Senior Data Engineer - Flexibility (all genders)

gridX GmbH
Aachen, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Aachen, Germany

Tech stack

Clean Code Principles
Amazon Web Services (AWS)
Cloud Computing
Computer Programming
Databases
Database Queries
Python
Data Processing
Grafana
Reliability of Systems
Pandas
Kubernetes
Machine Learning Operations
Vertica
Terraform
Data Pipelines

Requirements

  • Production-Grade Track Record: You have hands-on experience working on real-world projects with a proven history of delivering robust data solutions into production.
  • Focus on Stabilization: You take full ownership of system reliability, actively monitoring and stabilizing workflows to ensure continuous, high-quality operations.
  • Time-Series Expertise: You are comfortable working with large-scale time-series data and deeply understand the unique structural and processing challenges it presents.

Technical Skills & Core Stack

  • Programming & Data Wrangling: You have solid experience writing clean, maintainable code for complex data manipulation and transformation tasks. While our forecasting ecosystem relies on Python, Polars, and Pandas, at gridX, our main programming language is Go. Strong proficiency in equivalent languages or data wrangling frameworks is highly welcome.
  • Database Mastery: You command strong SQL skills. We rely heavily on ClickHouse, experience here is a highly valued asset.
  • Cloud & Infrastructure: You have practical experience provisioning and managing scalable infrastructure using AWS, Kubernetes, and Terraform.

MLOps & Orchestration

  • Workflow Management: You are experienced in building and orchestrating complex data pipelines and ML workflows. We utilize Metaflow, Argo, and MLflow, but practical experience with any comparable orchestration and model lifecycle tools is fully transferable.
  • Rigorous Validation: You thoroughly test, validate, and benchmark models and data products prior to deploying them into live environments.
  • Observability: You maintain clear visibility over production systems and possess practical experience setting up metrics and alerting dashboards using Grafana.

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