Junior Data Engineer (f/m/d), 30-38.5 hours/week
Do you firmly believe that all-important decisions should be based on data and that the data stream should never be interrupted? Are you passionate about insights? Join our Data & Analytics team!
Here, you will be surrounded by like-minded people developing our data pipelines and improving the data quality. You will conduct requirement analysis and translate requirements into scalable data pipelines.
As a Data Engineer, you will…
* Build and support scalable data pipelines from various sources (API, FTP, streaming, cloud storage buckets, etc.) with data in various formats (JSON, CSV, tab-delimited, XML, etc.),
* Perform web scraping,
* Analyze raw data sources and data transformation requirements,
* Work closely with our Data Analysts & Data Scientists to build enriched data sources for better support of current and future analytical insights,
* Perform ongoing research to explore new features, versions, and related technologies, and provide recommendations to enhance our offerings,
* Create and document functional and technical specifications.
* Thrive with a consistent schedule of three office days per week, ensuring full-time office presence during the first 2-3 months to help you settle in smoothly.
Your Backpack – What to bring to the Valley:
* Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field
* 0-1 years of experience in Data Engineering (DWH, data marts, and related methodologies)
* Understanding of relational database principles, and performance monitoring
* Strong in SQL and Python
* Experience with distributed source control tools and development workflow
* Knowledge of extracting and ingesting data from different sources
* Ability to proactively identify, troubleshoot and resolve live data systems issues
* Be self-driven, and show the ability to deliver on ambiguous projects with incomplete or noisy data
* Working proficiency in English – both written and spoken
Nice to have:
* Experience with GCP environment and strong working knowledge of the platform’s services for supporting data pipelines and analytics
* Experience working in large data warehouse environments (BigQuery) and creating streaming data pipelines
* Proven track record of delivering solutions to a production environment
Excitement — what you can expect from us:
* We're one of the best employers in Austria (Certified as Great Place to Work 2022 and Top Company 2024 by Kununu)
* Power to the nicepeople! We trust each other and work independently.
* Good Food — Soul Mood. Free food with fresh breakfast every morning and a warm lunch made in our own gourmet kitchen.
* Because it is your life! Work from home and with flexible working hours.
* Stay focused and relaxed. Receive discounts on in-office massages and free sessions for fitness training.
* Sustainable mobility. We support eco-friendly transport alternatives with discounted public transport tickets.
* The latest and greatest equipment. We provide the latest software and hardware in our (home) offices.
* Events & Activities. Our legendary summer and Christmas parties as well as company outings.
* Self-care. We offer Instahelp, our anonymous online platform for professional psychological advice.
* A happy child… means a happy parent. We offer up to €1,000 towards childcare every year.
* Employee discounts. Enjoy discounts on our webshops and various other companies.
* Gaining new skills. Our nicecampus offers attractive professional and personal training courses.
* Come on in, feel good, and get started. To ease your transition, an experienced colleague will be your mentor.
* Resolving conflicts. We have a team of confidants to help resolve personal conflicts in the workplace.
* We offer a gross full-time salary starting at € 2.303 per month, depending on your skills and experience.
Diversity is important to us. We welcome applications from all nice people regardless of sex, age, nationality, religion, disability, or sexual orientation.
Are you interested in becoming a part of our team?
Then send us your application. We look forward to hearing from you!
Find everything about data protection here: Data Protection
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