Detailed Information

Freelance Data Engineer
– of a recognized key player in innovating German AI

THE COMPANY – Who are we?
Mapegy offers high-tech companies and institutions software to make more efficient R&D decisions based on facts and figures that have been mined from global innovation data, such as scientific publications, patents, or news articles. We offer a multicultural and passionate team with a growth mentality.
Mapegy is based in Berlin, Germany’s (startup) capital and innovation hub.

We are looking for a senior-level freelance data engineer. Your mission will be to consolidate and maintain mapegy’s current data warehousing infrastructure, ensure quality and up-to-dateness of data, and help build future solutions for mapegy’s growing data storage and management needs.
**We are looking for a freelancer starting in March, who works for 2-5 days a week at our office in Berlin. Salary is negotiable.**

– Ensure performance, security, and availability of PostgreSQL databases
– troubleshoot database-related application performance issues
– be an expert in performance tuning, backup/recovery, and capacity planning
– import and integrate data from various sources into the data warehouse
– ensure data quality by implementing processes for data profiling, data cleansing, and data change management
– write and maintain scripts to automate these complex tasks

– At least 5 years of professional, hands-on experience with PostgreSQL are required, including:
– Architecting and implementing complex ETL solutions
– knowledge and understanding of all aspects of database configuration and SQL query tuning
– mastery of writing complex SQL queries for the preparation, fusion, integration, deduplication, and cleansing of large datasets
familiarity with backup and recovery strategies

Also required are a strong proficiency of working and scripting in a Unix/Linux environment, and good commandment of the English language.

We would love to see an interest and ability to investigate and learn the following skills:
– Data mining (programming in Python, R)
– scaling the capacity of a database using techniques like caching or sharding
– big data technologies, such as:
– NoSQL databases (redis, neo4j, mongoDB, OrientDB, Cassandra)
– information retrieval (Apache Lucene)
– distributed computing (Apache Hadoop, Apache Spark)

– Flex your analytical skills, help us transform Big Data into actionable insights that our customers will use to drive innovation
– Challenge yourself, working with a rich and highly heterogeneous dataset
– Enjoy mapegy’s casual work environment with flat hierarchies, and feel the heightened sense of opportunity and responsibility

Send your resume AND cover letter to Dr. Peter Walde (

10 - 12 Bismarckstraße , Berlin, Berlin 10625, Deutschland
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