Full Stack Data Engineer | Gothenburg

Veritaz is a fast-growing IT-consultant firm. Our company is made up of insanely bright people from over 4 countries, and we are located in Sweden, UK, US and Pakistan. The voyage has been incredible this far, but it is only the beginning.
We are currently looking for passionate experienced and result-oriented candidates for the role of a Full Stack Data Engineer with a professional background and exemplary concepts to join our team.


Key Responsibilities:
We are looking for a Full Stack Data Engineer with e2e capabilities who can work with data from extraction to presentation.
You will enjoy working with Data & Analytics tools, and you will be able to model multidimensional data sets, create stunning visualisations, and collaborate with stakeholders to answer critical business questions.
You can move between theory and practise, taking on challenges and opportunities as they arise.
The applicant will Design, build, and maintain ongoing data pipelines, metrics, reports, analyses, dashboards, and other tools to help drive key business decisions.
Use your excellent data visualisation skills to tell stories.
Collaborate with technical teams and product owners to collect data, report on it, and act on it.
Create automated data solutions and dashboards that allow users to self-service 80 percent of their data needs, allowing you to focus on answering difficult and ambiguous questions.
Recognize and implement best reporting and analysis practices, such as data integrity, test design, analysis, validation, and documentation.



Education, Expertise, and experience requirements:
The candidate must have 5+ years of relevant work experience in analytics, data engineering, or business intelligence.
Capability to communicate and influence both business and technical teams effectively.
Experience gathering business requirements, extracting data, formulating metrics, and creating reports using industry standard business intelligence tools.
Data visualisation abilities with Power BI (including DAX) and/or Tableau or similar tools.
SQL, data modelling, ETL development (Azure Data Factory, WhereScape), data warehousing (Snowflake), and Azure data lake expertise required.
Azure Data Management Services has provided me with a wealth of experience.
Knowledge of Data and Information Management
Knowledge of the DAMA framework is also required.



Other:
It is advantageous to have prior experience in the automotive industry.
He/she be open to new experiences and comfortable with ambiguity.
Scope: 100%
Language Requirements: Mastery of the English language in both speech and writing is required.
Location: Gothenburg


So, what are you still waiting for? Join us on our adventure!