DevOps Engineer - Data (f/m/d)

Operationalize Analytical Products (i.e. B.; Hamburg; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Une entreprise innovante dans le secteur de l'énergie recherche un expert DevOps pour optimiser leurs pratiques et outils. Vous serez chargé(e) de mettre en œuvre CI/CD et DevOps, en vous concentrant sur l'automatisation et la maintenance des outils BI. Le poste nécessite une solide expérience en infrastructures cloud et en gestion des données, dans un environnement collaboratif.

Qualifikationen

• Plusieurs années d'expérience en pipelines CI/CD et en applications de pipeline de données Python (ETL).
• Expérience dans la construction de tableaux de bord BI et d'agents de surveillance.
• Connaissances approfondies en GCP, Databricks, Python et AWS Cloud.

Aufgaben

• Implémenter des pratiques CI/CD et DevOps pour l'équipe de données.
• Automatiser la maintenance des outils BI pour les métriques de qualité des données.
• Assurer la sécurité des données des produits déployés.

Kenntnisse

CI/CD

Data Version Control

DevOps practices

Data security

Collaboration

Tools

PowerBI

Google Looker Studio

AWS

GCP

Databricks

Snowflake

Jobbeschreibung

Social network you want to login/join with:

Operationalize Analytical Products (i.e., B.

Location:

Hamburg, Germany

Job Category:

Other

-

EU work permit required:

Yes

Job Reference:

922e75dddc1f

Job Views:

4

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 our product teams. These experts are organized to enhance functional skillsets, improve E.ON’s DevOps tech stack, and deliver high levels of cloud automation.

The products you will work 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 systems, inverters, batteries, EV charging stations, heat pumps, and meters as a cloud-based solution for our central and local units, enabling deployment to end-customers. We integrate with various vendors’ devices and utilize centralized insights, analytics, and control mechanisms.

Meaningful & challenging - Your tasks

• Implement CI/CD and DevOps practices for the Future Energy Home Data Team, focusing on ETL pipelines.
• Support automation and maintenance of BI tools like PowerBI and Google Looker Studio for data quality metrics through automated applications.
• Assist data engineers in building and operationalizing self-serve data infrastructure across multiple cloud platforms (AWS, GCP, Azure).
• Ensure data security of deployed data products by implementing data access and anonymization methods (e.g., data masking, pseudonymization) in line with DPO recommendations.
• 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) to democratize data access.
• Proven knowledge in AWS Cloud services like SageMaker, CloudFormation, CDK, Step Functions, CloudWatch, and deployment strategies like Blue-Green/Canary.
• Good communication skills and the ability to collaborate and contribute to a “Community of Practice”.