Data Platform Engineer - Remote, Climate Tech Impact

1Komma5Grad

United States

Remote

USD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Remote work Germany-wide
Offices in Hamburg, Berlin, Munich
Wellbeing benefits via EGYM Wellpass
Futurebens discounts
Bike leasing

Job summary

1KOMMA5° is building the data platform that underpins our energy tech stack. As a Data Platform Engineer, you will architect, develop, and maintain scalable data ingestion, transformation, storage, and delivery pipelines to empower analytics and product teams.

Collaborate with cross-functional groups to understand data needs, apply best practices in data governance, and leverage GCP, Python, SQL, Looker, and BI tooling to turn raw data into reliable, decision-ready insights for our mission to

Qualifications

  • 2+ years in a data engineering role.
  • Strong understanding of data concepts at scale: ingestion, transformation, modeling.
  • Experience with data governance, catalogs, IAM, and metadata management.
  • Experience with Python, SQL, and Terraform (HCL).
  • Extensive experience with Google Cloud Platform and data services.
  • Experience with BI tools and integrating them with modern data setups.
  • Strong English skills; German is a plus.

Responsibilities

  • Architect, develop, and manage the data platform to support efficient data ingestion, transformation, quality assurance, monitoring, and accessibility.
  • Collaborate closely with cross-functional teams to understand data needs.

Skills

Data engineering
Python
SQL
GCP
Data governance
Data modeling
ETL/ELT
Looker
IAM

Tools

Google Cloud Platform (GCP)
BigQuery
Pub/Sub
Dataform
Terraform
Terramate
GitHub Actions
Python
SQL
Looker

Job description

1KOMMA5° is building the data platform that underpins our energy tech stack. As a Data Platform Engineer, you will architect, develop, and maintain scalable data ingestion, transformation, storage, and delivery pipelines to empower analytics and product teams.

Collaborate with cross-functional groups to understand data needs, apply best practices in data governance, and leverage GCP, Python, SQL, Looker, and BI tooling to turn raw data into reliable, decision-ready insights for our mission to

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