Senior Data Engineer

Orsted Germany; Kuala Lumpur; On-site; MYR 80,000 - 160,000; Full time

Job summary

Ørsted is looking for a data engineer to develop and maintain data ingestion pipelines and support internal data platforms. You will help evolve and maintain data engineering and ingestion pipelines within Ørsted Data Ecosystem to enable data-driven decisions across the organisation.

You’ll work in a global team delivering value across the business, using Python, SQL, Spark, and cloud technologies to build scalable pipelines and governance practices, with a focus on security, stability, and

Qualifications

• Must have professional data engineering experience in data analytics and ETL/ELT.
• Strong hands-on Python and SQL skills with DevOps/CI-CD knowledge.
• Experience with Spark/PySpark, Kafka or NiFi.
• Familiar with cloud platforms (AWS, Azure) and container tech (Kubernetes, Docker).
• Curious and eager to learn; able to work collaboratively.

Responsibilities

• Developing production-grade and peer-reviewed data ingestion pipelines.
• Ensure data is accessible with security, stability, and performance in mind.
• Collaborate with data engineers, architects and stakeholders to solve data engineering problems.
• Contribute to developing capabilities and governance of the data platform.
• Set up monitoring and orchestration of data pipelines.

Skills

Data engineering

Python

SQL

DevOps CI/CD

Spark/PySpark

Kafka

NiFi

AWS

Azure

Kubernetes

Docker

Tools

GitHub Actions

Azure DevOps

Job description

Join us in this role whereyou’llperform both development and internal support tasks in a team of data enthusiasts who are passionate about developingplatformsolutions that enable data driven decisions throughout the organisation.

Welcome to Ørsted Data Ecosystem

You’ll be part of a global team where you, together with your colleagues, will deliver value to the business across Orsted.You’llbe a central part of our team evolving, developing, andmaintainingthe data engineering and ingestion pipelines within Ørsted Data Ecosystem.

The Ørsted Data Ecosystem is a modern cloud-based dataplatformproviding technology that supports the collection, processing, and consumption of data from all Ørsted’ s business units, using batch or streaming patterns and making it available to analysts, data scientists, and machine learning models. When working with our backlog, we aim to empower people to make decisions, we promote collaboration between people and teams, and we provide work hour flexibility.

You’ll play an important role in:

• developing and maintaining production-grade and peer-reviewed data ingestion pipelines
• ensuring that data is made available in a way that is optimised for security, stability, and performance
• collaborating with the peer data engineers, architects and other stakeholders to identify and solve problems within data engineering practices
• participating in developing the capabilities and governance of the data platform
• setting up monitoring and orchestration of data pipelines.

To succeed in the role, you:

• have professional data engineering experience in data analytics, data processing tools, ETL, ELT etc
• have strong hands-on Python and SQL skills with DevOps and CI/CD (GitHub Actions, Azure DevOps etc.) knowledge
• have experience working with Spark/PySpark, Kafka or NiFi
• are familiar with cloud platforms (AWS, Azure) and container technology (Kubernetes, Docker)
• have an experimental mindset and appreciate learning new things
• are curious and engaged with a passion for making a difference through data.

Maybe you’veread the above and can see you have some transferable skills, even though theydon’tquite match all the points.

Shape the future with us

As an applicant or employee, you may request reasonable work and position accommodation or adjustments via [e-mail].