Állásajánlat nyomtatása

Job at KPMG:

Junior Data Engineer

Reference nr.: AV-JUNI-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.
  • 1-3 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 least one programming languages such as Python, VBA, Scala or C#
  • Familiarity with at least one data integration tool such as Data Factory, Synapse Analytics, Alteryx or SSIS
  • 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
  • Knowledge of MS Office tools
  • Willingness to learn new technologies
  • Can do attitude

Nice to have skills:

  • Knowledge of cloud-based data storage and processing platforms preferably MS Azure based
  • Experience with big data technologies
  • Familiarity with Agile methodologies
  • Knowledge of containerization and orchestration technologies like Docker and Kubernetes
  • Conceptual understanding of Machine Learning use cases
  • Azure certificates in topics of Data engineering, Data analytics

As part of our team, we will count on you to…

  • Proactively support the team with new ideas and solutions
  • Support the design and development of 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
  • Support the development and maintenance of data models, schemas, and metadata regarding to data warehousing and data analytics initiatives
  • Stay up-to-date with the latest trends and technologies in data engineering, continuously improving skills and knowledge
  • 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:
    • Fresh graduate
  • 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

Miért válaszd a KPMG-t?

Szakmai és személyes fejlődés

Évente akár 64 órányi szakmai és egyéni készségfejlesztő képzésen fejlesztheted magad.

Mentorod és performance managered folyamatos visszajelzést ad a teljesítményedre vonatkozóan, hogy gyorsabban fejlődj.

Összetartó, motivált csapat

Csapatépítők, karácsonyi parti, inspirációs események, céges programok – online vagy offline, nálunk Te vagy a középpontban és önmagad lehetsz.

A mentális egészség mellett a fizikai jóléted is fontos számunkra. Kollégáink gyakran járnak munka után közösen sportolni vagy neveznek be futóversenyekre, melyeket a cég finanszíroz.

Valódi és releváns tudás

A szakmai tréningeknek és a legkülönbözőbb iparágakban szerzett ismereteknek köszönhetően megtapasztalhatod milyen, amikor a legnagyobb cégek vezetői fordulnak hozzád közvetlenül szakmai segítségért.

Szakmai tudásod nem csak ügyfeleink projektjein, hanem pro-bono munkákon, önkéntes tevékenységek keretében is kamatoztathatod.

Stabil hazai alapok, nemzetközi háttér

Teljesítményértékelés nemzetközi alapokon, hazai mentorok, előléptetés, fizetésemelés – ezek nem csak üres ígéretek, mindez már az első évben lehetséges.

Ha kalandra vágysz, néhány év tapasztalat után kipróbálhatod magad a KPMG külföldi irodáiban is.