United Consult has almost 20 years of experience providing professional IT consulting services for large enterprises in the EU and their projects in the course of business analysis, test management, project QA, project management, software development, operational support and data warehousing, BI and big data developments.
Big Data Department is responsible for converting data to business value. As Gold Partner of Microsoft in Azure Data Analytics and Azure Data Platform and strategic partner of Cloudera this Department provides E2E solutions for our customers including consulting services, solution design, implementation, support and maintenance.
We love challenges and we believe that we create value to our Customers.
The client / the project
We are looking for You as Data Consultant / Data Solution Expert if you would like to work remotely or from a Budapest XI. office on data solutions designed, specified, implemented and maintained by Big Data Department of United Consult.
understanding, creating and review (small to large scale) data architectures
designing and specifying E2E data solutions: including data ingestion, data replication solutions, batch and real time data flows, ETL/ELT processes, database structures, data models, data lakes, data warehouses and data marts on-prem, hybrid or in the cloud
being trusted consultant of our customers in terms of data architectures, data lifecycles and data strategy related questions
supporting sales activities from tech point of view, proof of concept
following trends and technology innovations
Technologies / Skills
a minimum of 3-5 years of experience in data solutions
hands-on programming experience (Python/R/Java or Scala)
good problem solving skills
good work attitude
enthusiasm to work with people
good communications skills in Hungarian and in English
willing to learn
Nice to have:
experience in software architectures
experience in cloud solutions
experience in Hadoop, Big Data solutions
experience in data warehousing and ETL processes
experience in self-service BI solutions (Power BI, Tableau, Qlik, Microstrategy etc.
working on data architectures and you have problem solving attitude
building from scratch motivates you, but you can easily understand and adopt to others’ thoughts
working in different projects with different people on complex solutions
learn quickly and think that knowledge sharing is important to be successful
finding the right tool for a problem is more important than becoming an expert of one of that
like supporting and guiding colleagues (or our customers colleagues) to reach their goals
Why join us
Work in a small team with enthusiastic, motivated, experienced colleagues and cutting edge technologies
Participate in relevant training and certification to acquire and maintain the knowledge to be effective
Our mission and core values match your own and motivate you
Great company environment that is serious about having fun in almost everything we do, including frequent team events and more
Informal, entrepreneurial and flexible atmosphere where thinking out-of-the-box is highly encouraged
What can you expect when you apply?
We have lots of vacancies, take a look at our Career Site and choose the one that best suits your experience and interests. If we don't have one you can still send in your CV and we will find you with an opportunity.
When your resume arrives, we will open a bottle of champagne.
If this part of the selection process is successful the next step is a meeting with the experts in the field.
This is followed by an HR Team interview
If your experience and your qualification match the requirements of the position, Andi, Fanny, Ati, István, or Balázs will contact you within a few days.
Discussion of circumstances
If you perform well in the final part and you liked the project and the partner we will discuss the details.
As soon as we seal the deal we will open another bottle of champagne.
In the team
Welcome on board and we are looking forward to your 1st day.
Who are we looking for?
Data Platform Engineer - 2710
Bash/powershell; IaaS and PaaS; Linux; VMs; Security; Networking