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dentsu Austria

Data Engineer

dentsu Austria

. Design, build, and operate cloud-based software and data solutions powering dentsu's marketing products .

Posted 10/5/2026full-timeRemote • Maryland • United StatesJuniorMid-Level💰 $68,000 - $90,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in cloud-based software and data solutions, with strong skills in SQL, Python programming, and Agile methodologies. Proficient in translating business requirements into technical designs and implementing data processing components while ensuring application performance and security.

Highest-signal resume keywords
Cloud-Based ApplicationsSQL ProficiencyPython ProgrammingAgile MethodologiesData Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software Development LifecycleData ModelingAutomated TestingAPIs DevelopmentAlgorithms OptimizationDebuggingData StructuresUnit TestingIntegration TestingCI/CD Practices
Soft Skills
Excellent Communication SkillsCollaborationProblem-Solving
Tools & Technologies
SnowflakeAWSGCPAzureJIRAGitAirflowAI Coding AssistantsUnix/Linux Command Line
Certifications & Qualifications
Bachelor's Degree in Computer ScienceEngineeringInformation Systems
Industry Keywords
Data QualityIdentity MatchingEvent-Driven ProcessingPII Data HandlingCloud-Native Security

Tech Stack

Tools & technologies
AirflowAWSAzureCloudGoogle Cloud PlatformLinuxPythonSQLUnix

About the role

Key responsibilities & impact
  • Design, build, and operate cloud-based software and data solutions powering dentsu's marketing products
  • Collaborate with product and client solution teams to translate business needs into application logic, services, identity capabilities, and data products
  • Use Agile practices and AI coding assistants to deliver secure, tested, reviewed, and documented software and data capabilities
  • Translate requirements into technical designs, testable modules, and reusable components
  • Research business domains, source data, system relationships, and attributes; improve data quality and lineage
  • Apply software development lifecycle practices including solution design, implementation, automated testing, code review, observability, and CI/CD
  • Design and implement business logic, APIs, services, integrations, and data-processing components
  • Build unit, integration, and data-quality tests
  • Develop and optimize algorithms and application logic for identity matching, decisioning, and validation
  • Improve application performance, reliability, and cost; diagnose defects across code, services, data stores, and distributed workflows
  • Troubleshoot production issues and communicate status, risks, and timelines to stakeholders
  • Gather requirements and produce technical documentation
  • Participate in knowledge sharing, code reviews, and Agile meetings

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience
  • 2+ years of experience with increasing responsibility in software and/or data engineering roles
  • Solid SQL skills and familiarity with relational and non-relational data modeling
  • Strong proficiency in at least one programming language, Python preferred
  • Experience with cloud-based applications, databases, and data warehouses, Snowflake preferred
  • Hands-on experience with modern AI coding assistants and agent-based tools, used securely with appropriate validation and review
  • Knowledge of Agile delivery, Git-based source control, CI/CD, automated testing, and issue tracking tools such as JIRA
  • Excellent written and verbal communication skills
  • Understanding of cloud platforms and cloud-native security and operations, AWS preferred; GCP or Azure acceptable
  • Familiarity with workflow orchestration or event-driven processing; Airflow and Snowflake streams/tasks are a plus
  • Strong understanding of data structures, algorithms, software design, debugging, and distributed-system fundamentals
  • Basic Unix/Linux command line skills
  • Experience working with PII data is a plus
  • Ability to work flexibly to meet company and client needs, including possible office attendance

Benefits

Comp & perks
  • Medical, vision, and dental insurance
  • Life insurance
  • Short-term and long-term disability insurance
  • 401k
  • Flexible paid time off
  • At least 15 paid holidays per year
  • Paid sick and safe leave
  • Paid parental leave
  • Applicable state and local employee leave benefits