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Data Office - Data Engineer

29-05-2024
Marktconform
Medior
Amstelveen
Do you want to work in the newly established and dynamic Data Office team and contribute to KPMG's data-driven future? As a Data Engineer, you will create and manage robust data pipelines, seamlessly extracting, transforming, and loading data from diverse sources to centralized repositories. Join us and use your expertise to translate data requirements into impactful solutions for KPMG.

Do you want to work in the newly established and dynamic Data Office team and contribute to KPMG's data-driven future? As a Data Engineer, you will create and manage robust data pipelines, seamlessly extracting, transforming, and loading data from diverse sources to centralized repositories. Join us and use your expertise to translate data requirements into impactful solutions for KPMG. 

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. 

Wat ga jij doen als Data Office - Data Engineer?

As a Data Engineer, reporting to the Lead Development CDP (central data platform) within the KPMG Data Office, you will contribute to the Data Platform DevOps & Architecture team's initiatives under the Chief Data Officer. You will play a vital role in designing, building, and maintaining the systems and infrastructure needed to store, process, and analyze large volumes of data. Your expertise in data engineering will be key in ensuring efficient data pipelines, data storage solutions, and data processing frameworks. As a 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.

Jouw uitdagingen

  • 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.

This is what we offer

  • Salary on the level of Advisor, 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 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

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Contactpersoon

Neem contact op met Githa de Waard

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