Data Engineering Career Path

Junior Data Engineering

Junior Data Engineer

Salary Range:

8000

-

14000

PLN

+ Top Performers Bonus

+ Bonuses

Salary Range:

1700

-

2900

EUR

+ Top Performers Bonus

+ Bonuses

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)

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Data Engineering

Data Engineer

Salary Range:

11000

-

19000

PLN

+ Top Performers Bonus

+ Bonuses

Salary Range:

2300

-

4000

EUR

+ Top Performers Bonus

+ Bonuses

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

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Senior Data Engineering

Senior Data Engineer

Salary Range:

19000

-

29000

PLN

+ Top Performers Bonus

+ Bonuses

Salary Range:

4000

-

6100

EUR

+ Top Performers Bonus

+ Bonuses

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

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Expert Data Engineering

Expert Data Engineer

Salary Range:

25000

-

35000

PLN

+ Top Performers Bonus

+ Bonuses

Salary Range:

5300

-

7400

EUR

+ Top Performers Bonus

+ Bonuses

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

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Discover our services

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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

Junior Data Engineering

Junior Data Engineer

Salary Range:

8000

-

14000

PLN

Salary Range:

1700

-

2900

EUR

Estimated Duration: 2 years

Data Engineering

Data Engineer

Salary Range:

11000

-

19000

PLN

Salary Range:

2300

-

4000

EUR

Estimated Duration: 4 years

Senior Data Engineering

Senior Data Engineer

Salary Range:

19000

-

29000

PLN

Salary Range:

4000

-

6100

EUR

Estimated Duration: 4 years

Expert Data Engineering

Expert Data Engineer

Salary Range:

25000

-

35000

PLN

Salary Range:

5300

-

7400

EUR

Estimated Duration:

Discover our services

Related Job Openings

Account Manager

Business Analyst (available to work in ET hours)

Business Development Manager

Delivery Team Coordinator

DevOps / SRE Engineer

DevOps Engineer

Didn't find the best job opening for you? Apply to our open application!

Microsoft AI Security Engineer

Microsoft Azure Cloud Solutions Architect

Senior Business Development Manager

Senior Java (Kotlin) Developer

Senior Java (Kotlin) Developer (available to work in ET hours)

Senior Test Automation Engineer

VoIP Infrastructure Engineer

Didn't find the best job opening for you? Apply to our open application!

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

Contributions To The Team & Organization

English & Other Relevant Languages Proficiency