Live opening · Posted 7 hours ago

Senior Spark Developer (m/f)

ARHS · Luxembourg, Luxembourg, Luxembourg
Smartrecruiters No Full-time
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At a glance

The key details from the original listing.

Posted 7 hours ago
CompanyARHS
LocationLuxembourg, Luxembourg, Luxembourg
Job typeFull-time
Work modeNo
SkillsPower BI
SourceSmartrecruiters
Listed7 hours ago

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About the role

Description supplied by the original job listing.

ARHS Group, part of Accenture, is looking for a Senior Spark Developer to join one of our client teams onsite in Luxembourg within a European institutional environment.
In this role, you will contribute to the development and optimization of data solutions, working with Apache Spark, Microsoft Fabric, and Power BI to support data processing, analytics, and reporting needs.
THE WORK:
Design, develop, and maintain data processing solutions using Apache Spark.
Build and optimize data pipelines for large-scale data processing and analytics.
Develop and maintain data solutions using Microsoft Fabric.
Support reporting and data visualization activities using Power BI.
Optimize data processing performance, reliability, and data quality.
Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions.
Troubleshoot data and performance-related issues and contribute to continuous improvements.
Onsite at client site: This role requires an onsite presence with our clients and partners to support project delivery and strengthen collaboration.
Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
HERE’S WHAT YOU’LL NEED:
Strong professional experience with Apache Spark and large-scale data processing.
Experience with Microsoft Fabric and modern data platforms.
Good experience with Power BI and reporting solutions.
Strong knowledge of SQL and data modelling.
Experience designing and developing data pipelines.
Good understanding of data quality, performance optimization, and troubleshooting.
Strong analytical and problem-solving skills.
Fluency in English.
As part of our security and compliance procedures, candidates will be required to undergo a criminal background check prior to employment.

Employment type
Full-time

Work arrangement
No

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