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 e.g. MS Fabric, Synapse Warehouse;
• understanding of data modeling, data structures, algorithms, master data and transactional data concepts;
• familiarity with data visualization tool capabilities (e.g. 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 management\governance tools e.g. 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).

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