Project Description & Role

Take your career onwards and upwards thanks your data engineering skills, professional qualities and personality, regardless of where you happen to be based!

K&C is recruiting for a remote senior data modelling engineer to work on the digital evolution of Germany’s market leader in adventure activities, experience gifts and tourism.

The group is expanding quickly with new brands and verticals including a tour operator, leisure community, a booking platform and new SaaS product. 

As a senior data modelling engineer with the K&C team working on our client’s digital products, you will initiate, manage and automate our routines to gather (un)structured data from several different data sources and load it into our cloud-based Data Warehouse.

You will work within our Business Intelligence team, which consists of Data Engineers, Data Scientist and Data Analysts.

You will also work closely with other IT departments to ensure the operation of our Data Warehouse. Our Data Engineers work with the latest technologies to build our Data Warehouse as the single point of truth for the company.

Your role and responsibilities:

• Data Modelling / Data Mart construction.
• Develop big data ETL pipelines with Python and Spark (Pyspark) in an agile environment.
• Connect a variety of data sources (SAP-HANA, Google, (non)relational databases, Kafka Stream etc.) and integrate it into our cloud based DataLake (Microsoft Azure).
• Work closely with the product owner and design the data model to match their needs for sourced tables and structured Datamarts.
• Make sure the Data Warehouse keeps its data integrity and availability.

You should have:

• University degree in economics with a technical focus, business informatics or any other related area of study.
• 3 years of working experience in the data and business intelligence field.
• Very good Python knowledge.
• Solid experience with Apache Spark and Big Data.
• Experience in agile software development (Git, Jira, Jenkins CI).
• Know-how of the latest toolsets on Data integration, storage and modelling in the context of Data Warehouse and Data Lake (preferably Databricks, Kafka Streaming, Airflow).
• Sound understanding of distributed systems.

Required skills:

• Data Engineering – 2 years
• Python – 3 years
• Experience in Apache Spark
• Experience in Big Data
• Experience in Git
• Experience in Jira
• Experience in Jenkins
• Experience in Data modelling
• Experience in data integration
• Experience in data storage
• Experience in data warehouses
• Experience in data lakes
• Experience in Data Marts
• Experience in Databricks
• Experience in Kafka Streaming
• Experience in Airflow
• English – proficient

Why join the K&C team and this project?

• German IT Company with HQ in Munich
• 20+ years in Europe
• Competitive compensation;
• Talented team without hierarchies
• 20 workdays of vacation per year, 15 days of paid sick leave;
• Fulltime remote work possible; as is being based in one of our offices in Krakow, Baku, or Sofia, if you prefer an office environment or hybrid
• Flexible working schedule.

Sounds interesting? We are excited to get to know you!