Data Engineer

Data

Pawia 21, Kraków

Avanade Poland

Undetermined

Permanent

Mid

Remote

3 348 - 5 301 USD

Gross per month - Permanent

Tech stack

Azure

advanced

one or more Azure Data and Analytics services

advanced

English

advanced

Azure Data Bricks

regular

SQL Server

regular

OOP

regular

C#

regular

Python

regular

Machine Learning

nice to have

Spark

nice to have

Job description

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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.

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: