Data Engineer

LS Retail; Porto; Hybrid; EUR 45,000 - 60,000; Full time

Job summary

LS Retail is seeking a Data Engineer to build and maintain the data platform behind Analytics for LS Central. You will design pipelines, data warehouses and BI objects across Azure, SQL, and scripting tasks.

Collaborate with partners in deploying analytics solutions, bring curiosity for AI and modern data architectures, and communicate effectively in English within a retail-focused environment.

Qualifications

• Experience as a Data Engineer, ideally within Azure.
• Strong SQL and data modelling skills.
• Scripting skills and experience with Infrastructure as Code.
• Good communication skills in English.

Responsibilities

• Build, maintain and implement pipelines in Azure Data Factory.
• Design SQL Server data warehouse objects.
• Automate releases and deployments using Bicep/ARM and PowerShell.
• Configure data flows from Business Central to Azure.
• Support our partners in deploying and configuring the Analytics for LS Central solution.

Skills

Data engineering

Azure familiarity

SQL skills

Data modelling

Scripting

Infrastructure as Code

AI curiosity

Team collaboration

English communication

Tools

Azure Data Factory

SQL Server

PowerShell

Bicep/ARM

Job description

At LS Retail, we believe work should be a place where innovation thrives, flexibility is valued and collaboration comes naturally. We’re a team that gets things done while keeping the energy high, the ideas flowing and the spirit fun.

To keep driving success, we’re looking for an enthusiastic Data Engineer, who is passionate about developing next-generation BI solutions. You will help build and maintain the data platform behind Analytics for LS Central, including data architecture, storage and pipelines.

What you’ll do

• Build, maintain and implement pipelines in Azure Data Factory.
• Design SQL Server data warehouse objects.
• Automate releases and deployments using Bicep/ARM and PowerShell.
• Configure data flows from Business Central to Azure.
• Support our partners in deploying and configuring the Analytics for LS Central solution.

What you’ll bring

• Experience as a Data Engineer, ideally within Azure.
• Knowledge of Azure Data Factory.
• Strong SQL and data modelling skills.
• Scripting skills and experience with Infrastructure as Code.
• Curiosity and motivation to try new things, including AI.
• A collaborative approach and a team-player mindset.
• Good communication skills in English.
• Familiarity with Microsoft Business Central and retail processes would be an advantage.

Do you enjoy building great solutions and working with a talented team? This could be the right opportunity for you! Don’t hesitate to reach out.

LS Retail is committed to gender equality and welcomes applications from candidates of all genders.

Ask us about the awards we have received for being great places to work, and what makes our team environment so special.