As a Senior Data Engineer within the ZMS Data team, you will take end to end ownership of our Data Management Platform. You are responsible to ingest new Data Sources, often in collaboration with our Data Science team.
You will increase processing speed and optimize costs of our EMR clusters.
You will choose emerging technologies and approaches to create high-performance data processing solutions that scale. You will challenge our status quo and help us define best practices for how we work by designing data-intensive applications.
Our data teams aim to solve the specific problems of a very data-driven company that has already begun the journey to become a platform.
WHERE YOUR EXPERTISE IS NEEDED
Designing, developing, and operating data integration pipelines to provide high-quality datasets for analytical and machine learning use-cases.
You and your team will own your code, and decide on the technologies and tools to deliver as well as operate large-scale applications on a PaaS / SaaS cloud (AWS)
Involved in building new ETL processes that might include combining data from multiple sources and maintaining the existing ones.
Responsible for doing ad hoc analysis and building impactful data visualizations
Consulting with Analysts, Data Scientists, and Product Managers to build and continuously improve a variety of data products that create value for our business.
Heavily contribute to making integrated data and machine learning models available in real-time to our application landscape.
Be a sparring partner to other team members, and provide support and guidance to other engineers to help develop their technical capabilities.
WHAT WE’RE LOOKING FOR
Excellent knowledge in working with Apache Spark, plus very good knowledge of relational database systems (e.g PostgreSQL), knowledge of additional Big Data technologies like Hive, Flink or Kafka is a plus.
Experience doing data analysis with SQL
Solid programming skills in Scala / Java and Python
Knowledge of workflow management tools such as Airflow and hands-on experience in cloud technologies (AWS ideally), container / orchestration tools (Kubernetes, Docker).
PERKS AT WORK
A workplace run on trust, empowerment and feedback; positive, inspiring working atmosphere
Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
Mentoring and personal development opportunities and an international team of experts
Relocation assistance for internationals, PME family service and parent & child rooms* (*available in select locations)
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills.
All employment is decided on the basis of qualifications, merit and business need.