DSV-Gruppe

Data Engineer

DSV-Gruppe

full-time

Posted on:

Location Type: Hybrid

Location: BerlinGermany

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About the role

  • Further develop the cloud-based data platform for Business Intelligence, Digital Analytics, Marketing Controlling and Data Science
  • Design, implement and ensure the stable operation of complex data pipelines and ETL/ELT processes
  • Technically integrate new data sources and implement robust mechanisms for data quality and monitoring
  • Implement requirements from analytics and business teams in a performant and scalable manner
  • Evaluate technology options, develop prototypes and support architecture decisions with sound technical input
  • Work independently on prototype projects to implement technology decisions
  • Collaborate across teams with analysts, developers and other stakeholders

Requirements

  • Degree in Computer Science (or equivalent) and proven experience in a comparable position
  • Familiar with modern, agile and object-oriented software development in Python, and comfortable with both object-oriented and functional programming paradigms
  • Experienced in modeling data structures and developing scalable ETL/ELT processes
  • Ideally proficient in SQL and modern database systems (e.g., Exasol, Google BigQuery)
  • Experienced with cloud environments such as Google Cloud Platform or Azure (e.g., Azure Synapse)
  • Preferably familiar with workflow and pipeline orchestration (e.g., Apache Airflow)
  • Able to clearly justify technical decisions, share knowledge and advance the technical quality of the team
  • Curious, proactive and willing to quickly learn new technologies
Benefits
  • High impact: our products are available to over 50 million Sparkassen customers
  • A modern workplace at one of our locations
  • Attractive options for mobile working
  • Flexible working hours in full-time (39 hours) or part-time
  • Competitive compensation, employer savings/retirement contributions (VWL) and various employee discounts
  • Subsidy for a job ticket (public transport)
  • 30 days of vacation plus 2 bank holidays (24/12 and 31/12)
  • Extensive training and development opportunities
  • An inspiring working atmosphere, a casual dress code and friendly colleagues
  • A trusting work environment in a warm team with flat hierarchies

Applicant Tracking System Keywords

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

Hard skills
PythonETLELTSQLdata modelingdata pipelinescloud environmentsdata qualitydata monitoringobject-oriented programming
Soft skills
collaborationindependencetechnical justificationknowledge sharingproactivitycuriositycommunication
Certifications
Degree in Computer Science