Data Engineer
Data Engineer
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Job Description
At DATAPAO data ignites passion community fuels collaboration and growth knows no bounds. We are a leading Data Engineering and Data Science consulting company backed by Databricks and recognized for our unmatched delivery standards and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year and have achieved a second consecutive appearance on the Financial Times FT1000 list.
We are currently looking for a well-versed (Senior) Data Engineer to work with our EMEA and US customers and help them solve their data engineering ML and/or ML Ops and cloud migration puzzles.
As aData Engineer you are expected to deliver (across industries) on some of our most complex projects - individually or by leading small delivery teams. Although we work for the biggest multinational companies where years-long behemoth projects are the norm our projects are fast-paced typically 2 to 4 months long. The majority are delivered using Apache Spark/Databricks on AWS/Azure and require you to directly manage the customer relationship alone or along with a Project Manager. Additionally at this seniority level we expect you to compound your impact across the team and the organization - by mentoring more junior engineers evaluating the quality of their work and contributing to hiring best-in-class data engineers.
What does it take to fit the bill
- Consultant mindset & passion for customer experience - you prioritize your work with the customer in mind and you seek to advise (rather than purelyexecute) your customers on the best-in-class technical solutions;
- Excellent communication & presentation skills - you can adjust your communication style and articulate complex technical concepts to all types of audiences;
- Solid software engineering foundations - you are a stack-agnostic senior software engineer have significant experience working on Unix/Linux and a strongunderstanding of how Distributed Systems work. Additionally 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 strongSQL & NoSQL hands-on experience. Exposure to Real-Time Data Processing Systems Apache Spark and/or the Big Data ecosystem is an advantage;
- Mentoring skills & strong predisposition to knowledge-sharing - are things that excite you. We consider ourselves a learning organization and believe thatthese are meaningful tools for one to compound his/her impact across the team and the organization. Thus technical mentoring and/or people management hands-on experience is a big plus;
- You thrive when having to solve problems & take ownership - you solve problems on your own and advise (or coordinate) others on how to do the you love stepping up as a technical lead or identifying organizational gaps and filling them in - being an organizational process or documentation gapa customer communication miss-match or a resource allocation deficiency;
You are fluent in English and willing to travel (mainly in the EU and normally within a short business trip setup) up to 15% of your time.
What do we offer
Educational benefits: Theres no shortage of learning opportunities at DATAPAO meaning that youll 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 well pay for various data & cloud certifications. Youll also get dedicated time for learning during work hours and access to our internal library.
Flexible PTO and Working Hours: Were flexible about your working routine and how many days you take off if it does not conflict with customer success company goals and the work you do.
Flexible Office:It is up to you which days you spend in the office. However as a strong community is one of DATAPAOs value propositions wed expect you to spend one day per week in the office on average.
30 Calendar Days of Paternity Leave (if applicable): We think its essential for both parents to be there when it matters the most.
Private Medical Insurance: We provide a private medical package via Generali.
Employee Assistance Program (EAP): Through EAP we offer our employees access to psychological financial and legal consulting services via phone or in person.
Top-notch working equipment: Working comfortably means working well. Therefore you will get a MacBook 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 youll get the chance to shape the future of a rapidly growing tech company to work with cutting-edge technologies and to help some of the biggest and most innovative companies in the world sort out their data puzzles.
A cozy and modern office in the heart of Budapest: Located in a vibrant central part of the city (Opera/Oktogon) its designed to foster focus creativity and team connection. Youll find open spaces for group work quiet corners for deep thinking and plenty of natural light. Its well-stocked with snacks drinks coffee and beverages. Optional Friday evening beers movie and wine-tasting nights with the team are also on us.
The gross salary for this position ranges from gr. 1.200.000 - 1.700.000 HUF/month for a Medior and from gr. 1.700.000 - 2.300.000 HUF/month for a Senior role depending on your assessed seniority level during the selection process.
Want to know more about us
DATAPAO is a data engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions we also provide data and AI training and enablement.
We are backed by Databricks - the creators of Apache Spark and act as a delivery partner and training provider for them in Europe. 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 Richter Bayer Schufa GetYourGuide TechnoAlpin and Logically 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 even more insights check the links below:
You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at
Were firm 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 dont tick every box in the requirements. If youre passionate about data and learning new things youll fit right in and wed love to hear back from you.
When we hear back from you wed 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.
Employment Type
Full Time
