Data Engineer – AWS & Power BI (m/f/d) 95% remote ID02184
Data Engineer – AWS & Power BI (m/f/d) 95% remote ID02184
Data Engineer – AWS & Power BI (m/f/d) 95% remote ID02184
Data Engineer – AWS & Power BI (m/f/d) 95% remote ID02184
mund consulting AG
Beratung, Consulting
Erlangen
- Art der Anstellung: Vollzeit
- 74.000 € – 98.000 € (von XING geschätzt)
- Hybrid
- Zu den Ersten gehören
Data Engineer – AWS & Power BI (m/f/d) 95% remote ID02184
Über diesen Job
Job Description
Project work (external) Frankfurt am Main, remote. App start date: October 2025. ++
python
Power BI
SQL
Confluence
Scrum
AWS Lambda
Agile
GitLab
Data Engineering
Data Science
Machine Learning
Apache Spark
AWS Cloud
MLOps
AWS Glue
AWS SageMaker
Geodata processing
PTV Visa
OpenStreetMap
Data Engineer – AWS & Power BI (m/f/d) 95% remote ID02184
...for the further development of a data-driven analysis and reporting platform
Start:October 6, 2025
End:December 31, 2025 + Option
Location:Remote & Frankfurt am Main (Onshore, only a few onsite days)
End:December 31, 2025 + Option
Location:Remote & Frankfurt am Main (Onshore, only a few onsite days)
Project description:
As part of an infrastructure program, a data engineer is sought to further develop an AWS-based data and analytics platform. The goal is the efficient preparation, processing, and visualization of maintenance and operational data to manage KPIs such as availability, quality, and efficiency. The work will be carried out in an agile Scrum team with three-week sprints.
Tasks:
– Development of data pipelines for ingesting, processing, and delivering data
– Modeling and optimizing data models for relational and non-relational data
– Integration of data from various sources
– Implementation of data governance and security policies
– Optimization of data processing processes (e.g., performance, scalability)
– Development of interactive dashboards and reports in Power BI
– Automation of recurring data processes
– Conducting ad-hoc analyses and plausibility checks
– Documentation in Confluence, code management in GitLab
– Development of data pipelines for ingesting, processing, and delivering data
– Modeling and optimizing data models for relational and non-relational data
– Integration of data from various sources
– Implementation of data governance and security policies
– Optimization of data processing processes (e.g., performance, scalability)
– Development of interactive dashboards and reports in Power BI
– Automation of recurring data processes
– Conducting ad-hoc analyses and plausibility checks
– Documentation in Confluence, code management in GitLab
Requirements (must-have criteria):
– At least 3 years of experience with serverless data processing and integration (e.g., AWS Glue, AWS Lambda)
– At least 1 project experience in implementing reports and dashboards with Power BI
– At least 3 years of project experience in data engineering in the AWS cloud in an enterprise environment
– At least 2 reference projects with Apache Spark, AWS SageMaker, or Python
– At least 2 reference projects in automated processing of geodata (e.g., PTV Visum, OpenStreetMap, Python)
– At least 1 project experience in implementing reports and dashboards with Power BI
– At least 3 years of project experience in data engineering in the AWS cloud in an enterprise environment
– At least 2 reference projects with Apache Spark, AWS SageMaker, or Python
– At least 2 reference projects in automated processing of geodata (e.g., PTV Visum, OpenStreetMap, Python)
Important evaluation criteria (target):
– Practical experience with connecting and processing maintenance data (30%)
– Very good SQL knowledge (at least 3 years of experience, 30%)
– Knowledge of machine learning and MLOps (20%)
– Proven knowledge of data engineering or data science (20%)
– Very good SQL knowledge (at least 3 years of experience, 30%)
– Knowledge of machine learning and MLOps (20%)
– Proven knowledge of data engineering or data science (20%)
The mund consultingteamlooks forward to receiving your application—please include a current CV, availability, hourly rate, and project references.
Best regards,
Thomas Mund
, post@mund-consulting.de
Best regards,
Thomas Mund
, post@mund-consulting.de
Edited 18.09.25
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