Ippen Digital operates Germany's most successful digital editorial network: with more than 60 portals throughout Germany as well as locations and content partners in 31 cities. With a total reach of more than 300 million visits, the Ippen Digital Platform is one of the largest news platforms in Germany. The Ippen Digital platform combines a unique journalistic network of high-profile news offerings such as merkur.de, op-online.de, fr.de and fnp.de and selected verticals such as the gaming portal ingame.de, the auto portal 24auto.de and our newest partner BuzzFeed. Knowledge exchange, advancement and development – that’s core at Ippen Digital.

We are looking for an experienced

Graph Technology Data Engineer (m/f/d)

Your responsibilities

• Create and maintain optimal data pipeline architecture
• Assemble large, complex datasets that meet business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Streaming and AWS ‘big data’ technologies
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Work with data and analytics experts to strive for greater functionality in our data systems

Your basic qualifications

• 4+ years of experience within data science, data engineering, software development or data strategy
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience building and optimizing ‘big data’ data pipelines, architectures and datasets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• A successful history of manipulating, processing and extracting value from large disconnected datasets
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores

Your advanced qualifications

• Experience with network graph database platforms that include Tigergraph, neo4j, Azure CosmosDB, and Amazon Neptune
• Experience with graph programming languages, including Gremlin, or SPARQL
• Experience with deploying large scale graph databases to the cloud
• Strong project management and organizational skills
• Experience supporting and working with cross-functional teams in a dynamic environment

What we offer

• As a start-up in a large company – enjoy the best of both worlds: flat hierarchies, flexible working hours, a delicious canteen, regular fruit baskets and fair payment
• Pursuing a valuable vision: to continue to shape digital journalism locally and independently, and thus to promote diversity of opinion within the society
• Joint implementation of innovations in projects together with major international partners such as Google and Facebook, often first in the industry
• A pleasant working atmosphere with agile, creative and motivated colleagues, for whom the respectful interaction is still very important
• Transparency and a no blame culture are not just buzzwords for us
• Strong focus on personal development opportunities and knowledge exchange in everyday work
• Benefits such as canteen allowance, coffee, water and tea for free
• Attractive workplace in our new office in the heart of Munich directly at the main train station

Intrigued by this role? Applying is easy: directly online, whether a cover letter or a short video together with your CV - you decide how you would like to present yourself. You can reach your contact person Christian Celikovic at +49 89 541 984 07 or by email christian.celikovic@ippen-digital.de.