Senior Data Engineer

data = information = knowledge = power

14 000 - 23 000
gross / month (Employment contract)

Online interview
Employment contract
Grunwaldzka 411, Gdańsk
Remote possible

Project description

As a Data Engineer, you will work as a member of the Data Engineering team to ensure the highest quality data is made available for swift analysis and BI report generation. You will help to architect and further develop the data processing pipeline. You should have extensive experience in the creation, development, and business usage of extremely large data sets. You should be eager to work with massive data sets, someone who loves to bring data sets together to answer business questions, drive change, and deliver answers.

Part of your responsibilities will be building reliable and scalable tools. On a typical day, while working closely with analysts and managers, you will improve the data processing and modeling pipeline by providing high-quality designs and structures to feed our self-service platform. As a member of the Data Engineering team, you will be at the center of Dynatrace product innovation. In addition, you will help to improve the speed of ingesting data into our data lake, find ways to make our data pipeline more efficient, or even come up with ideas to encourage self-serve data engineering within the company. This is an exciting opportunity to make a direct, tangible impact on our product and work on our crucial Digital Business Platform.

You will spend a lot of time identifying ways to make our platform better, working with various data, and transforming that data into solid solutions that make business decisions easier. You will help to provide value by enabling better self-serve for our customers and improving their time to reliable insights. We guarantee plenty of challenges and scope to grow. 

Your tasks


  • Develop new capabilities in our data warehouses and pipelines in most complex data environments
  • Apply data modeling techniques to organize and transform data into meaningful and valuable output
  • Coordinate with key stakeholders (including BI expert, analytics team, and product management) to deliver and optimize data sources to address specified business requirements
  • Analyze and model data and metadata to support ad-hoc and pre-built reporting
  • Improve the reliability, flexibility, and scalability of our existing tools
  • Engage in processes ensuring the highest security standards in controlling data access
  • Improve existing patterns and frameworks for quickly aggregating millions of raw data records into actionable metrics

Who we're looking for?

Desired skills & experience

  • At least 3 years professional experience as a software engineer or data engineer
  • Advanced SQL knowledge, including data structure optimization and fast data retrieval from data warehouses such as Snowflake and AWS Redshift
  • Strong work experience in data warehousing and business intelligence in an enterprise setting
  • Experience in building reliable, performant streaming and batch processing data pipelines
  • Knowledge of modern, cloud-based data pipeline best practices
  • Expertise in data analysis
  • Experience and willingness to work in a fast-moving, agile environment
  • Strong communication skills, both written and verbal
  • Team player

Welcome additional skills

  • Experience with Java
  • Experience with cloud platforms (AWS/Azure)
  • Experience in enabling an organization to become highly data-driven
  • Experience in building and running continuous integration pipelines

Big Data
How we manage our projects?
Who makes architectural decisions?
Who makes technology stack decisions?
Project management software
How we test?
Test automation
Additional monitor
Operating system
Work environment
Separate rooms
Flexible working hours
  • Healthcare package
  • Healthcare package for families
Leisure package
  • Leisure package
  • Basen
  • Sala Sportowa
  • Equity
  • Cold beverages
  • Hot beverages
  • Snacks
  • Fruits
  • Conferences
  • Trainings
  • Books
  • Car parking
  • Bicycle parking
Relocation package
  • Adaptation tips
  • Language courses
  • Temporary housing
  • Help finding an apartment
  • Visa Services
  • Money for moving expenses
  • Flight ticket
  • Integration events
  • Shower

Our company


Gdańsk 800+
Tech skills
  • Java
  • C++
  • Angular
  • Python

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