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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 with experience in data modeling, SQL, and big data technologies like Apache Flink required.
- Andere Informationen: Work 50-60% from home with a competitive salary between €3,900 and €5,000.
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 relevante Projekte oder Erfahrungen in deinem Lebenslauf oder während des Gesprächs, um zu demonstrieren, dass du wirklich an der Position interessiert bist.
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.
Tailor Your CV: Customize your CV to highlight relevant experience in data engineering, particularly with relational databases and big data technologies. Emphasize your skills in SQL, Apache Hadoop, and programming languages such as Scala, Java, or Python.
Craft a Strong Cover Letter: Write a cover letter that connects your background and skills to the specific requirements of the job. Mention your interest in high-frequency data processing and how you can contribute to the team.
Highlight Soft Skills: In addition to technical skills, emphasize your ability to work collaboratively as an interface between data analysts and data scientists. Showcase your communication skills and adaptability in a dynamic corporate culture.
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 your experience with these tools and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
During the interview, highlight specific examples where you've successfully modeled and developed ELT/ETL data flows. Discuss any challenges you faced and how you overcame them, as this will demonstrate your analytical thinking and technical expertise.
✨Communicate Effectively
Since you'll be acting as an interface between data analysts and data scientists, practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between different teams and ensure everyone is on the same page.
✨Emphasize Your Adaptability
The company values a dynamic corporate culture, so be ready to discuss how you've adapted to changes in technology or project requirements in the past. Share examples of how you've embraced new tools or methodologies to improve your work.
