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Data Engineer (all genders ) Matchmaking

Parship

Dresden · On-site 1mo ago

About the role

What you bring

  • Completed studies in computer science (or business informatics) or a comparable IT-focused education, plus professional experience in data engineering or an analytics environment.
  • Experience in developing and operating data processes on cloud-based data platforms – ideally with a focus on business insights or AI/ML use cases.
  • Solid knowledge in multidimensional data modeling and processing with SQL, as well as data processing with Python.
  • You enjoy working in a team, think analytically, and continuously develop your technical skills – and share your knowledge with others.
  • You have very good English skills to navigate our international environment confidently.

What you ideally also bring

  • Experience with technologies such as Snowflake, AWS, GitLab, Airflow, dbt, and Iceberg Tables.
  • Know-how in CI/CD pipelines and Infrastructure as Code (IaC).
  • Familiarity with semantic data modeling and the use of modern AI-powered talk-to-your-data tools like AskSigma and Snowflake Intelligence for generating AI-powered insights.
  • German language skills are a plus.

What awaits you

  • You operate robust ETL/ELT workflows on Snowflake (e.g. with Airflow) from ingest to the data mart layer.
  • You model & transform performant SQL/Python jobs and dbt models (tests, docs, deploy) for scalable, maintainable data products.
  • Ensure data quality & governance: validations, monitoring/alerting, lineage/catalog, security/RBAC, and compliance in daily operations.
  • Deliver semantic models and data views that reliably supply BI (Sigma) as well as AI/ML use cases in matchmaking (Parship, ElitePartner, eharmony).
  • Automation & Operations: Utilize orchestration, CI/CD (GitLab), IaC; optimize costs/performance and professionally manage incidents/root cause analyses.

At ParshipMeet Group, we support millions of people worldwide in meeting, dating, and falling in love. We want our teams to be as diverse as our customers. New colleagues enrich us with new perspectives. This is an essential success factor for us. Therefore, we do not judge anyone by age, gender, family background, skin color, religious beliefs, or sexual orientation. For us, you as a person with your abilities are the focus!

Skills

AirflowAWSdbtGitLabIceberg TablesInfrastructure as CodePythonSQLSnowflake

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