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- Aufgaben: Analyze and prepare data, develop scalable ELT/ETL flows, and integrate into Big Data environments.
- Arbeitgeber: Join a dynamic team in the innovative betting and gaming industry with state-of-the-art technologies.
- Mitarbeitervorteile: Enjoy flexible working hours, additional holidays, modern office perks, and extensive development opportunities.
- Warum dieser Job: Be part of a culture that values diversity and offers the flexibility of a start-up with corporate security.
- Gewünschte Qualifikationen: Technical education, experience with data modeling, and knowledge of SQL, Hadoop, and programming languages required.
- Andere Informationen: 50-60% home office available; salary ranges from €3,900 to €5,000 based on experience.
div.jobad .jobad-hide-sm {display:none;} Data Engineer (w/m/x) #Apache Flink Wien oder südliches Niederösterreich 50 – 60% Homeoffice € 3,900 – € 5,000 Full Time Job Nr. EPIN40563 Apply now Your future role You analyze and prepare data from various upstream systems and ensure meaningful and reliable data sources You model and develop scalable ELT/ETL data flows, both batch and streaming processes As an important interface between data analysts and data scientists, you understand the requirements and translate them into technically efficient data solutions You enrich the data and integrate it into the Big Data environment based on Apache Hadoop (Cloudera) Desired qualifications You have completed a technical education and have practical experience in data modeling You have already worked with relational databases and big data technologies such as Apache Flink You have in-depth knowledge of core technologies such as SQL (MS SQL Server), Apache Hadoop (especially Kafka, NiFi, Flink), programming in Scala, Java and/or Python as well as Linux You are interested in high-frequency data processing in near-real-time Very good English skills round off your skill set The special thing about this job A combination of a stable market presence and a dynamic corporate culture An openminded culture that extends to management level and values cultural diversity The flexibility and mentality of a start-up, paired with the security of an international group An extensive benefits program and numerous development opportunities Your contact person Theresa Piesinger Recruiting Partner +4315238207149 To consultant profile Benefits • Additional Holidays • Beverages • Bicycles / E-Scooters • Cafeteria • Company Doctor • Flexible Working Hours • Food Allowance • Fruit Basket • Healthcare • Modern Office • Sport / Recreation Programs • Team Events • Training & Development Salary range Between EUR 3,900 and EUR 5,000 gross/month (on full-time basis) according to qualifications and experience. Follow the link for the Gross-net calculator . The organization Our client from the betting and gaming industry offers you the opportunity to work in a dynamic, innovative team and design exciting projects with state-of-the-art technologies. Apply now If you are passionate about data protection, you are welcome to take a look at our data protection provisions . Your contact person Theresa Piesinger Recruiting Partner +4315238207149 To consultant profile
Data Engineer (w/m/x) Arbeitgeber: epunkt GmbH
Kontaktperson:
epunkt GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer (w/m/x)
✨Tip Nummer 1
Nutze dein Netzwerk! Sprich mit ehemaligen Kollegen oder Kommilitonen, die bereits in der Branche arbeiten. Sie können dir wertvolle Einblicke geben und möglicherweise sogar eine Empfehlung aussprechen.
✨Tip Nummer 2
Mach dich mit den Technologien vertraut, die in der Stellenanzeige erwähnt werden, insbesondere Apache Flink und Hadoop. Online-Kurse oder Tutorials können dir helfen, deine Kenntnisse aufzufrischen und zu vertiefen.
✨Tip Nummer 3
Bereite dich auf technische Interviews vor, indem du typische Fragen zu Datenmodellierung und ETL-Prozessen übst. Es kann hilfreich sein, Mock-Interviews mit Freunden oder Mentoren durchzuführen.
✨Tip Nummer 4
Zeige deine Leidenschaft für Datenverarbeitung! Teile in deinem Gespräch Beispiele von Projekten, an denen du gearbeitet hast, und erkläre, wie du Herausforderungen gemeistert hast. Das wird deine Begeisterung unterstreichen.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer (w/m/x)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position. Understand the key responsibilities and required qualifications, especially regarding data modeling and technologies like Apache Flink.
Highlight Relevant Experience: In your CV and cover letter, emphasize your practical experience with relational databases, big data technologies, and programming languages mentioned in the job description, such as SQL, Scala, Java, or Python.
Tailor Your Application: Customize your application materials to reflect how your skills and experiences align with the company's needs. Use specific examples that demonstrate your ability to analyze and prepare data, as well as your understanding of high-frequency data processing.
Proofread Your Documents: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
Wie du dich auf ein Vorstellungsgespräch bei epunkt GmbH vorbereitest
✨Understand the Data Landscape
Make sure you have a solid grasp of the data sources and technologies mentioned in the job description, especially Apache Flink, SQL, and Hadoop. Be prepared to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Highlight your experience with ELT/ETL processes and how you ensured data reliability and meaningful insights.
✨Communicate Effectively
As a bridge between data analysts and data scientists, it's crucial to demonstrate your ability to translate technical requirements into actionable solutions. Practice explaining technical concepts in simple terms.
✨Cultural Fit and Flexibility
Research the company's culture and be ready to discuss how your values align with theirs. Emphasize your adaptability and willingness to thrive in a dynamic environment, showcasing any relevant experiences.
