Time since we first saw it
Day 55
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
Senior Data Engineer
Holzwickede, Germany
Live, first seen by us 55 days ago- Pay
- Pay not listed
- Work setting
Remote — work setting source
Language Skills: Fluency in English is required; knowledge of German is an advantage. Note: This is a remote role in the European Union. Candidates need to be based in a country where Rhenus Overland Transport is already established. Please provide a CV in English language.
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingWe are looking for an experienced and solution-oriented Azure Data Platform Engineer to develop, operate, and optimize our modern Azure-based data platform.
Design and operate end-to-end data solutions on Azure Data Factory, ADLS Gen2, Databricks and Synapse
Develop and maintain scalable ETL/ELT pipelines in PySpark and Spark
Support multi-tenant data platforms across development, test and production
Build and maintain CI/CD pipelines for data pipelines and Databricks workloads
Optimize Azure performance and cost through sizing, lifecycle management and monitoring
From the employer’s posting
We are looking for an experienced and solution-oriented Azure Data Platform Engineer to develop, operate, and optimize our modern Azure-based data platform. In this role, you will focus on Azure, Databricks, data infrastructure, and CI/CD, supporting multi-tenant environments and enabling reliable, scalable data solutions.
Design, build, and operate end-to-end data solutions using Azure Data Factory, Azure Data Lake Storage Gen2, Databricks, and Azure Synapse Analytics.
Develop and maintain scalable ETL/ELT pipelines using PySpark and Spark, with a strong focus on data quality, reliability, and performance.
Support and operate multi-tenant data platforms across multiple environments (development, test, production) with clear separation and governance.
Build and maintain CI/CD pipelines for data pipelines and Databricks workloads, enabling automated deployments across environments.
Apply Azure best practices to optimize performance and cost, including resource sizing, lifecycle management, and cost monitoring.
What you’ll bring
All qualificationsCore experience
- SQL Skills: Strong SQL skills and experience optimizing analytical queries.
Qualification wording
SQL Skills: Strong SQL skills and experience optimizing analytical queries.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 9, 202655 days ago
- Recorded sightings
- 113
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Rhe is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- Azure
- Databricks
- Spark
- PySpark
Where the posting names them
• CI/CD & Automation: Experience with CI/CD pipelines for data workloads and basic automation of deployments. • SQL Skills: Strong SQL skills and experience optimizing analytical queries. • Data Formats: Practical experience with Parquet and/or Avro.
About the Role: We are looking for an experienced and solution-oriented Azure Data Platform Engineer to develop, operate, and optimize our modern Azure-based data platform. In this role, you will focus on Azure, Databricks, data infrastructure, and CI/CD, supporting multi-tenant environments and enabling reliable, scalable data solutions. Main responsibilities:
Main responsibilities: • Develop a Modern Azure Data Platform: Design, build, and operate end-to-end data solutions using Azure Data Factory, Azure Data Lake Storage Gen2, Databricks, and Azure Synapse Analytics. • Create Data Pipelines: Develop and maintain scalable ETL/ELT pipelines using PySpark and Spark, with a strong focus on data quality, reliability, and performance.
• Multi-Tenant & Environment Support: Support and operate multi-tenant data platforms across multiple environments (development, test, production) with clear separation and governance. • Infrastructure & Platform Operations: Provision, configure, and maintain Azure data infrastructure, ensuring stability, security, and scalability. • CI/CD for Data Platforms: Build and maintain CI/CD pipelines for data pipelines and Databricks workloads, enabling automated deployments across environments.
• CI/CD for Data Platforms: Build and maintain CI/CD pipelines for data pipelines and Databricks workloads, enabling automated deployments across environments. • Cost-Efficient & Best-Practice Azure Usage: Apply Azure best practices to optimize performance and cost, including resource sizing, lifecycle management, and cost monitoring. • Collaboration with BI & Data Teams: Work closely with BI and data teams to support efficient data models and reporting solutions.
What You Bring: • Azure Data Platform Experience: Several years of hands-on experience with Azure Data Factory, ADLS Gen2, Databricks, and Azure Synapse Analytics. • PySpark & Spark: Strong experience building distributed data processing pipelines using PySpark and Spark.
• Data Formats: Practical experience with Parquet and/or Avro. • Infrastructure Awareness: Good understanding of Azure resource structure, environments, and operational best practices. • Analytical & Team-Oriented Mindset: Solution-focused approach with the ability to work independently and collaboratively.
• Infrastructure & Platform Operations: Provision, configure, and maintain Azure data infrastructure, ensuring stability, security, and scalability. • CI/CD for Data Platforms: Build and maintain CI/CD pipelines for data pipelines and Databricks workloads, enabling automated deployments across environments. • Cost-Efficient & Best-Practice Azure Usage: Apply Azure best practices to optimize performance and cost, including resource sizing, lifecycle management, and cost monitoring.
• Develop a Modern Azure Data Platform: Design, build, and operate end-to-end data solutions using Azure Data Factory, Azure Data Lake Storage Gen2, Databricks, and Azure Synapse Analytics. • Create Data Pipelines: Develop and maintain scalable ETL/ELT pipelines using PySpark and Spark, with a strong focus on data quality, reliability, and performance. • Multi-Tenant & Environment Support: Support and operate multi-tenant data platforms across multiple environments (development, test, production) with clear separation and governance.
• Azure Data Platform Experience: Several years of hands-on experience with Azure Data Factory, ADLS Gen2, Databricks, and Azure Synapse Analytics. • PySpark & Spark: Strong experience building distributed data processing pipelines using PySpark and Spark. • ETL / ELT Knowledge: Solid understanding of ETL/ELT concepts and data modeling practices.
Your next step
Complete your application on rhe.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has Rhe posted this job before?
Yes. We’ve followed one other Senior Data Engineer job there since August 2026. It is still up.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
What You Can Expect:
About the Role:
We are looking for an experienced and solution-oriented Azure Data Platform Engineer to develop, operate, and optimize our modern Azure-based data platform. In this role, you will focus on Azure, Databricks, data infrastructure, and CI/CD, supporting multi-tenant environments and enabling reliable, scalable data solutions.
Main responsibilities:
• Develop a Modern Azure Data Platform: Design, build, and operate end-to-end data solutions using Azure Data Factory, Azure Data Lake Storage Gen2, Databricks, and Azure Synapse Analytics.
• Create Data Pipelines: Develop and maintain scalable ETL/ELT pipelines using PySpark and Spark, with a strong focus on data quality, reliability, and performance.
• Multi-Tenant & Environment Support: Support and operate multi-tenant data platforms across multiple environments (development, test, production) with clear separation and governance.
• Infrastructure & Platform Operations: Provision, configure, and maintain Azure data infrastructure, ensuring stability, security, and scalability.
• CI/CD for Data Platforms: Build and maintain CI/CD pipelines for data pipelines and Databricks workloads, enabling automated deployments across environments.
• Cost-Efficient & Best-Practice Azure Usage: Apply Azure best practices to optimize performance and cost, including resource sizing, lifecycle management, and cost monitoring.
• Collaboration with BI & Data Teams: Work closely with BI and data teams to support efficient data models and reporting solutions.
• Data Governance & Security Basics: Support data governance requirements such as access control, secure data handling, and basic metadata management.
What You Bring:
• Azure Data Platform Experience: Several years of hands-on experience with Azure Data Factory, ADLS Gen2, Databricks, and Azure Synapse Analytics.
• PySpark & Spark: Strong experience building distributed data processing pipelines using PySpark and Spark.
• ETL / ELT Knowledge: Solid understanding of ETL/ELT concepts and data modeling practices.
• CI/CD & Automation: Experience with CI/CD pipelines for data workloads and basic automation of deployments.
• SQL Skills: Strong SQL skills and experience optimizing analytical queries.
• Data Formats: Practical experience with Parquet and/or Avro.
• Infrastructure Awareness: Good understanding of Azure resource structure, environments, and operational best practices.
• Analytical & Team-Oriented Mindset: Solution-focused approach with the ability to work independently and collaboratively.
• Language Skills: Fluency in English is required; knowledge of German is an advantage.
Note: This is a remote role in the European Union. Candidates need to be based in a country where Rhenus Overland Transport is already established.
Please provide a CV in English language.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Holzwickede, Germany
• Language Skills: Fluency in English is required; knowledge of German is an advantage. Note: This is a remote role in the European Union. Candidates need to be based in a country where Rhenus Overland Transport is already established. Please provide a CV in English language.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.