Our client is looking for a Data Engineer
Context
Data is a key enabler of the company's overarching strategy.
The company has set up a program called “Smart Data Factory” (SmDF) to support & facilitate decision-making & digitalization within the group. The data platform integrates internal data from cross-functional business systems as well as relevant external sources with a view to deliver Data Products to all areas of the business.
Our architecture:
- Our infrastructure is mainly Azure-based,
- We are migrating from TimeXtender as data warehouse and integration platform to Databricks and scaling Databricks towards Advanced analytics and AI
- We use PowerBI as business analytics service
Considering the growing number of business requests, our client is actively looking for a data engineer that will participate to the analysis & implementation of data warehouses, datamarts and visuals. This also involves the definition & setup of data sources & related connections.
Purpose
Responsibilities are:
- Analyse business requirements and detail functional and technical requirements
- Identify and setup required data sources,
- Develop data staging approaches, model and produce datamarts by challenging and implementing functional & technical requirements ensuring semantic coherence,
- Pay attention to non-functional requirements: security, maintainability, performance, …
- As the PowerBI visuals implementation by business is privileged, be able to train and support business users in the usage of produced datamarts,
- Depending on business maturity:
- Develop PowerBI visuals,
- Provide support and training to business users so that the delivered visuals are correctly and actively used,
- Provide training, coaching and support to the business that implement PowerBI visuals themselves (participating to the ‘Digital Dexterity’ and ‘Data Literacy’ objectives),
- Perform all above activities in collaboration with other Digital teams in coherence with Digital processes and architectural landscape,
- Respect and follow all guidelines and practices in the field of BI Reporting, ? Respect priorities and timing of the projects’ plans.
Soft Skills
We pay close attention to people's soft skills:
- Be aligned with the company values be respectful, open & reliable,
- Driven with a high sense of ownership,
- Team player,
- Curious and eager to learn,
- Ability to work with business people,
- Ability to communicate concepts and recommendations to both technical & non-technical audience with simple and appropriate language (popularisation),
- Active listening aptitudes,
- Capable of working independently but in sync with the team,
- Ability to manage expectations in collaboration with the program manager,
Data Analytics skills
We require:
- Superior SQL skills
- Knowledge of Ralph Kimball’s dimensional modelling with proven experience, and general data modelling capabilities,
- Good knowledge of PowerBI,
- Good Databricks and Data Lakehouse knowledges,
- Knowledge of Azure analytics suite tools (Azure Data Factory, Azure Data Lake, Azure SQL),
- Good knowledge of Python,
- Good knowledge of SQL (mainly DML),
Besides that, also having knowledge of the following concepts or tools will be considered as a plus:
- Modelling tool Sparx Enterprise Architect,
- Agile practices (Scrum),
- Azure DevOps, Git, CI/CD,
- Spark Knowledge,
- Data science knowledge,
- TimeXtender (data warehouse automation),
- High level knowledge of SAP
Business Expertise
Previous experience in the energy sector would be considered as a plus.
Languages
- You are French or Dutch native speaking,
- Good understanding (reading and listening) in the other national language & in English (B1 or higher)
