Senior Data Engineer, 5+ months in Malmö (remote allowed)

Background      

Our client aims to advance its Active Portfolio Management strategy by thoroughly evaluating and enhancing its portfolio, encompassing both commercial retail and non-commercial assets. This initiative is supported and will have leadership provided by the Group Expansion division.

The objective is to seamlessly integrate investment, divestment, and asset management practices into the organization's operations, fostering a more organic approach. Guiding this effort is the Strategic Expansion Process management group.

The scope of the consultant services is to assist in Data Management:

Data Source Evaluation: Assess data sources for relevance, quality, and utilization potential.
Protocol Establishment: Crafting robust protocols for streamlined data utilization.
Asset Analysis: Deep analysis of data assets to optimize resource utilization.
Strategy Development: Tailored data utilization strategies for operational excellence.
KPI Definition: Customized KPIs aligned with organizational goals for precise measurement.
Methodology Establishment: Rigorous methodologies for accurate KPI measurement.
Data-Driven Decision-Making: Empowering stakeholders with data insights for informed choices

Data Visualization:

Unlocking insights from data through immersive visualization techniques, our services include:

Requirement Analysis: Understanding stakeholder needs for tailored visualizations.
Complex Data Translation: Translating intricate data into intuitive formats for decision-making.
Dynamic Dashboard Creation: Crafting dynamic dashboards with tools like Tableau and Power BI.
Visualization Techniques: Selecting appropriate visualization methods for effective communication.
User-Centric Design: Designing user-friendly, responsive dashboards for seamless usage.
Empowering Stakeholders: Facilitating swift comprehension of complex data to drive strategic actions.

Requirements:
Desired knowledge, experience, competence, skills etc 

-          Master of Science degree with 5+ years experience working in big companies.
-          Able to set up data pipelines, define API´s and very skillfull in DB
-          Skills in GCP, Big Query, PowerBI, Python and diversive scripting.
-          Needs to have Microsoft Certificates

What 3 things from the box above are most important?

GCP & Big Query
Data Management
Microsoft Certificates : PowerBI