Big Data
Data Engineer – 4526

About us

What is it like to work in UC colors? One thing is for sure, all 350+ of our colleagues would say the same: unique and unrepeatable. Professional and language training, soft skill training, team-building abroad and at home, IT Fest, Balaton Circle on two wheels or two feet, kUCkó aka UC wellness centre, themed craft afternoons, charity painting. Be a part of this experience of a lifetime!

Responsibilities

  • Design and develop data solutions: Create and optimize scalable data pipelines, ETL processes, and integration workflows.
  • Collaborate with stakeholders: Work closely with business and technical teams to understand data requirements and provide effective solutions.
  • Implement BI tools and dashboards: Develop and maintain reports, dashboards, and visualizations using Power BI, Tableau, or similar tools.
  • Ensure data quality and reliability: Monitor, troubleshoot, and optimize data processes to maintain data accuracy and performance.
  • Leverage cloud platforms: Utilize Azure or AWS services for data storage, processing, and analytics.
  • Support analytics initiatives: Build and maintain the data infrastructure needed for advanced analytics and reporting.
  • Stay up-to-date with industry trends: Continuously explore new tools and technologies to enhance the data engineering processes.

Technologies / Skills

  • Strong knowledge of SQL: Confident in database management and query development.
  • Development of Data Integration and ETL solutions: Experience with tools like Microsoft SSIS or Azure is preferred.
  • Business Intelligence tools: Proficiency in tools such as Power BI, SSRS, SSAS, or Tableau.
  • Programming skills: Proficiency in Python is preferred.
  • Cloud fundamentals: Experience with Azure or AWS.
  • Data pipeline and analytics architectures: Knowledge of building and maintaining data pipelines and analytics solutions.
  • Language skills: Fluent in written and spoken English.

Advantages

  • Experience with Snowflake.
  • Familiarity with Azure Data Factory.
  • Knowledge of SAP BODS.
  • Understanding of DevOps fundamentals.

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

Interested in details

File type: pdf, doc, docx

Selection Process
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.

1

CV

When your resume arrives, we will open a bottle of champagne.

2

Personal contact

If this part of the selection process is successful the next step is a meeting with the experts in the field.

3

HR interview

This is followed by an HR Team interview

4

Professional conversation

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.

5

Discussion of circumstances

If you perform well in the final part and you liked the project and the partner we will discuss the details.

6

Agreement

As soon as we seal the deal we will open another bottle of champagne.

7

In the team

Welcome on board and we are looking forward to your 1st day.

Who are we looking for?

Join our team

We would love to see your CV for not announced positions

Send CV