Data Platform Engineer - Remote & AI-ready Pipelines

ANGEHEUERT GmbH; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible remote work

Workation up to 4 weeks in the EU

Occupational pension with 50% employer

Training opportunities

International environment with English

Job summary

ANGEHEUERT GmbH is seeking a Data Engineer to build and own a ground-up data platform, including Databricks workspaces, jobs, and data pipelines for banking-related data sources.

You will design Data Lake/Lakehouse architectures, implement automated data quality checks, and collaborate with Architecture, Platform, Risk, and Compliance teams while enjoying flexible remote work and opportunities for training.

Qualifications

• Databricks, SQL and modern ETL/ELT patterns knowledge.
• Experience with Data Lake/Lakehouse architectures and data modelling.
• Cloud infrastructure as code experience in Azure or AWS.

Responsibilities

• Take ownership of operating and further developing the Databricks-based data platform, including workspaces, jobs, and permissions.
• Develop robust ETL/ELT pipelines for diverse data sources (banking, treasury, payments, export finance).
• Design Data Lake/Lakehouse architectures and scalable data models.
• Implement automated data quality checks ensuring completeness, timeliness, and consistency.
• Build monitoring and alerting for pipelines, jobs, latency, and errors.
• Document data flows, lineage, and data governance requirements.
• Provide data and interfaces for AI use cases and MLOps.
• Collaborate with Architecture, Platform, Risk, and Compliance teams.

Skills

Databricks

SQL

ETL/ELT patterns

English proficiency (C1)

Education

Bachelor's degree in Computer Science / Data Engineering / Business Informatics or equivalent

Tools

Power BI

Azure

AWS

Job description

ANGEHEUERT GmbH is seeking a Data Engineer to build and own a ground-up data platform, including Databricks workspaces, jobs, and data pipelines for banking-related data sources.

You will design Data Lake/Lakehouse architectures, implement automated data quality checks, and collaborate with Architecture, Platform, Risk, and Compliance teams while enjoying flexible remote work and opportunities for training.