Ez az állásajánlat nem elérhető az országodban.

Medior Data Engineer

KPMG HungaryBudapest, Hungary

Több mint 30 napja

Munkaköri leírás

Are you excited to see what the future holds?

Do you prefer taking things one step at a time?

Or just the opposite, and you're ready to push the limits?

Perhaps you're already taking on the next big challange?

Whether you're a fresh grad dreamer, a thoughtful career planner, or an experienced pro - endless opportunities await you here.

We provide the frame - it's up to you to discover your potential within it.

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;
2-4 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, SSIS, or Data management Platform MS Fabric, Synapse Warehouse;
understanding of data modeling, data structures, algorithms, master data and transactional data concepts;
familiarity with data visualization tool capabilities ( MS Power BI, Tableau, Qlikview), report development in these tools is not a requirement, but the effective data preparation for reporting;
knowledge of cloud data storage and processing platforms preferably MS Azure based;
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 :

Experience with Master data managementgovernance tools Purview.

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 the opportunity to...

participate in diverse projects and get a hands on experience on various data technologies;

work in close-knit, cohesive teams where members help one another to achieve a common goal;

grow professionally and personally during your role via professional mentoring and several online and offline learning opportunities such as Udemy, Coursera or in-house technology workshops and trainings;

have flexible working schedule with our hybrid office presence policy and respect for your work / life balance;

get a competitive salary package with fringe benefits and health insurance (Medicover).

Hozzon létre álláshirdetést erre a keresésre

Data Engineer • Budapest, Hungary