(Senior) Technical Instructor (Databricks)
At DATAPAO, we are on a mission: to make data work. In doing so, we are building a one-of-a-kind Data Engineering and Data Science consulting company covering the full data journey - from enablement, through architecture, to implementation. But don't just take our word for it.
- Teaching - you have an ambition and inner drive toward teaching, and you come in with previous teaching and/or training delivery experience;
- Excellent communication & presentation skills - you can adjust your communication style, and articulate complex, technical concepts to all types of audiences;
- You are (business) fluent in English and willing to travel (mainly in the EU and normally within a short business trip setup) up to 20% of your time;
- Solid software engineering foundations - you are a stack-agnostic engineer, you are familiar with (and keen to follow) best-in-class software engineering principles;
- Data & Cloud are part of your engineering journey - you played a role in teams that designed and implemented data-intensive applications and you have strong SQL & NoSQL hands-on experience. Exposure to Real-Time Data Processing Systems, Apache Spark, and/or the Big Data ecosystem is an advantage;
- We provide training in the following fields: Data Engineering, Data Science, Machine Learning and Deep Learning.
- World-class educational benefits - there’s no shortage of learning opportunities at DATAPAO meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications, you'll get dedicated time for learning during work hours, and access to our internal library;
- Flexible PTO days: We’re flexible with how many days you take off if that does not conflict with customer success and the work getting done! Additionally, we offer 30 calendar days of paternity leave, and it is up to you how many days you spend in the office. However, as a senior who sometimes needs to mentor others, we’d expect you to spend at least some face-to-face time with your team or mentees weekly;
- Private Medical Insurance - we provide a private medical package via Generali;
- Top-notch working equipment - working comfortably means working well, therefore you will get a MacBook Pro, a Herman Miller office chair, standing desks in the office, and whatever else is needed to give your best;
- The chance to make an impact in a high transparency culture - open feedback and a no politics environment are things we value a lot at DATAPAO. Additionally, you'll get the chance to shape the future of a rapidly growing tech company (we had grown 3X in 2022), to work with cutting-edge technologies, and to help some of the biggest and most innovative companies in the world to sort out their data puzzles;
- A cozy office in the heart of Budapest (close to Oktogon), well-stocked with snacks, drinks, coffee, and beverages. Optional Friday evening beers, movie, and wine-tasting nights with the team are on us also!
About DATAPAO
At DATAPAO we are delivery partners and the preferred training provider for Databricks, the creators of Apache Spark. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies such as Norsk-Hydro, Johnson&Johnson, Richter, Bayer, Shell, Essity, and Vonage to name just a few.
As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data.For more insights into DATAPAO, check the below links:
- Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema (EN) by Máté Gulyás (2021, Spark AI Summit)
- Real Time Predictions on the Factory Floor (EN) by Máté Gulyás (2018, Spark Summit EU)
- Modern adat platformok (HU) by Máté Gulyás (2019, AWSome Day
- Productionising Machine Learning models (EN) by Máté Gulyás (2023, Mndwrk Event)
- Amit senki sem mond el egy AI-projektről (HU) by Máté Gulyás (2019, HWSW Mobile! conference)
You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at jobs@datapao.com
We’re strong believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you’re passionate about data and learning new things, you’ll fit right in, and we'd love to hear back from you.
When we hear back from you, we'd like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except the ones we use to run our recruitment process) and keep your application for two years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application.
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