Senior Data Engineer (Microsoft Stack)

The Adastra Group is an international IT consulting company with 24 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 2000 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



We are looking for a Senior Data Engineer - Microsoft Stack (m/w/d) to strengthen our team in Frankfurt am Main.

Your responsibilities:

• Design, develop, and deploy scalable end-to-end data solutions using latest cloud technologies from Microsoft including, but not limited to: Azure Synapse Analytics, Azure SQL DB, Azure Data Factory, Azure Analysis Services
• Consult our customers in building big data platforms based on Cloudera in the cloud
• Design & build data pipelines to load data from streaming and batch sources into Data Lakes / Data Warehouses / Data Marts
• Work with a wide variety of data sources located on-premises and in the cloud
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Design, develop and implement data models
• Promote best practices that enable teams to accelerate their consumption and understanding of data
• Bring thought leadership in the area of Data & Analytics when it comes to Big Data platforms on Azure 

Required Skills, Education, Knowledge and Experience:

• A university degree in computer science, business informatics, business administration with an IT focus or in 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
• 2+ years of working experience in one or more of the technologies: Azure Synapse Analytics, Azure SQL DB, Azure Data Factory, Azure Analysis Services, Cloudera / Hortonworks
• Knowledge of data management fundamentals and data storage principles
• You have demonstrated expertise in data modelling, data pipelines development, and data warehousing in your career
• Comfortable with writing complex T-SQL queries
• Basic skills in at least one of the following programming languages: DAX, Python, R, Scala or Java
• Experienced in using big data technologies (Hadoop, Hive, Spark etc.) and commercial ETL software

Nice-To-Have:

• Microsoft Certification in Azure: Azure Developer Associate, Azure Administrator Associate, Azure Solutions Architect Expert, Azure Data Engineer Associate, Data Analyst Associate
• Experience in the finance industry

What we offer:

• Working in an international team of Data & Analytics 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 & benefits package