Big Data
Senior Analytics Engineer – 5006

About us

What is 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 soft skill training, team-building, 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!

 

The client / the project

We are seeking a highly skilled Senior Analytics Engineer with advanced expertise in data modeling and analytics. The ideal candidate will have experience working with medium to complex data structures in a corporate environment.

Responsibilities

  • Collaborate effectively in virtual teams, proactively bringing solution ideas to the team.
  • Self-manage workload and prioritize tasks efficiently.
  • Devote a portion of your work to knowledge sharing with junior staff members through pairing

Technologies / Skills

  • Advanced Data Modeling: Extensive experience in designing and implementing complex data models, with a strong understanding of normalization, denormalization and schema designs such as star schema and snowflake schema.
  • Ingestion Processes: Proficiency in developing and optimizing EL (Extract and Load) processes using ADF (Azure Data Factory).
  • Data Wrangling Processes: Proficiency in developing and optimizing DBT (Data Build Tool) models, including data testing, unit testing and macros.
  • Data Warehousing: In-depth knowledge of data warehousing concepts and best practices, particularly with Snowflake, including optimization strategies, query tuning, clustering, and others.
  • Visualization Expertise: Advanced skills in creating interactive and insightful dashboards and reports using Power BI with DAX, including designing and maintaining semantic models.
  • Programming Languages: Proficiency in SQL and Python for data manipulation, analysis, and automations.
  • Cloud Platforms: Experience with Azure, particularly in relation to data storage, access management, integration, and processing.
  • Data Governance: Understanding of data governance/data management principles, including data quality, security, cataloguing, and documentation.

Advantages

  • AI and Machine Learning: Experience with AI and machine learning models, including the ability to work with related data sets.
  • Project Management: Experience in managing data projects, including planning, execution, and delivery.
  • Certifications: Relevant certifications such as Snowflake SnowPro Core Certification, DP-900: Azure Data Fundamentals, DP-203: Azure Data Engineer Associate, or similar.
  • Soft Skills: Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Mentorship: Proven track record of mentoring and developing junior team members.

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 your experience and your qualification match the requirements of the position, we will contact you within a few days.

3

HR interview

This is followed by an HR Team interview

4

Professional conversation

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

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