Sr. Data Engineer at Ameren

Europe

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Energy, Utilities, AI, ForecastingIndustries

Requirements

Senior-level expertise in backend services and data engineering using Python
Hands-on experience with cloud infrastructure (Kubernetes/Docker) and data services (GCP, AWS, or Azure)
Proven track record building production data pipelines and backend services with measurable business impact
Experience working in large codebases with focus on refactoring and systematic improvements
Background building scalable data monitoring and observability systems
Thrive in complexity and find satisfaction in simplifying systems
Make software more maintainable, scalable, and extensible
Collaborate effectively while also driving independent projects to completion
Leverage AI-augmented development tools to increase productivity
Ideal background as Senior Software Engineer with data-intensive systems experience, Senior Backend Engineer with pipeline development expertise, or Senior ML Engineer with production infrastructure experience

Responsibilities

Automate end-to-end ML operations — Build and maintain pipelines covering data collection, preprocessing, model training, and deployment
Optimize system performance — Monitor, profile, and enhance data processing workflows to reduce latency and improve efficiency
Implement robust monitoring — Set up real-time alerts and anomaly detection for critical data feeds
Scale infrastructure — Leverage distributed computing and parallel processing to handle growing data volumes
Drive architectural improvements — Identify and rebuild systems for better performance, maintainability, and cost efficiency
Design for the future — Build data infrastructure that scales seamlessly with business growth

Skills

Key technologies and capabilities for this role

PythonAzureKubernetesMySQLClickHouseSnowflakeDockerArgo WorkflowsTerraformPrometheusGrafanaML pipelinesdata processingMLOpsmonitoring

Questions & Answers

Common questions about this position

What is the salary or compensation for this Senior Data Engineer role?

This information is not specified in the job description.

Is this Senior Data Engineer position remote or does it require office work?

This information is not specified in the job description.

What skills are required for the Senior Data Engineer role?

Required skills include senior-level expertise in backend services and data engineering using Python, hands-on experience with cloud infrastructure like Kubernetes/Docker and data services such as GCP, AWS, or Azure, and a proven track record building production data pipelines and backend services.

What is the tech stack used in this role?

The tech stack includes Python, Azure, Kubernetes, MySQL, ClickHouse, Snowflake, Docker, Argo Workflows, Terraform, Prometheus, and Grafana.

What makes a candidate successful for this Senior Data Engineer position?

Successful candidates have experience working in large codebases with a focus on refactoring and systematic improvements, plus a background in building scalable data monitoring and observability systems, along with the core technical expertise in Python data engineering and cloud infrastructure.