Senior Data Engineer
Europe
General information
Reference
2023-848Position description
Job title
Senior Data Engineer
Function
Advisory Expert - Expert Advisor
Roles & Responsibilities
At KPMG, we help businesses unlock the potential of their data through innovative solutions that drive meaningful outcomes. Our Data Engineering team works closely with clients to design, build, and maintain data infrastructures that support better decision-making. As a global leader in professional services, we combine technical expertise with a deep understanding of industry needs to deliver value-driven results.
Becoming a (Senior) Data Engineer at KPMG Lighthouse will allow you to take part in complex data platform & analytics projects through their entire lifecycle. You will develop and extend your technical skills in rationalizing, migrating, and building (cloud) modern data platforms for multiple organizations.
As a (Senior) Data Engineer Consultant at KPMG, you will work on a variety of data-related projects across multiple industries, helping our clients optimize their data pipelines and infrastructure. You’ll focus on designing and implementing scalable data solutions, ensuring that data is accessible, clean, and reliable. This is an opportunity to be part of a collaborative team, solving real-world business problems using the latest technologies and methodologies.
Key Responsibilities:
- Design, develop, and maintain efficient and scalable data pipelines
- Collaborate with clients and internal teams to understand data requirements and business objectives
- Build and manage data architectures that enable real-time analytics and reporting
- Implement ETL (Extract, Transform, Load) processes to ensure data quality and accuracy
- Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to deploy and manage data solutions
- Troubleshoot and optimize existing data systems for performance and scalability
- Stay updated on emerging data technologies and best practices
Location
Zaventem HQ
Skills & Qualifications
- You have a bachelor or master’s degree in computer science, (business) engineering or any other relevant topic.
- Minimum of 3 year of data engineering experience preferably with a professional services firm, an internal strategy/analytics group or similar environment.
- General knowledge of cloud native computing, public hyperscalers (Azure is a plus)
- You have basic knowledge in SQL, python, or any other programming language
- You are an enthusiastic, driven, and proactive person, taking ownership and accountability in your work
- You are a team player, and have a can-do mentality
- You are interested in the bigger picture and able to think broader than your own capabilities.
- You are fluent in Dutch and/or French and have English professional working proficiency
We offer
- A competitive salary and profit sharing – the compensation package can be shaped to your individual needs in terms of mobility, IT devices, etc.
- Your will get fringe benefits including continuous trainings that build and extend professional, technical, and managerial skills in an international and dynamic environment.
- Flexible, hybrid work arrangements to enable working on different locations: home office, on-site or on the go.
- “Together” is one of our KPMG-values, so you can count on a wide range of social activities like team buildings, get-togethers & after-work opportunities together with your colleagues
- Professional experiences in an international and dynamic working environment with inspiring colleagues.
- An inclusive workspace that encourages diversity and pursues mutual respect for each other’s beliefs and background.
#technology
#lighthouse
#dataplatform
#bianalytics
#LI-SV1
Contract type
Permanent
Full time/ Part time
Full-time
Position location
Job location
Europe
Candidate criteria
Minimum level of experience required
3 to 5 years
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Computer Science Data pipelines Data quality Engineering ETL GCP Google Cloud Pipelines Python SQL
Perks/benefits: Competitive pay Flex hours Team events
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