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- Aufgaben: Design and implement data pipelines, optimize performance, and collaborate with a talented team.
- Arbeitgeber: Join a dynamic company focused on creating value-driven custom data solutions.
- Mitarbeitervorteile: Enjoy an inclusive work environment, competitive salary, and opportunities for professional growth.
- Warum dieser Job: Make a real impact in technology while working with over a thousand brilliant minds.
- Gewünschte Qualifikationen: 3+ years as a Data Engineer; expertise in ETL/ELT, Python, SQL, and cloud technologies.
- Andere Informationen: Fluency in German and English required; occasional travel within the DACH region.
Das voraussichtliche Gehalt liegt zwischen 53802 - 75200 € pro Jahr.
What if your passion for technology could make a difference?
We\’re currently looking for a skilled Data Engineer to join our team in designing and building data solutions that meet our clients\‘ dynamic data needs. You will be responsible for assisting in the design and implementation of data architectures, supporting data quality and governance practices, fostering best practices in data engineering, and collaborating with other engineers. You apply your bright ideas, and together with an experienced team of over one thousand brilliant people, you create value-driven custom solutions.
Your daily tasks will include:
- Designing and implementing data pipelines and workflows, ensuring efficient data extraction, transformation, and loading (ETL) processes.
- Monitoring and optimizing data pipeline performance, identifying and resolving bottlenecks to ensure seamless data flow.
- Assisting in designing and developing enterprise-level data architectures to create scalable and efficient data processing pipelines.
- Contributing to the creation of technical roadmaps and data strategies that drive data initiatives.
- Exploring and evaluating new data technologies and methodologies, developing proof-of-concepts to validate their applicability.
- Collaborating with senior engineers, software engineers, data scientists, and analysts to learn data engineering practices, understand data needs, and develop effective solutions.
The following will make you succeed in this role:
- Minimum 3 years of experience as a Data Engineer with an analytical mindset and problem-solving abilities.
- Expertise with: ETL/ELT Tooling, Data Modelling, Data Catalogs, Data Governance.
- Hands-on experience with:
- One of: Python, SQL, Java, Scala, and/or Rust.
- Azure Synapse, Microsoft Fabric, Databricks, dbt.
- Infrastructure as Code.
- Containerization (Docker, Kubernetes).
- CI/CD pipelines and DevOps practices.
We are an equal opportunity employer. We strive to create an inclusive environment where everyone can thrive regardless of their background and circumstances. All applicants receive equal opportunity regardless of age, gender identity or expression, language, disability, ethnicity, national origin, religion, or sexual orientation.
Austria: The law stipulates that the minimum wage must be specified in job postings. The minimum salary is 53.802 euros/year in the collective agreement. Adequate to your skills, we are willing to pay much more.
We will go through your application and come back with feedback.
Any questions? Contact us at
#LI-DNI
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Data Engineer (m/f/x) Arbeitgeber: macio GmbH
Kontaktperson:
macio GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer (m/f/x)
✨Tip Number 1
Familiarize yourself with the specific data technologies mentioned in the job description, such as Azure Synapse and Databricks. Having hands-on experience or even personal projects showcasing these tools can set you apart from other candidates.
✨Tip Number 2
Network with current Data Engineers or professionals in the field through platforms like LinkedIn. Engaging in conversations about their experiences at StudySmarter can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in data engineering by following relevant blogs, attending webinars, or joining online communities. This knowledge can help you discuss innovative ideas during interviews and demonstrate your passion for the field.
✨Tip Number 4
Prepare to discuss your problem-solving abilities and analytical mindset with concrete examples from your past work. Being able to articulate how you've tackled challenges in data engineering will resonate well with our team.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer (m/f/x)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position. Highlight the key responsibilities and required skills, such as ETL processes, data architecture, and programming languages like Python or SQL.
Tailor Your CV: Customize your CV to reflect your experience and skills that align with the job requirements. Emphasize your hands-on experience with relevant tools and technologies mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and data engineering. Mention specific projects or experiences that demonstrate your problem-solving abilities and analytical mindset.
Highlight Language Proficiency: Since fluency in both German and English is required, make sure to clearly state your language skills in your application. If you have any certifications or relevant experiences, include those as well.
Wie du dich auf ein Vorstellungsgespräch bei macio GmbH vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with ETL/ELT tooling and data modeling. Highlight specific projects where you implemented data pipelines or optimized performance, as this will demonstrate your expertise in the field.
✨Demonstrate Problem-Solving Abilities
During the interview, be ready to share examples of how you've tackled complex data challenges. Discuss your analytical mindset and how you've used it to identify and resolve bottlenecks in data processes.
✨Familiarize Yourself with Their Tech Stack
Research the technologies mentioned in the job description, such as Azure Synapse, Databricks, and containerization tools like Docker. Being knowledgeable about these tools will show your genuine interest in the role and your readiness to contribute.
✨Prepare for Collaboration Questions
Since collaboration is key in this role, think of examples where you've worked with other engineers, data scientists, or analysts. Be ready to discuss how you communicated effectively and contributed to team success.
