SaasGroup

1 month ago

Lead Data Platform Engineer (German Speaker)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Hands-on technical leader responsible for owning INFOnline’s central, cloud-native data platform on GCP. You will scale, harden, and evolve data ingestion through reporting, drive AI-native engineering practices, set standards, mentor teammates, and partner with product and leadership to deliver reliable, scalable data capabilities for German/Austrian digital audience measurement.

Location: Europe

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Own the end-to-end data platform roadmap and drive its execution from architecture decisions to day-to-day platform operations
•Take accountability for data ingress, streaming processing, batch aggregation, data modeling, quality, delivery and reporting logic
•Ensure reliability, scalability and performance through strong monitoring, observability and incident management practices
•Continuously improve the new GCP-native platform with a focus on stability, cost efficiency, maintainability and business continuity
•Collaborate closely with Product, Customer Success and Leadership to translate business requirements into scalable technical solutions
•Drive AI-native engineering adoption, including AI-assisted coding, refactoring, testing, documentation and code reviews and establish standards for safe, effective use
•Work with external specialists where useful and establish sustainable internal ownership of all critical platform components

Pay and Benefits

Perks:Remote WorkLow Bureaucracy

Key Requirements

•5+ years of experience in Data Engineering, Data Platform Engineering, or Platform Engineering in production environments
•Solid Go (Golang) proficiency; core backend systems are written in Go
•Strong hands-on experience with GCP Cloud Run, Pub/Sub, BigQuery, Dataflow, Cloud Storage, Cloud SQL
•Strong SQL and analytical data modeling skills; familiarity with SQLMesh or similar dbt-style orchestration tools is a plus
•Practical experience with Terraform / IaC, CI/CD pipelines, and containerized workloads (Docker; serverless)

Experience:5+ yearsData engineeringData platformCloud

Skills:CommunicationLeadershipMentorshipProblem-solving

Languages:GermanEnglish

Tech Stack:GoGolangGCPCloud RunPub/SubBigQueryDataflowCloud StorageCloud SQLTerraformCI/CDDockerProtobufSQLMeshClaude CodeCodex

Company Brief

SaasGroup

Acquires, operates, and scales SaaS businesses by providing capital, operational support, and go-to-market expertise to grow recurring-revenue software companies globally.

Industry: Conglomerates & Holding Companies

Website

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SaasGroup

1 month ago

Lead Data Platform Engineer (German Speaker)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Europe

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Own the end-to-end data platform roadmap and drive its execution from architecture decisions to day-to-day platform operations
•Take accountability for data ingress, streaming processing, batch aggregation, data modeling, quality, delivery and reporting logic
•Ensure reliability, scalability and performance through strong monitoring, observability and incident management practices
•Continuously improve the new GCP-native platform with a focus on stability, cost efficiency, maintainability and business continuity
•Collaborate closely with Product, Customer Success and Leadership to translate business requirements into scalable technical solutions
•Drive AI-native engineering adoption, including AI-assisted coding, refactoring, testing, documentation and code reviews and establish standards for safe, effective use
•Work with external specialists where useful and establish sustainable internal ownership of all critical platform components

Pay and Benefits

Perks:Remote WorkLow Bureaucracy

Key Requirements

•5+ years of experience in Data Engineering, Data Platform Engineering, or Platform Engineering in production environments
•Solid Go (Golang) proficiency; core backend systems are written in Go
•Strong hands-on experience with GCP Cloud Run, Pub/Sub, BigQuery, Dataflow, Cloud Storage, Cloud SQL
•Strong SQL and analytical data modeling skills; familiarity with SQLMesh or similar dbt-style orchestration tools is a plus
•Practical experience with Terraform / IaC, CI/CD pipelines, and containerized workloads (Docker; serverless)

Experience:5+ yearsData engineeringData platformCloud

Skills:CommunicationLeadershipMentorshipProblem-solving

Languages:GermanEnglish

Tech Stack:GoGolangGCPCloud RunPub/SubBigQueryDataflowCloud StorageCloud SQLTerraformCI/CDDockerProtobufSQLMeshClaude CodeCodex

Company Brief

SaasGroup

Acquires, operates, and scales SaaS businesses by providing capital, operational support, and go-to-market expertise to grow recurring-revenue software companies globally.

Industry: Conglomerates & Holding Companies

Website