DevOps Engineer - Data (f/m/d)

Operationalize Analytical Products (i.e. B.; Frankfurt; Vor Ort; EUR 60.000 - 85.000; Vollzeit

Zusammenfassung

A leading company in digital solutions is looking for a DevOps Engineer specializing in data to enhance their cloud automation and analytics capabilities. The role involves implementing CI/CD strategies, ensuring data quality, and operationalizing analytical products. Candidates should have several years of experience with ETL pipelines, BI tools, and cloud platforms.

Qualifikationen

• Several years of experience in enterprise-grade GitLab CI/CD.
• Experience with BI dashboards.
• Proven knowledge in AWS Cloud services.

Aufgaben

• Implement CI/CD and DevOps practices focusing on ETL pipelines.
• Support automation and maintenance of BI tools.
• Assist data engineers in building self-service data infrastructure.

Kenntnisse

ETL Pipelines

Automation

Data Security

Communication

Tools

PowerBI

Google Looker Studio

GCP BigQuery

Databricks

Python

AWS Cloud Services

Jobbeschreibung

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DevOps Engineer - Data (f/m/d), Frankfurt am Main

Client:

Operationalize Analytical Products (i.e., B2B, B2C, etc.)

Location:

Job Category:

Other

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EU work permit required:

Yes

Job Reference:

39c4a97e08f8

Job Views:

5

Posted:

21.06.2025

Expiry Date:

05.08.2025

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 | Future Energy Home. This team develops and operates software to manage home energy devices such as photovoltaic systems, inverters, batteries, EV charging stations, heat pumps, and meters as a cloud-based solution for our central and local units, enabling rollout to end-customers. We integrate with numerous vendors’ devices and apply centralized insights, analytics, and control mechanisms.

Meaningful & challenging - Your tasks

• Implementing CI/CD and DevOps practices focusing on ETL pipelines.
• Supporting automation and maintenance of BI tools like PowerBI and Google Looker Studio to ensure data quality metrics through automated applications.
• Assisting data engineers in building and operationalizing self-service data infrastructure across multiple cloud platforms (e.g., AWS, GCP, Azure).
• Ensuring data security of deployed products by implementing data access and anonymization methods (e.g., data masking, pseudonymization) in compliance with DPO recommendations.
• Operationalizing analytical products (e.g., dashboards and ML models) and implementing data quality metrics.

Authentic & ambitious - Your profile

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