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!

Piotr Walkowiak

Data Competence Leader

Competence Leaders 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!
I have over 10 years of experience in data-related areas. Starting as a BI Developer working on Microsoft Stack-based data warehouses, now I am focusing on Azure Cloud Data services and Power BI as a Data Architect.

I am also interested in Team & Project Management using Azure DevOps and the Scrum framework.

I can help with all data-related topics like design, optimization, quality, or performance issues - especially when using Microsoft technologies.

Junior Data Engineering

Junior Data Engineer

Salary Range: 
8000
 - 
14000
 PLN
Salary Range: 
1700
 - 
2900
 EUR
See how we calculate salaries.
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)
View All Open Jobs

Data Engineering

Data Engineer

Salary Range: 
11000
 - 
19000
 PLN
Salary Range: 
2300
 - 
4000
 EUR
See how we calculate salaries.
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
View All Open Jobs

Senior Data Engineering

Senior Data Engineer

Salary Range: 
19000
 - 
29000
 PLN
Salary Range: 
4000
 - 
6100
 EUR
See how we calculate salaries.
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
View All Open Jobs

Expert Data Engineering

Expert Data Engineer

Salary Range: 
25000
 - 
35000
 PLN
Salary Range: 
5300
 - 
7400
 EUR
See how we calculate salaries.
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
View All Open Jobs

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Assessments & Pay Scales

We're constantly and regularly evaluating our processes and each of our team members to make sure they're fairly remunerated. Check out the core elements of our evaluation process below.

Level Of Experience & Merit

Tools, skills, and certifications necessary for this position
Assessment done regularly and periodically to stay up to date

Contributions To The Team & Organization

Teamwork & willingness to help
Outstanding initiative-taking including knowledge seeking & helping others

English & Other Relevant Languages Proficiency

English is essential as our main comminucation language with clients
Other languages are helpful in roles like sales & recruitment

Versatility & Additional Knowledge

Knowledge of working with additional technologies than those in core stack
Ability to work in different and diverse work environments

Long Term Collaborative Approach To Work

Great relationship with clients & deep domain knowledge
In-depth understanding of the culture & best practices at ITMAGINATION
We're Agile and use Scrum

Flexibility & Oppenness To New Experiences

Ability to take on new challenges in unfamiliar fields
Openness to take on diverse projects and learn new technologies on the go
Check Out all our job Openings
Our Partners & Certifications
Microsoft Gold Partner Certification 2021 for ITMAGINATION
ITMAGINATION Google Cloud Partner
AWS Partner Network ITMAGINATION
ISO 9001 ITMAGINATIONISO-IEC 27001:2013 ITMAGINATION
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