Your challenges

Develop and maintain data pipelines, extracting, transforming, and loading (ETL) data from diverse sources to centralized repositories.
Design and optimize databases, storage and data models for efficient storage, retrieval, and processing of large datasets.
Collaborate with cross-functional teams to understand data requirements, enabling the delivery of relevant data solutions.
Implement data quality and validation processes to ensure accuracy, consistency, and reliability of data.
Monitor and troubleshoot data pipeline performance, identifying and resolving issues to maintain data integrity and pipeline efficiency.
Stay current with emerging data technologies and trends, contributing to the continuous improvement of data engineering practices.
Exemplifying proactive leadership within the development team, serving as a knowledge sharing expert and role model for effective collaboration.

This is what you bring

At least 5-7 years of experience in a similar role, e.g. Data engineer, Senior/Lead data engineer
Experience in data engineering, with a proven track record of designing and implementing complex data pipelines and ETL processes.
Strong understanding of data modeling, database design, and data warehousing concepts to ensure efficient storage and retrieval of structured and unstructured data.
Experienced in working with Azure (such as: ADF, ADLS, Databricks, etc.)
Experienced in working with Python according to DevOps principles
Ability to optimize and fine-tune data pipelines for performance, scalability, and reliability, leveraging techniques such as partitioning, indexing, and caching.
Excellent problem-solving skills, attention to detail, and a proactive approach to identifying and resolving data-related issues
Collaboration and communication abilities to work with cross-functional teams
Ability to look beyond and connect to related subjects such as data quality, data governance frameworks, and comprehensive security protocols.

* These criteria are an indication of the profile we are looking for. Research shows that male candidates often apply when they see a 60% match with the profile, while women only apply when they see a 100% match. If you don't meet all the criteria but you do believe that this is the right position for you, we kindly invite you to apply anyway or get in touch.

What will you do in this position?

The Senior Data Engineer, reporting to the Lead Development CDP (central data platform) within the KPMG Data Office, will contribute to the Data Platform DevOps & Architecture team's initiatives under the Chief Data Officer. The Senior Data Engineer will play a vital role in designing, building, and maintaining the systems and infrastructure needed to store, process, and analyze large volumes of data. His/her expertise in data engineering will be key in ensuring efficient data pipelines, data storage solutions, and data processing frameworks. As a Senior Data Engineer, you will work closely with cross-functional teams to understand their data requirements and design scalable and robust solutions to meet those needs. Defining standards for data modelling and integration will be a crucial aspect of the role, ensuring consistency and compatibility across the data landscape.

Empowering data-driven success - Being a part of the recently established KPMG Data Office provides me substantial autonomy and responsibility, while being able to create meaningful impact together with a dynamic and proficient team - Jet van Vliet (Data Strategy & Transformation Advisor)

The team

You will be joining a new, young and energetic team with a lot of positive energy and drive to bring the Data Office to a higher level. The opinions of every team member are valued and taken into account which leads to balanced decision-making, but also honesty and transparancy. Furthermore there is trust and to some extent independence for every team member to act on their own 'gut' feeling which increases our effectiveness from day-to-day and makes you 'own' your work.

This is what we offer

Salary on the level of Manager, a fixed expense allowance and a working from home allowance
30 vacation days (on a full-time basis) and the option to buy more days or sell your vacation days
A lease car or mobility budget
A completely furnished home office
A laptop and iPhone which can also be used privately
Pension accrual without a compulsory personal contribution
Choice to pick from different courses which contribute to your own personal and professional development
Focus on well-being! There is a gym at the Amstelveen office or you can get a discount for a gym near your house and you get access to different health and/or vitality programs
‘Together’ is one of our core values. So you can count on different social activities, like team events, drinks with colleagues and events with all your KPMG colleagues