Develop your skills and know-how through an average of 64 hours of professional and individual training on offer each year.
Print job offer
Job at KPMG:
Senior Data Engineer
Reference nr.: AV-SENI-1017
KPMG is one of the world’s leading professional firms providing audit, tax and advisory services, with 236,000 employees in 144 countries. We have already worked with 72 of Hungary’s Top 100 companies, and we’re not stopping there! Whatever you are interested in around the world, we can really help you get there. In a dynamic environment with intelligent people you can learn how to use your knowledge well. Are you wondering about how? Read our job advertisement and learn about what you can expect in reality if you decide to join us. It is clear for us that your ambition can drive us to our future together.
#poweredbyyou
We help our clients with industry-specific services to create value and manage risks. Our wide-ranging client portfolio enables you to gain real-life experience in industries such as telecommunications, energy, IT, finance or sports, and to work on ground-breaking projects.
This is the perfect opportunity for you, if You have…
- Bachelor's or Master's degree preferably in Computer Science, Engineering, Data Science, or a related field or Economics with strong IT affinity.
- 3-5 years of experience in data engineering, data warehousing, or big data
- Strong proficiency in SQL and experience with relational databases. NoSQL is an advantage
- Knowledge of cloud-based data storage and processing platforms preferably MS Azure based
- Expertise in at least one programming languages such as Python, Scala or C#
- Familiarity with at least one data integration tool such as Data Factory, Synapse Analytics, Alteryx or SSIS
- Strong understanding of data modeling, data structures, algorithms, master data and transactional data concepts
- Familiarity with data visualization tools such as MS Power BI, Tableau, Qlikview
- Excellent problem-solving and analytical skills
- Ability to work independently and collaboratively in a team environment
- Strong communication skills, both written and verbal in English and in Hungarian
- At least one Industry-specific knowledge or experience in the target domain (e.g., Banking, Finance, healthcare, retail, insurance)
- Knowledge of MS Office tools
- Independent project management and proactive stakeholder involvement.
- Can do attitude
Nice to have skills:
- Experience with big data technologies like Hadoop or Spark.
- Familiarity with Agile methodologies
- Knowledge of DevOps and CI/CD
- Knowledge of containerization and orchestration technologies like Docker and Kubernetes
- Conceptual understanding of Machine Learning use cases
- Experience with real-time data processing and streaming technologies
- Azure certificates in topics of Data engineering, Data analytics
As part of our team, we will count on you to…
- Design, develop, and maintain scalable and reliable data pipelines to ingest, process, and store large volumes of structured and unstructured data
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and implement solutions that meet business needs
- Optimize data processing workflows and performance, ensuring data quality and integrity
- Develop and maintain data models, schemas, and metadata to support data warehousing and analytics initiatives
- Implement data security and privacy best practices, ensuring compliance with relevant regulations and industry standards
- Stay up-to-date with the latest trends and technologies in data engineering, continuously improving skills and knowledge
- Mentor and guide junior data engineers, fostering a culture of collaboration and continuous learning within the team
- Participate in cross-functional projects and initiatives, contributing data engineering expertise as needed
We’ll provide you with…
- Challenging work as a member of the young and motivated Technology Enablement team
- Personal and professional development and learning opportunities
- Competitive salary and benefits
At KPMG we are living our values every day: we do what is right, we never stop learning and improving, we think and act boldly. We respect each other and draw strength from our differences, and we do what matters to build a better world for the next generation.
Apply easily and experience success together.
KPMG is an equal opportunity employer and values diversity in its workforce. We encourage applications from all qualified individuals and willing to accommodate applicants’ disability-related needs. Should you have any questions or special need please let us know under the Contacts menu button.
Basic information
- Location: Budapest
- Professional field: Advisory
- Experience:
- Experienced
- Working hours: Full time
Share this job
Do you know someone who fits this position perfectly? We would be grateful if you could share this job with her/him!
Sharing options:
1134 Budapest, Váci út 31.
Budapest
Why should you choose KPMG?
Personal and professional growth
You’ll receive continuous feedback on your work and performance from your mentor and performance manager, to be able to grow continuously.
Cooperative, motivated team
Team building, Christmas parties, inspirational events, company-wide activities – online or offline, You are the focus and you can be yourself.
Your mental and physical health are important to us. We support our colleagues’ sports activities, including team sports and running competitions.
Real and relevant knowledge
Thanks to professional trainings and knowledge gained in various industries, you can experience what it is like when the leaders of the largest companies turn to you directly for professional help.
You can use your professional knowledge not only in client projects, but also in pro-bono and volunteer activities.
Stable local basis, international background
Performance assessment on an international basis, local mentors, promotions and salary increases - they're not just promises, it's all possible in your first year.
Have a go at KPMG member firms abroad through a secondment, which can last from a few months to a few years.