Puchong, Malaysia
Live, first seen by us 17 days agoWe are looking for an experienced Senior Data Engineer / Data Engineering Lead to join the Sales Planning (Car Sales) function and take a leading role in upcoming data and analytics initiatives.
This position combines hands-on data engineering with technical project leadership.
Lead end-to-end delivery of data pipeline and Power BI initiatives
Design and maintain scalable solutions on Azure Databricks and Data Factory
Develop and optimize data pipelines using SQL and Python
Coordinate external vendors and give technical direction to data engineering
Build and enhance Power BI reports and dashboards for business needs
We are looking for an experienced Senior Data Engineer / Data Engineering Lead to join the Sales Planning (Car Sales) function and take a leading role in upcoming data and analytics initiatives.
This position combines hands-on data engineering with technical project leadership. The successful candidate will lead the end-to-end delivery of Power BI solutions and Azure-based data pipelines, while coordinating external vendors and working closely with business stakeholders and global teams.
Lead the end-to-end delivery of data engineering, data pipeline and Power BI initiatives.
Design, develop and maintain scalable solutions using Microsoft Azure, Azure Data Factory and Azure Databricks.
Develop, optimize and support data pipelines using SQL and Python.
Coordinate external vendors and provide technical direction for data engineering activities.
Develop and enhance Power BI reports and dashboards based on business needs.
5-7+ years of experience in Data Engineering, Data Analytics, Data Platforms or a related technical environment.
Experience working in Agile/Scrum environments.
Ability to work independently while collaborating across multiple teams.
Strong SQL and Python/PySpark development.
Proven experience in Power BI report development.
Experience with Azure Data Platform technologies.
At Mercedes-Benz, we don’t just build cars, we create great software.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 17
Similar jobs usually come down between day 6 and day 56.
At Mercedes-Benz Group, jobs usually come down by about day 28.
From 13,630 similar postings that came down, and 79 of Mercedes-Benz Group’s. Coming down is not always a hire.
17 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- Azure Log Analytics - PowerShell / Bash
- Design, develop and maintain scalable solutions using Microsoft Azure, Azure Data Factory and Azure Databricks. - Develop, optimize and support data pipelines using SQL and Python. - Work with Azure Data Lake Storage for data storage, processing and integration requirements.
- Strong hands-on experience with Microsoft Azure, Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Microsoft Entra ID / Azure Active Directory, and Azure Key Vault. - Strong programming and data manipulation skills using SQL and Python. - Proven experience in Power BI report development.
- Data Engineering - Strong SQL and Python/PySpark development. - Experience building and supporting ETL/ELT pipelines.
We are looking for an experienced Senior Data Engineer / Data Engineering Lead to join the Sales Planning (Car Sales) function and take a leading role in upcoming data and analytics initiatives. This position combines hands-on data engineering with technical project leadership. The successful candidate will lead the end-to-end delivery of Power BI solutions and Azure-based data pipelines, while coordinating external vendors and working closely with business stakeholders and global teams. The ideal candidate can independently assess technical requirements, define an appropriate solution approach, coordinate delivery, manage stakeholder expectations, and remain hands-on where required.
- Lead the end-to-end delivery of data engineering, data pipeline and Power BI initiatives. - Design, develop and maintain scalable solutions using Microsoft Azure, Azure Data Factory and Azure Databricks. - Develop, optimize and support data pipelines using SQL and Python.
- Develop, optimize and support data pipelines using SQL and Python. - Work with Azure Data Lake Storage for data storage, processing and integration requirements. - Develop and enhance Power BI reports and dashboards based on business needs.
- Support integration requirements involving APIs and multiple data sources. - Apply Azure DevOps Pipelines and/or GitHub Actions, including pipeline triggers and CI/CD concepts. - Manage source code and collaborative development using GitHub.
- Work within an Agile/Scrum environment and manage delivery through JIRA. - Support secure Azure implementations using Microsoft Entra ID and Azure Key Vault. - Provide technical guidance while remaining hands-on with engineering and troubleshooting activities.
- 5-7+ years of experience in Data Engineering, Data Analytics, Data Platforms or a related technical environment. - Strong hands-on experience with Microsoft Azure, Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Microsoft Entra ID / Azure Active Directory, and Azure Key Vault. - Strong programming and data manipulation skills using SQL and Python.
- Experience using GitHub for source control and collaborative development. - Understanding of Azure DevOps Pipelines and/or GitHub Actions, including triggers and CI/CD concepts. - General understanding and practical experience working with APIs.
- Experience working in Agile/Scrum environments. - Experience with Azure Data Platform technologies. - Experience developing enterprise-grade ETL/ELT pipelines.
- Experience supporting data warehouse, data lake and analytics platforms. - Experience working with source control tools such as GitHub or Azure Repos. - Experience with Jira and Confluence.
Cloud & Platform - Microsoft Azure - Azure Databricks
- Microsoft Azure - Azure Databricks - Azure Data Factory
- Azure Databricks - Azure Data Factory - Azure Data Lake Storage (ADLS)
- Azure Data Factory - Azure Data Lake Storage (ADLS) - Azure Synapse Analytics (nice to have)
- Azure Data Lake Storage (ADLS) - Azure Synapse Analytics (nice to have) - Azure Key Vault
- Azure Synapse Analytics (nice to have) - Azure Key Vault - Azure DevOps Pipelines
- Azure Key Vault - Azure DevOps Pipelines - GitHub Actions
DevOps & Engineering - GitHub / Azure Repos - CI/CD
- Terraform (nice to have) - Databricks CLI / Azure CLI (nice to have) Nice to Have
- Kusto Query Language (KQL) - Azure Log Analytics - PowerShell / Bash
- GitHub Actions Databricks & Big Data - Apache Spark / PySpark
- Delta Lake - Databricks Workflows - Unity Catalog (nice to have)
- Apache Spark / PySpark - Delta Lake - Databricks Workflows
- CI/CD - Docker - Terraform (nice to have)
Key Responsibilities - Lead the end-to-end delivery of data engineering, data pipeline and Power BI initiatives. - Design, develop and maintain scalable solutions using Microsoft Azure, Azure Data Factory and Azure Databricks.
- Work with Azure Data Lake Storage for data storage, processing and integration requirements. - Develop and enhance Power BI reports and dashboards based on business needs. - Coordinate external vendors and provide technical direction for data engineering activities.
- Strong programming and data manipulation skills using SQL and Python. - Proven experience in Power BI report development. - Experience using GitHub for source control and collaborative development.
Visualization & Reporting - Power BI - DAX
- FastAPI - Redis - NATS
Databricks & Big Data - Apache Spark / PySpark - Delta Lake
- Docker - Terraform (nice to have) - Databricks CLI / Azure CLI (nice to have)
Nice to Have - FastAPI - Redis
Complete your application on jobs.mercedes-benz.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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.
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.
About Us
At Mercedes-Benz, we don’t just build cars, we create great software. We develop tomorrow’s mobility together in our product lines, pushing the digitization of the Mercedes-Benz Group AG forward. As a tech company, we are agile, innovative, and always keep our finger on the pulse of change. This is why inner source, FOSS, secure code, DevOps, infrastructure as code (IaC), data analytics, artificial intelligence, and many more are core components of our daily work.
IT is our passion, and we move toward a bright future, sometimes quickly, sometimes creatively but always together.
We believe in integrity, trust, and transparency as part of our flexible work culture, with a strong emphasis on teamwork and the learning process, making mistakes, and achieving continuous progress together in all products we create and develop within the Mercedes-Benz Group.
Our workplace is anywhere* with a fast connection whether remotely at home, at your favorite café, or at our integrated office at Wisma Mercedes-Benz, which comes with an LRT station at its doorstep, an al fresco cafeteria, ample greenspaces, and free parking.
About the Role
We are looking for an experienced Senior Data Engineer / Data Engineering Lead to join the Sales Planning (Car Sales) function and take a leading role in upcoming data and analytics initiatives.
This position combines hands-on data engineering with technical project leadership. The successful candidate will lead the end-to-end delivery of Power BI solutions and Azure-based data pipelines, while coordinating external vendors and working closely with business stakeholders and global teams.
The ideal candidate can independently assess technical requirements, define an appropriate solution approach, coordinate delivery, manage stakeholder expectations, and remain hands-on where required.
Key Responsibilities
Qualifications
Required
Must-Have Requirements
Experience
Specific Knowledge / Skills
Knowledge and Skills
Experience developing data quality, validation and monitoring frameworks.
Cloud & Platform
Databricks & Big Data
Visualization & Reporting
DevOps & Engineering
Nice to Have
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Puchong, Malaysia
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.