Data Engineer
Data
Data Engineer
Kraków
Type of work
Undetermined
Experience
Mid
Employment Type
Permanent
Operating mode
Remote
Tech stack
Azure
one or more Azure Data and Analytics services
English
Azure Data Bricks
SQL Server
OOP
C#
Python
Machine Learning
Spark
Job description
Online interview
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Both permanent and B2B contracts available!
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Do you love making sure that information is available and consumable? So do we.
Both permanent and B2B contracts available!
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Do you love making sure that information is available and consumable? So do we.
As a Data & AI 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 and AI engineer who knows how to find, store, analyze, train, model, and present a range of information from different sources so that everyone can access what they need quickly, simply, and use it effectively.
Your skills and experience likely include:
- Hands-on in structured problem solving
- Great collaboration skills
- The ability to apply methods to tackle business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration
- Efficient on using data to train models.
- Building and using models to automate processes like image classification, speech recognition, and market forecasting.
- Being engaged in end-to-end Data Ingestion → Data Transformation → Data Persistence → Performance Optimization process.
Minimum technical requirements:
- At least two years of experience with object-oriented languages (C# is strongly preferred, but could be Java/C++ as long as you are willing to learn C# in the near future)
- Python at an intermediate or higher level
- SQL Server, Azure Databricks or Spark or Machine Learning (commercial experience).
- Git
The following are important for us, any knowledge/experience would be a huge advantage:
- ETL/ELT (Azure Data Factory)
- Azure ML or TensorFlow,
- Azure Synapse Analytics, MLOps.
It would be additionally nice if you’ve also heard of:
- CosmosDB/MongoDB, Data Lake, Azure Streaming Analytics, Bot Framework
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