DevOps Engineer - Data (f/m/d)

TN Germany; München; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

Join a forward-thinking company as part of the Chapter Platform Engineering team, where you will enhance DevOps capabilities and deliver cloud automation for innovative energy solutions. This role involves implementing CI/CD practices, supporting BI tools, and ensuring data security across multiple cloud platforms. With a focus on automation and operationalizing analytical products, you will contribute to a dynamic environment that integrates various energy management devices. If you're passionate about technology and eager to make a meaningful impact in the energy sector, this opportunity is perfect for you.

Qualifikationen

• Several years of experience in building enterprise-grade CI/CD pipelines.
• Experience in building BI dashboards and monitoring agents for data quality.

Aufgaben

• Implement CI/CD and DevOps practices focusing on ETL pipelines.
• Support automation and maintenance of BI tools for data quality metrics.

Kenntnisse

GitLab CI/CD

Data Version Control

PowerBI

Google Looker Studio

Python

Data Security

Cloud Platforms (AWS, GCP, Azure)

Data Quality Metrics

Tools

GCP BigQuery

Databricks

Snowflake

Dask

Pandas

Python-Pytest

Python Behave

Jobbeschreibung

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Operationalize Analytical Products (i.e., B.

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Job Category:

Other

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EU work permit required:

Yes

Job Reference:

ce928461e513

Job Views:

1

Posted:

25.04.2025

Expiry Date:

09.06.2025

Job Description:

About the team

In this position, you will be part of our Chapter Platform Engineering. The chapter represents all experts who deliver DevOps capabilities to all our product teams. These experts are organized together to enhance those functional skillsets, improve E.ON’s DevOps tech stack and deliver a high level of cloud automation.

The products you will be working on belong to our team Digital Solutions I Future Energy Home. This team develops and operates software to manage home energy devices such as photovoltaic, inverters, batteries, EV charging wall boxes, heat pumps, and meters as a cloud-based solution for our central and local units so they can roll out those solutions to end-customers. We integrate with numerous vendors’ devices and apply centralized insights, analytics, and control mechanisms for these devices.

Meaningful & Challenging - Your tasks

1. Implement CI/CD and DevOps practices focusing on ETL pipelines for the Future Energy Home Data Team.
2. Support in automation and maintenance of BI tools like PowerBI and Google Looker Studio for data quality metrics via automated applications.
3. Assist data engineers in building and operationalizing data self-service infrastructure across multiple cloud platforms (e.g., AWS, GCP, Azure).
4. Ensure data security of deployed data products by implementing data access and anonymization methods (e.g., data masking, pseudonymization) in compliance with DPOs recommendations.
5. Operationalize analytical products (e.g., BI dashboards and Data Science ML models) and implement data quality metrics.

Authentic & Ambitious - Your profile

• Several years of experience in building enterprise-grade GitLab CI/CD pipelines, Data Version Control for Python data pipeline applications (ETL).
• Several years of experience in building BI dashboards and monitoring agents for PowerBI and Google Looker Studio (or similar tools).
• Profound experience in GCP BigQuery, Databricks (e.g., PySpark), Snowflake, Python Dask & Pandas, Python-Pytest, and Python Behave.
• First experience in implementing and using Attribute-Based Access Control (ABAC) tools such as Immuta, Segmentor, RBAC tools (e.g., Okta, AWS IAM, AWS Cognito) for democratized data access.
• Proven knowledge in AWS Cloud services like SageMaker, CloudFormation, CDK, Step Functions, CloudWatch, and deployment strategies like Blue-Green/Canary.
• Excellent communication skills and the ability to assist others and contribute to a “Community of Practice”.