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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: Work 50-60% from home with a competitive salary range of €3,900 - €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 und Big Data in Gesprächen. Teile Beispiele von Projekten, an denen du gearbeitet hast, um deine praktische Erfahrung zu demonstrieren und dein Interesse zu 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, such as data modeling and working with technologies like Apache Flink and SQL.
Highlight Relevant Experience: In your CV and cover letter, emphasize your practical experience with data modeling, relational databases, and big data technologies. Mention specific projects or tasks where you utilized these skills.
Showcase Technical Skills: Clearly list your technical skills related to the job, including programming languages (Scala, Java, Python), and tools (Apache Hadoop, Kafka, NiFi). Provide examples of how you've applied these in past roles.
Craft a Tailored Cover Letter: Write a personalized cover letter that connects your background and interests with the company's culture and the specific requirements of the Data Engineer role. Express your enthusiasm for high-frequency data processing and working in a dynamic team.
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 data or developed ELT/ETL processes. Use the STAR method (Situation, Task, Action, Result) to structure your responses and demonstrate your analytical thinking.
✨Communicate Effectively
Since you'll be acting as a bridge between data analysts and data scientists, it's crucial to showcase your communication skills. Practice explaining complex technical concepts in simple terms, as this will be key in your role.
✨Cultural Fit and Flexibility
Research the company's culture and values, emphasizing your adaptability and willingness to thrive in a dynamic environment. Be ready to discuss how you can contribute to their open-minded culture and diverse team.
