Cloud Data Engineer (m/w/d)

Thessaloniki / Frankfurt am Main / München / Wolfsburg / Magdeburg / Darmstadt / Hannover

The Adastra Group is an international IT consulting company with 23 international offices and headquartered in Toronto, Canada. Adastra provides leading companies with the full range of consulting services in information management - from conception to implementation and application of innovative Data & Analytics solutions. With over 2600 experts worldwide we bridge the gap between business departments and IT to increase the operational efficiency of our customers. For more information, please check www.adastragrp.com.

Your responsibilities:

  • Identification of big data use cases and classification of suitable technologies considering customer specifics
  • Design, develop, and deploy scalable end to end big data solutions using latest relevant cloud technology
  • Implement extract, transform, and load data from a wide variety of data sources present on-premise and in the cloud
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • Research opportunities for data acquisition and new uses for existing data
  • Creation and support of batch and real-time data pipelines built on Azure, AWS or GCP technologies
  • Promote best practices that enable teams to accelerate their consumption and understanding of data


Required Skills, Education, Knowledge and Experience:

  • A university degree in computer science, business informatics, business administration with an IT focus or in a a comparable course of study
  • 3+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
  • Demonstrated strength in data modeling, ETL development, and data warehousing
  • Experience using big data technologies (Hadoop, Hive, HBase, Spark etc.)
  • Knowledge of data management fundamentals and data storage principles
  • Proficiency in one programming language – Python, Scala or Java
  • Comfortable writing complex SQL queries in DWH/RDMS/Big Data environments
  • Working knowledge of Linux/Unix
  • Clear and succinct verbal and written communication skills in English and preferably also German

Nice-to-have:

  • Experience with AWS, Azure or GCP primarily on DWH, ETL, Big Data and Analytics Services
  • AWS, MS Azure or GCP certifications in the area of Data Analytics & Cloud technologies are welcome

What we offer:

  • Working in an international team of Business Analysts, DWH and BI experts
  • A work environment where knowledge-sharing is coveted and which has an open feedback culture
  • Excellent opportunities for professional growth through industry-recognized projects for internationally-known clients
  • Support to fulfill your personal potential and individual career planning (Training and further education, participation in conferences, etc.)
  • Opportunities to take responsibility at an early stage
  • Flat hierarchies and an attractive salary package