Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
EY

Data Engineer

EY

. Build data solutions enabling clients and business partners to make efficient decisions .

Posted 11/6/2026full-timeKatowice • PolandJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Engineering, focusing on building data solutions and pipelines using cloud technologies. Proficient in SQL, Python, and modern data warehousing solutions to solve complex business problems.

Highest-signal resume keywords
Data Engineering ExperienceBig Data ProficiencyCloud Solutions ExpertiseData Pipeline DevelopmentAgile Methodologies Familiarity

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLPythonData Pipeline DevelopmentData ModelingDistributed Data ProcessingData WarehousingData LakesAnalytical SkillsProblem-Solving SkillsVersion Control
Soft Skills
CollaborationCross-Functional CommunicationAnalytical Thinking
Tools & Technologies
DatabricksMS FabricSnowflakeAzureAWSGCP
Industry Keywords
Cloud ProvidersAgile MethodologiesScrumKanban

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonSnowflakeSQL

About the role

Key responsibilities & impact
  • Build data solutions enabling clients and business partners to make efficient decisions
  • Design robust solutions using compute engines such as Databricks
  • Design modern data warehousing solutions such as MS Fabric or Snowflake
  • Solve complex business problems at large scale
  • Participate in cross-functional initiatives and collaborate across various domains
  • Interact with engineers, product/project managers and partners worldwide
  • Work on international projects based on major cloud providers

Requirements

What you’ll need
  • 2 years of experience in Data Engineering area
  • 1 year of experience in Big Data
  • Familiarity with SQL and/or Python
  • Hands-on experience in cloud solutions such as Azure, AWS or GCP
  • Understanding of databases, data warehouses and data lakes
  • Strong background in building data pipelines, distributed data processing, software engineering components and data modeling concepts
  • Demonstrated analytical and problem-solving skills applicable to big data environments
  • Experience with a version control system
  • Experience using Agile methodologies such as Scrum or Kanban

Benefits

Comp & perks
  • 2 days in office / 3 days remote
  • Continuous learning and skills development
  • Tools and flexibility to make a meaningful impact
  • Insights, coaching and confidence-building leadership support
  • Diverse and inclusive culture
  • Opportunity to work on international projects with global teams
  • Opportunity to work with well-known brands across the globe