Data Engineer

Job Title & Reference:

MS Azure senior Data

Engineer

• Context of the mission / Objective(s) of the job
  
  

Our customer is actively searching one data related profile to increase the capacity of its Data Management team. Senior Data engineer In Azure Data environment:

• Analyse and implement ETL’s using Data Factory/mapping Data Flow and store proc when needed,
• Prepare and execute testing activities,
• Design performant solution,
• Contribute to the standards applicable to those ETL’s,
• Review ETL’s implemented by junior data engineers, coaching them as well.
  
  

The candidate will join the Data Management team that is, among others, managing the DWH and the Data Lake of the company, and responsible for the data governance and for the tooling. Architecture, design & implementation are managed within the team.

• Mission period
  
  

Expected Start date: Asap

Duration: 12 months (Depending on project evolution, extension is possible)

• Language requirement
  
  

Languages

Speaking

Reading

Writing

Mandatory

Preferable

English

2

3

3

X

Dutch

3/1

3/1

3/1

X

French

3/1

3/1

3/1

X

1 = Basic – 2 = Good – 3 = Fluent

• Localisation
  
  

Brussels centre (2 days onsite)

• Level of education required
  
  

Master degree in Informatics or equivalent through experience.

• Required Knowledge and Experience
  
  

Personal Skills (soft skills - intangible qualities or traits that enhance our interactions)

Mandatory

• Must work well independently, and in a collaborative team environment
• Solution driven / Pragmatic
• Strong problem solving skills
• Pro-active and flexible
• Strong verbal communications skills
  
  

Preferable

• Client friendly
  
  

Business Experience Required (work Experience)

Mandatory

Years

• Experience with analytics use cases
  
  

Mid-level (2 y - 5 y)

Preferable

• Experience within Insurance or financial domain
• Experience on projects with different technology stacks, integration aspects
  
  

Technical experience required (hard skills related to physical or digital tools)

Mandatory

Years

• Cloud Data platform in Azure
• Devops (Infrastructure as Code, Continuous Integration / Delivery)
• Azure Data Skills (Data Lake Gen2, Synapse)
• Experience in DataBricks
• Experience in Data Factory
• Experience in Python
• Knowledge of pipes principles and developments
• Experience in Data Flow
• Knowledge about Data Management: metadata management, lineage, data quality principles
  
  

Mid-level (2 y - 5 y)

Mid-level (2 y - 5 y)

Mid-level (2 y - 5 y)

Mid-level (2 y - 5 y)

Mid-level (2 y - 5 y)

Mid-level (2 y - 5 y)

Mid-level (2 y - 5 y)

Mid-level (2 y - 5 y)

Mid-level (2 y - 5 y)

Preferable

Years

• Knowledge about dashboarding, Power BI
  
  

Junior (0 y - 2 y)

Functional experience required (job experience in particular industry and in particular function)

Mandatory

Years

• Database modelling via modelling tools such as Erwin or Visio
• Ability to interact with Business teams and gather Business Requirements
• Ability to translate Business Requirements into functional & technical Requirements
  
  

Junior (0 y - 2 y)

Junior (0 y - 2 y)

• Objectives of the job
  
  

3 main axis

• Implementation of BI Business projects,
• Quality assurance on ETL’s,
• Coaching of junior data engineers.
  
  

Referentie:

CV Uploaden*

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