CAREER Path

Data Engineering

Data Engineers are responsible for designing and developing data gathering processes, data models, and data visualizations according to business needs.
In addition to determining and analyzing prerequisites for reporting systems, their responsibilities include support and continuous development.

Check out our career path and how your journey at ITMAGINATION will look like below!

s at ITMAGINATION lead the specific area in which they are responsible for and help with mentoring, skills assessment & training, shaping our team members' career paths, and more!
Learn more about your career at ITMAGINATION!

Junior Data Engineering

Junior Data Engineer

Salary: 
8000
 - 
14000
 PLN
Estimated Duration: 2 years
SQL (T-SQL, PL-SQL, MySQL etc.)
Data Integration tools (e.g. SSIS, ODI, Azure Databricks, Azure Data Factory, Informatica PowerCenter)
Reporting tools (e.g. Power BI, Tableau, SSRS)
GIT & CI/CD pipelines & Data administration tools (e.g. AzureDevOps, SQL Managemenet Studio, Visual Studio, Data Tools)

Requirements:

  • Solid basics in math, algorithms and one programming language
  • Occasional need for support in delivering technical tasks
  • Perspective to become a self driven specialist in no more than two years
  • Effectively looking up information to solve problems
  • Ablity to read and write documentation
  • Basic SQL scripts

Nice-to-have:

  • Certificates such as Azure Fundamentals, Azure Data Fundamentals or AWS Cloud Practitioner
  • Basic knowledge of cloud services (Azure, AWS, GCP)
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Data Engineering

Data Engineer

Salary Range: 
11000
 - 
19000
 PLN
Estimated Duration: 4 years
SQL (T-SQL, PL-SQL, MySQL etc.)
Data warehousing, Data modeling
Tabulars/OLAP Cubes (e.g. DAX/MDX)
Data Integration tools (e.g. SSIS, ODI, Azure Databricks, Azure Data Factory, Informatica PowerCenter)
Reporting tools (e.g. Power BI, Tableau, SSRS)
Data cloud services (e.g. Azure Data Lake, Azure Synapse, Snowflake, AirFlow, EMR, RDS, Redshift, Kinesis, Apache Spark)
Data processing languages (e.g. Scala, Python, .NET C#, Java, R)
Agile methodologies and coding standards (e.g. Scrum, Kanban, Code reviews, Testing)
GIT & CI/CD pipelines & Data administration tools (e.g. AzureDevOps, SQL Managemenet Studio, Visual Studio, Data Tools)

Requirements:

  • Knowledge and adherence to coding and data architecture guidelines
  • Ability to take responsibility for individual tasks
  • Ability to solve problems individually
  • Readiness to propose solutions for averagely complicated tasks
  • Experience implementing, developing, or maintaining either Data Warehouse, Business Intelligence, or Big Data systems
  • Advanced knowledge of at least one scripting language (eg. SQL, DAX, MDX, Python)
  • Can optimize slow dashboards/queries

Nice-to-have:

  • Experience with one of data cloud solution
  • Conceptual logical and physical data models
  • Ability to define develpoment process standards, principles and methods
  • Certificates such as Azure Data Engineer Associate (DP-203), Administering Relational Databases on Microsoft Azure (DP-300), Azure Enterprise Data Analyst Associate (DP-500), Power BI Data Analyst Associate (PL-300), AWS Certified Database – Specialty, AWS Certified Data Analytics – Specialty
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Senior Data Engineering

Senior Data Engineer

Salary Range: 
19000
 - 
29000
 PLN
Estimated Duration: 4 years
SQL (T-SQL, PL-SQL, MySQL etc.)
Data warehousing, Data modeling
Tabulars/OLAP Cubes (e.g. DAX/MDX)
Data Integration tools (e.g. SSIS, ODI, Azure Databricks, Azure Data Factory, Informatica PowerCenter)
Reporting tools (e.g. Power BI, Tableau, SSRS)
Data cloud services (e.g. Azure Data Lake, Azure Synapse, Snowflake, AirFlow, EMR, RDS, Redshift, Kinesis, Apache Spark)
Data processing languages (e.g. Scala, Python, .NET C#, Java, R)
Agile methodologies and coding standards (e.g. Scrum, Kanban, Code reviews, Testing)
GIT & CI/CD pipelines & Data administration tools (e.g. AzureDevOps, SQL Managemenet Studio, Visual Studio, Data Tools)

Requirements:

  • Expert knowledge of data engineering and data quality
  • Readiness to take responsibility for bigger chunks of large-scale projects or full responsibility over small projects
  • Willingness to help less experienced colleagues
  • Maturity and openness to different perspectives
  • Ability to choose appropriate components and bootstrap the project
  • Ability to verify candidates in the hiring process
  • Proactively suggest new improvements and visualization techniques to business users
  • Competence to create conceptual logical and physical data models and defining standards, principles, and methods to guide the development
  • Ability to create efficient data solutions in the cloud
  • Experience designing and executing data migration processes

Nice-to-have:

  • Experience with cloud solutions for Big Data (Snowflake, GCP BigQuery, AWS Redshift)
  • Experience supporting Data Scientists (Machine Learning)
  • Organizational and technical experience in corporate data management (Data Governance)
  • Ability to write own plugins or display elements
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Expert Data Engineering

Expert Data Engineer

Salary Range: 
25000
 - 
35000
 PLN
Estimated Duration:
SQL (T-SQL, PL-SQL, MySQL etc.)
Data warehousing, Data modeling
Tabulars/OLAP Cubes (e.g. DAX/MDX)
Data Integration tools (e.g. SSIS, ODI, Azure Databricks, Azure Data Factory, Informatica PowerCenter)
Reporting tools (e.g. Power BI, Tableau, SSRS)
Data cloud services (e.g. Azure Data Lake, Azure Synapse, Snowflake, AirFlow, EMR, RDS, Redshift, Kinesis, Apache Spark)
Data processing languages (e.g. Scala, Python, .NET C#, Java, R)
Agile methodologies and coding standards (e.g. Scrum, Kanban, Code reviews, Testing)
GIT & CI/CD pipelines & Data administration tools (e.g. AzureDevOps, SQL Managemenet Studio, Visual Studio, Data Tools)

Requirements:

  • Organizational and technical experience in corporate data management (Data Governance)
  • Readiness to take full technical responsibility for the project
  • Ability to coach and mentor people
  • Ability to represent ITMAGINATION in discussions with client representatives
  • Experience defining and executing rules governing the project
  • Structuring the technology recruitment verification process
  • Understanding of at least one extra technical competence
  • Ability to compare different data tools available (performance, cost, etc.)
  • Ability to design and deliver an entire cloud-based solution

Nice-to-have:

  • Experience with cloud solutions for Big Data and Data Science
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