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- Aufgaben: Join us as a Data Platform Developer focusing on DevOps for exciting projects.
- Arbeitgeber: Work with a major enterprise in the IT Services and Consulting industry.
- Mitarbeitervorteile: Enjoy remote work flexibility with occasional travel and competitive daily rates.
- Warum dieser Job: Be part of a dynamic team, enhancing your skills while making an impact in data engineering.
- Gewünschte Qualifikationen: Strong experience with data frameworks and proficiency in data processing languages required.
- Andere Informationen: Interviews are happening soon, with onboarding as early as March!
Das voraussichtliche Gehalt liegt zwischen 40000 - 60000 € pro Jahr.
My client, a major enterprise Business, is currently seeking a Data Platform Developer with a strong DevOps focus for a long-term project.
This role is largely remote, with very occasional business travel (around 4 days per month) when requested by the customer. Rates are €500-600 per day. The contract will be for 3 months initially plus further extensions.
Required key competencies and qualifications:
- Strong experience with data frameworks
- Proficient with data processing languages
Interviews are happening as soon as next week, and my client is looking to onboard someone as soon as the beginning of March.
If you are interested, please apply with your most up-to-date CV.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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Data Engineer Arbeitgeber: Source Technology
Kontaktperson:
Source Technology HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer
✨Tip Number 1
Make sure to showcase your experience with data frameworks and processing languages during the interview. Be ready to discuss specific projects where you've successfully implemented these technologies.
✨Tip Number 2
Since this role has a strong DevOps focus, familiarize yourself with relevant tools and practices. Highlight any experience you have with CI/CD pipelines or cloud services that can enhance your candidacy.
✨Tip Number 3
Prepare for potential technical assessments by brushing up on your coding skills in data processing languages. Practice common algorithms and data manipulation tasks that may come up during the interview.
✨Tip Number 4
Since the position is largely remote, be ready to discuss how you manage your time and collaborate with teams in a virtual environment. Share examples of how you've successfully worked remotely in the past.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your experience with data frameworks and processing languages. Use specific examples that demonstrate your skills and achievements in these areas.
Highlight DevOps Experience: Since the role has a strong DevOps focus, emphasize any relevant experience you have in this area. Mention tools and methodologies you are familiar with that relate to DevOps practices.
Be Clear and Concise: When writing your application, be clear and concise. Avoid jargon unless it's industry-standard and relevant. Make it easy for the hiring manager to see your qualifications at a glance.
Express Availability: Since the client is looking to onboard someone quickly, make sure to express your availability clearly in your application. Mention your readiness to start as soon as possible.
Wie du dich auf ein Vorstellungsgespräch bei Source Technology vorbereitest
✨Showcase Your Data Framework Expertise
Be prepared to discuss your experience with various data frameworks in detail. Highlight specific projects where you've successfully implemented these frameworks and the impact they had on the overall data processing efficiency.
✨Demonstrate Proficiency in Data Processing Languages
Make sure to brush up on the data processing languages mentioned in the job description. Be ready to provide examples of how you've used these languages in past projects, including any challenges you faced and how you overcame them.
✨Emphasize Your DevOps Focus
Since the role has a strong DevOps focus, be prepared to discuss your experience with CI/CD pipelines, automation tools, and how you've integrated DevOps practices into your data engineering workflows.
✨Prepare for Remote Work Discussion
As this position is largely remote, think about how you manage your time and communication in a remote setting. Be ready to share your strategies for staying productive and connected with team members while working from home.
