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Senior Data Engineer
celebrate companySenior Data Engineer developing and scaling the company's data platform for celebrate company, coordinating cross-departmental data projects with measurable business impact.
Tech Stack
Tools & technologiesAirflowAmazon RedshiftAWSSQL
About the role
Key responsibilities & impact- Coordinate and deliver cross-departmental data projects with business and technical stakeholders, from concept through to delivery, ensuring measurable business impact
- Own the maintenance and further development of the data platform, including introducing a data catalog and evaluating dbt as a replacement for existing legacy pipelines
- Design and implement complex, cross-functional data architectures and advanced data models that enable self-service analytics and data-driven decision making
- Coach and mentor junior and peer engineers to strengthen team capabilities and establish common standards within the Data Engineering team
Requirements
What you’ll need- Minimum of 5 years of hands-on Data Engineering experience, including stakeholder and project management in cross-functional environments
- Strong SQL skills and proven experience with AWS, Redshift (or a comparable columnar analytics database), and workflow orchestration tools such as Airflow or Dagster
- Fluent English required; German language skills are a plus
Benefits
Comp & perks- Flexible remote work, part-time options, modern hardware (MacBooks), and collaborative office spaces (flex desks)
- Agile ways of working, fair pay, and competency and leadership frameworks
- Nilo.health, corporate benefits, JobRad, workations, sabbaticals, 30 days paid vacation and a personal benefit of your choice: Wellpass, Hansefit or the DB Jobticket
- Internal training, coaching, regular feedback and growth processes, and flexible external learning opportunities
- Office breakfast and lunch, optional events, remote team-building, office dogs, and exclusive family & friends discounts
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data Architecture DesignAdvanced Data ModelsSelf-Service AnalyticsProject ManagementStakeholder Management
Soft Skills
CoachingMentoring