Tech­ni­cal Ana­lys­t/­Spe­cia­lis­t - Da­tab­ricks ­Plat­for­m (al­l hu­man­s)

Vollzeit
  • Home Office:Teilweise möglich
  • Einstiegsgehalt:Ab € 3.000 brutto pro Monat
  • Berufserfahrung:2-5 Jahre
  • Startdatum:Ab sofort
  • Befristung:Ohne Befristung
Bratislava, Slowakeivor 1 Tag

We are part of Erste Group – the largest banking group in Central and Eastern Europe with more than 2,500 branches and over 45,000 employees. Our more than 2,000 IT experts and enthusiasts are the bank's Digital Muscle.

We are looking for an Analyst / Technical Specialist to support the ongoing development, adoption, and daily operations of the Erste Databricks Platform. The role is positioned between users, data teams, platform engineers, and other stakeholders. The main focus is to understand business needs, translate them into clear requirements, support technical implementation, and help ensure that the Databricks platform delivers value in a secure, efficient, and scalable way.

The ideal candidate has a mix of analysis skills and technical understanding, with experience or interest in cloud data platforms, Azure, Terraform, Python, SQL, and modern data governance practices. The candidate does not need to fulfill every requirement but should be willing to learn and grow in the role.

Profil

  • Experience as an Analyst, Technical Specialist, Data Analyst, Platform Analyst, or similar role.
  • Ability to communicate effectively with both business and technical stakeholders.
  • Good understanding of data platforms, data pipelines, analytics, or cloud-based solutions.
  • Hands-on experience or working knowledge of SQL.
  • Experience with Databricks or similar cloud data platforms.
  • Familiarity with Microsoft Azure services and cloud concepts.
  • Understanding of infrastructure-as-code concepts, preferably Terraform.
  • Ability to document requirements, processes, user stories, and technical concepts clearly.
  • Strong analytical thinking and problem-solving skills.
  • Willingness to learn new technologies and understand complex platform environments.

Aufgaben

  • Work daily with Databricks users to understand their requests, challenges, and goals.
  • Translate their needs into clear functional and technical requirements.
  • Support the Erste Databricks Platform team in prioritizing, analyzing, and delivering user requests.
  • Collaborate with data engineers, platform engineers, architects, security teams, and business stakeholders.
  • Help design and document platform processes, user journeys, and operational procedures.
  • Support onboarding of new users, use cases, and data products onto the Databricks platform.
  • Analyze issues, clarify requirements, and coordinate resolution with the relevant technical teams.
  • Support improvements in data lifecycle management, governance, cost awareness, and operational efficiency.
  • Contribute to platform documentation, knowledge sharing, and best-practice guidelines.
  • Help ensure that platform usage aligns with internal standards, security requirements, and governance principles.
  • Stay informed about current AI, analytics, and data platform trends and assess their potential relevance for business users.

Unser Angebot

  • Health Care – Taking care of your health is important. That’s why we contribute to your above standard medical examination and provide a helpline in case of hard lifetime situations. You also receive a salary compensation during sick leave
  • Work-Life-Balance – Sabbatical, paternity leave, contribution to marriage & childbirth, 4 days of extra holiday per year, contribution to the 3rd pillar and MultiSport card. This is how we promote a balance between work, leisure, and family
  • Employee Referral Program – Become a talent scout for career opportunities in IT. We are rewarding every successful referral for Erste Digital
  • A competitive and performance-related salary dependent on your professional and personal qualifications is granted - we are obliged by law to quote the minimum wage of EUR 3000,- gross per month for this full time position. But this is just a formality, we are more than happy to discuss your actual expectations.

Zusätzliche Informationen

Nice to have:
Experience or basic knowledge of Python.
Knowledge of CI/CD concepts, DevOps practices, Git, or automated deployment pipelines.
Understanding of FinOps, cloud cost optimization, usage monitoring, and cost transparency.
Knowledge of data lifecycle management, including retention, archiving, and data quality considerations.
Understanding of data governance, access management, lineage, cataloging, and compliance-related topics.
Awareness of current AI trends, including GenAI, machine learning platforms, data products, and responsible AI.
Experience in a banking, financial services, or regulated enterprise environment.

The way we are: Erste Group considers the diversity of its employees as key to innovation and success. As employer we are proud to offer everyone equal chances, irrespective of age, skin colour, religious belief, gender, sexual orientation or origin.

Über Da­ta­ ­Sci­en­tists: Häufig gestellte Fragen

Was macht ein Da­ta­ ­Sci­en­tist?

Du kannst gut mit Computern umgehen, schreckst vor Zahlen nicht zurück und weißt, dass Java nicht nur eine Insel, sondern auch eine Programmiersprache ist? Du analysierst leidenschaftlich gerne: nicht nur die WhatsApp-Nachrichten der Ex-Freundin deines besten Freundes, sondern auch große Datenmengen, um logische Zusammenhänge herzustellen? Du interessierst dich außerdem für betriebswirtschaftliche Hintergründe und hast kein Problem damit, vor Leuten zu sprechen um deine Analyseergebnisse zu präsentieren? Dann ist dieser Beruf perfekt für dich. Als Data Scientist analysiert und ordnest du große Datenmengen. Dafür verwendest du Analysemethoden, um aus Zahlen Informationen und Statistiken herauszulesen und für Unternehmen verwertbar zu machen (Anzahl der Kundenaufträge, produzierte Produkte, Besucher auf einer Website usw.). Du bist Vermittler zwischen verschiedenen Ebenen und Abteilungen eines Unternehmens. Du “übersetzt” die Analyseergebnisse in Graphen und Tabellen und musst diese sowohl für die einzelnen Fachabteilungen, als auch für die Top Manager verständlich präsentieren.

Worunter sind Da­ta­ ­Sci­en­tists noch bekannt?
Da­ta­ ­Sci­en­tists sind auch bekannt als: Big Data Scientist, Datenwissenschafter*in, Datenwissenschaftler*in, Data Analyst, Data Scientist, Datenanalyst*in
Welche Skills benötigt man als Da­ta­ ­Sci­en­tist?
Um ihre Tätigkeit gut ausführen zu können, benötigen Da­ta­ ­Sci­en­tists grundsätzlich folgende Hard Skills:

Programmieren
Fachwissen in Monitoring-Tools (z.B. Google Analytics)
EDV-Anwendungskenntnisse
Kommunikationstechnik


Außerdem sollte ein Da­ta­ ­Sci­en­tist gewisse Soft Skills mitbringen:

Analytische Arbeitsweise

Welche Schulfächer sind für einen angehenden Da­ta­ ­Sci­en­tist relevant?
Für die meisten Da­ta­ ­Sci­en­tists ist es hilfreich, an folgenden Schulfächern Interesse zu haben: Mathematik, Informatik, Englisch
In welchen Tätigkeitsfeldern arbeiten Da­ta­ ­Sci­en­tist?
Da­ta­ ­Sci­en­tists arbeiten in der Regel in folgenden Tätigkeitsfeldern:

Arbeiten im Büro, Arbeiten mit Technik, Arbeiten am Computer