Careers

Lead Resident Solutions Architect

Your Role as a Lead Resident Solutions Architect

– You will work with EMEA/US companies and help them solve their data engineering, ML engineering / MLOps, and cloud migration problems. Most of the projects are delivered using Apache Spark / Databricks on AWS / Azure.

– You will work individually on projects and also as a lead of small delivery teams where you will be among the more experienced, if not the most experienced.

– You will directly communicate with clients, manage their expectations and risks and you will oversee the quality of the work of your teammates.

– You will help our team grow by mentoring your colleagues and evaluating technology skills in tech interviews.

Skills you have

– Client Obsession
As a services company, we work with companies who need professional help. When we work with someone, we are all-in on their problems and we go the extra mile to make sure our involvement in our clients’ project will make them successful. We have extremely high client satisfaction rates and we will be keeping it that way. **That’s Datapao priority #1.

– Strong Engineering
Skills The Datapao brand represents flawless Data Engineering and Data Architecture skills matched with a client focus. A strong computer science foundation is essential to deliver well on these projects. Most of our projects require Python, SQL, Unix, and an understanding of Distributed Systems, but Scala pops up sometimes too.

– Full stack, Independent Problem Solving
We mean it. As a boutique company, our team is made up of people who are able to solve problems single-handedly. You might need to set up your own cloud infrastructure before you can start coding and there will be the most unexpected questions coming your way when working with clients. That’s why we need you to do full-stack if and when necessary: from infrastructure through application to keeping in touch with the client. This comes with a lot of responsibilities and even more freedom to make an impact.

– Fluent in English
The majority of the work we do is delivered in Western Europe – remote or onsite – so fluent English is vital.

– Willingness to travel
Some of our projects require your short or medium term onsite presence, mostly in Europe.

What we offer

Transparent, No Bullshit Culture

We are small and growing, which comes with lots of moving parts, so it's vital for us to keep maneuvering and experimenting. This can only be done when all of us work together to keep office politics and bullshit to a zero, and to provide as much transparency as possible.

Extensive Learning Path

Joining Datapao comes with serious educational benefits. You will be admitted to both our and Databricks' public and internal courses, where you will learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks and Cloud Migration from the best experts out there.

Generous, Transparent Bonus System

A very significant part of Datapao's yearly profit is paid out in the form of bonuses. Our Partner System allows employees with significant contributions to receive a generous part of the profit. Our carefully crafted calculation ensures that your bonus is calculated based on a fully transparent formula and is independent of subjective evaluations of the company's success.

Competitive Salary

The salary range depends on your level of seniority: 800 000 HUF to 1 500 000 HUF gross, full-time employment, without tax tricks. The lower part of the range is for an associate-level engineer, the upper level is for senior solutions architects with significant experience with Spark, Databricks and Microsoft Azure.

Downtown Office

Our office is located in the heart of Budapest, at Bem Square, right at the Buda side of Margaret Bridge.

Application process

Apply with your LinkedIn profile, a list of relevant references, and a few lines about why this position is interesting to you. If you know someone at Datapao, feel free to reach out directly. Also, if you have any further questions, feel free to ask.

Contact Us
Azure Cloud Platform Engineer

What you will do

  • You handle strategy, architecture and implementation of big data platforms in a cloud environment.
  • Collaborate with other cross functional teams to design and implement solutions best matching our customer’s needs.
  • You ensure that each service is set up with a high level of security and adheres to governance requirements.
  • You work with different teams on implementing their data projects
  • Manage Azure Private networks and security groups
  • Support clients’ identity and access management needs

Who you are

  • Works on tasks independently with little support from senior engineers.
  • Has experience successfully implementing simple enterprise solutions using a vast range of data engineering technologies. Has experience deploying and using the services in a major cloud platform.
  • Strong knowledge of Cloud technologies, ideally Azure but other cloud provider would work
  • Knowledge of DevOps principles and CI/CD tools – Good understanding of what a good build and deployment pipeline looks like
  • Experience with infrastructure-as-code technologies (Terraform, ARM, CloudFormation)
  • Ability to communicate effectively to a variety of audiences including both technical and non-technical stakeholders.
  • Experience and Strong understanding of Identity and Access Management.
  • You are open to explore and learn about new/other technologies and ecosystems.
  • Ideally you have already worked successfully in client facing environments.
  • Good understanding of Monitoring and Alerting
  • Good scripting skills, e.g., PowerShell/Bash
  • Strong experience of Git based source control
  • You have experience with configuring networking, connectivity and firewalls.
  • Strong programming skills preferably in Python or another high level programming language

Soft Skills you have

  • Client Obsession As a services company, we work with companies who need professional help. When we work with someone, we are all-in on their problems and we go the extra mile to make sure our involvement in our clients’ project will make them successful. We have extremely high client satisfaction rates and we will be keeping it that way. That’s Datapao priority #1.
  • Strong Engineering Skills The Datapao brand represents flawless Data Engineering and Data Architecture skills matched with a client focus. A strong computer science foundation is essential to deliver well on these projects. Most of our projects require Python, SQL, Unix, and an understanding of Distributed Systems, but Scala pops up sometimes too.
  • Full stack, Independent Problem Solving We mean it. As a boutique company, our team is made up of people who are able to solve problems single-handedly. You might need to set up your own cloud infrastructure before you can start coding and there will be the most unexpected questions coming your way when working with clients. That’s why we need you to do full-stack if and when necessary: from infrastructure through application to keeping in touch with the client. This comes with a lot of responsibilities and even more freedom to make an impact.
  • Fluent in English The majority of the work we do is delivered in Western Europe – remote or onsite – so fluent English is vital.
  • Willingness to travel Some of our projects require your short or medium term onsite presence, mostly in Europe.

What we offer

Transparent, No Bullshit Culture

We are small and growing, which comes with lots of moving parts, so it's vital for us to keep maneuvering and experimenting. This can only be done when all of us work together to keep office politics and bullshit to a zero, and to provide as much transparency as possible.

Extensive Learning Path

Joining Datapao comes with serious educational benefits. You will be admitted to both our and Databricks' public and internal courses, where you will learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks and Cloud Migration from the best experts out there.

Generous, Transparent Bonus System

A very significant part of Datapao's yearly profit is paid out in the form of bonuses. Our Partner System allows employees with significant contributions to receive a generous part of the profit. Our carefully crafted calculation ensures that your bonus is calculated based on a fully transparent formula and is independent of subjective evaluations of the company's success.

Competitive Salary

The salary range depends on your level of seniority: 800 000 HUF to 1 500 000 HUF gross, full-time employment, without tax tricks. The lower part of the range is for an associate-level engineer, the upper level is for senior solutions architects with significant experience with Spark, Databricks and Microsoft Azure.

Downtown Office

Our office is located in the heart of Budapest, at Bem Square, right at the Buda side of Margaret Bridge.

Application process

Apply with your LinkedIn profile, a list of relevant references, and a few lines about why this position is interesting to you. If you know someone at Datapao, feel free to reach out directly. Also, if you have any further questions, feel free to ask.

Contact Us
Data Engineer / Spark and Databricks

tl;dr

We are looking for talented engineers to join our team in Budapest to deliver projects in cooperation with Databricks, the leading company in 2021 for Data Science and Machine Learning Platforms.

Great engineering skills, fluent English and a go-getter attitude are a must; expertise in big data systems is a plus but not necessary. In the first months of your employment, we provide all the training for the necessary cloud and big data technologies.

Read on for all the details.

About Datapao

We cater for global firms who want to take their data analytics to the next level. Datapao is a Data and Cloud service company covering full data and cloud transformation journeys from enablement through architecture to implementation. Unlike large global consultancies, Datapao has a single focus and thus unmatched expertise on Data and Cloud technologies.

We are a Delivery Partner of Databricks, creators of Apache Spark. We are also Microsoft Gold Partners, delivering cloud migration and data architecture projects on Azure in cooperation with Microsoft. These partnerships allow us to work with the most prominent companies and to delve really deep into these technologies.

We also act as a training company, providing onsite and online courses globally. We’ve been teaching people and helping the biggest companies improve their data infrastructure. Some of the companies we’ve worked with include Apple, Amazon, Microsoft, T-Mobile, GE, Ericsson and many other renowned financial and tech companies in the world.

Your Role as a Data Engineer

You will work with EMEA/US companies and help them solve their data engineering, ML engineering, and cloud migration problems.

Skills you have

  • Client Obsession As a services company, we work with companies who need professional help. When we work with someone, we are all-in on their problems and we go the extra mile to make sure our involvement in our clients’ project will make them successful. We have extremely high client satisfaction rates and we will be keeping it that way. That’s Datapao priority #1.
  • Strong Engineering Skills The Datapao brand represents flawless Data Engineering and Data Architecture skills matched with a client focus. A strong computer science foundation is essential to deliver well on these projects. Most of our projects require Python, SQL, Unix, and an understanding of Distributed Systems, but Scala pops up sometimes too. Knowledge of Distributed Systems is not a requirement. We are providing all the training for whatever is necessary
  • Full-stack, Independent Problem Solving We mean it. As a boutique company, our team is made up of people who are able to solve problems single-handedly. You might need to set up your own cloud infrastructure before you can start coding and there will be the most unexpected questions coming your way when working with clients. That’s why we need you to do full-stack if and when necessary: from infrastructure through application to keeping in touch with the client. This comes with a lot of responsibilities and even more freedom to make an impact.
  • Fluent in English The majority of the work we do is delivered in Western Europe – remote or onsite – so fluent English is vital.
  • Willingness to travel Some of our projects might require your short term (1-2 days to 1-2 weeks) onsite presence, mostly in Europe.

What we offer

  • Extensive Learning Path Joining Datapao comes with serious educational benefits. You will be admitted to both our own and Databricks’ public and internal advanced courses, where you will learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks and Cloud Migration from the best experts out there.
  • Transparent, No Bullshit Culture We are small and growing, which comes with lots of moving parts, so it’s vital for us to keep manoeuvring and experimenting. This can only be done when all of us work together to keep office politics and bullshit to a zero, and to provide as much transparency as possible.
  • Competitive Salary The salary range depends on your level of seniority: 700 000 HUF to 1 600 000 HUF gross, full-time employment, no tax tricks. The lower part of the range is kept for associate-level engineers, the upper level is for more senior solutions architects with significant experience in Spark, Databricks and Microsoft Azure.
  • Generous, Transparent Bonus System A very significant part of Datapao’s yearly profit is paid out in the form of bonuses. Our Partner System allows employees with significant contributions to receive a generous part of the profit. Our carefully crafted calculation ensures that your bonus is calculated based on a fully transparent formula and is independent of subjective evaluations of the company’s success.
  • Downtown Office Our office is located in the heart of Budapest, at Bem Square, right at the Buda side of Margaret Bridge.

Application process

Apply with your LinkedIn profile, a list of relevant references, and a few lines about why this position is interesting to you. If you know someone at Datapao, feel free to reach out directly. Also, if you have any further questions, feel free to ask.

Contact Us