abroad for up to 30 working days a year

27 days of vacation per year to start

A one-time allowance to set up an ergonomic workstation (outside of Zalando office)

Pension Trust Fund-up to 10% match (opt-in)

Life Assurance

Income Protection

Cycle to Work Scheme

Tax Saver Commuter Tickets

Employee shares program

Family services, including counseling and support

Health and wellbeing options, including Wellhub

Mental health support and coaching available

Professional development through our training platform and biannual peer-to-peer reviews

INCLUSIVE BY DESIGN

At Zalando, our vision is to be the leading European technology platform for fashion and lifestyle – one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds.

We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.

We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process, please let us know – we are here to assist you.