Data Engineer

  • Full time
  • Prague
  • Posted 2 weeks ago

Avanade Poland

Machine Learning (nice to have)
Azure IoT (nice to have)
CosmosDB (nice to have)
Spark (nice to have)
Python/C# (regular)
SQL Server (regular)
one or more Azure Data and Analytics services (regular)
English (advanced)
Azure (advanced)
As a Data Engineer Consultant, you know the importance of data to the business. You design and set up projects that bring together information from various sources to enable analysis and decision-making. You make sure that data is accessible and easy to use for routine and ad-hoc analysis.

Day-to-day, you will be:
  • Finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise.
  • Collecting the data from various sources, transforming it into desire formats, and storing it into data stores like Data Lake, Azure Synapse Analytics.
  • Implementing complex, large-scale big data projects focusing on collecting, managing, analyzing, and visualizing large datasets.
  • Taking part in designing and running bespoke data services for individual projects.
  • Staying up to date with leading-edge processes in using, retrieving data, building machine learning models.
  • Crafting and use effective metrics and monitoring processes.
  • Support deal teams by providing subject knowledge and solutions for client proposals
About you: 
You’re a Data Engineer who knows how to find, store, analyze, transform and present a range of information from different sources so that everyone can access what they need effectively.
Your skills and experience likely include:
  • Hands-on in structured problem-solving.
  • Excellent collaboration skills with business analysts and data scientists. 
  • The ability to apply methods to tackle business problems using one or more Azure Data and Analytics services combined with building data pipelines, data streams, and system integration.
  • Being engaged in end-to-end Data Ingestion → Data Transformation → Data Persistence → Performance Optimization process.
Minimum technical requirements:
  • At least two years of commercial experience with object-oriented languages (Python andor C# is strongly preferred, but could be Java/C++ as long as you are willing to learn Python andor C#)
  • SQL Server
  • Azure Databricks/Azure Data Lake/Azure Data Factory
  • Git
The following are important for us, any knowledge/experience would be a huge advantage:
  • Snowflake
  • Azure Synapse Analytics
  • Graphs (Azure Digital Twins, Gremlin, Neo4j)
  • CosmosDB
  • Azure Streaming Analytics
  • Azure IoT in a general sense

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