Data Engineer – Rejoins une entreprise AI native at SFEIR

Luxembourg

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Proficiency in designing and maintaining modern, scalable data pipelines (Spark, Hadoop, Kafka, etc.)
Experience building data architectures for AI and GenAI valorization
Skills in data transformation projects (ingestion, real-time processing, modeling, governance)
Proficiency in Python or Scala for manipulating and enriching datasets
Ability to use AI as a copilot (augmented data exploration, task automation, code generation)

Responsibilities

Design and maintain modern, scalable data pipelines (Spark, Hadoop, Kafka, etc.)
Build data architectures enabling AI and GenAI valorization
Work on data transformation projects (ingestion, real-time processing, modeling, governance)
Use Python or Scala to manipulate and enrich datasets
Leverage AI as a copilot for faster and better work (data exploration, automation, code generation)

Skills

Key technologies and capabilities for this role

Data EngineeringGenerative AILLMsGPTClaudeGeminiMistralGoogle CloudAWSMicroservicesAPIsCloud

Questions & Answers

Common questions about this position

What is the employment type for this Data Engineer position?

The position is a CDI (permanent contract).

Where is this Data Engineer role based?

The role is based in Luxembourg with local missions and stylish offices near the central train station.

What key skills are required for the Data Engineer role?

Required skills include designing scalable data pipelines with Spark, Hadoop, Kafka; using Python or Scala for data manipulation; building AI-ready data architectures; and working on data transformation projects including real-time processing and governance.

What is the company culture like at SFEIR Luxembourg?

SFEIR Luxembourg features a small, close-knit team of about 100 developers, an AI-native environment using their RAISE GenAI platform, a flat and agile organization, active tech scene with conferences and meetups, and a focus on learning and sharing through SFEIR Institute and partnerships.

What makes a strong candidate for this Data Engineer position?

Strong candidates have experience with modern data pipelines (Spark, Hadoop, Kafka), proficiency in Python or Scala, skills in data transformation projects, and comfort using AI as a copilot for data exploration and automation.

SFEIR

Digital strategy and technology consulting firm

About SFEIR

SFEIR helps businesses with their digital transformation by providing specialized consulting services in technology. The company focuses on developing both front-end and back-end applications, offering cloud solutions, and implementing Site Reliability Engineering (SRE), data management, and machine learning. SFEIR operates as a Google Cloud Partner of the Year, which showcases its expertise in cloud services. Unlike many competitors, SFEIR emphasizes a community of developers who engage in continuous learning and knowledge sharing. The company also runs the SFEIR Institute, which offers tailored training programs to ensure clients' teams are proficient in the latest digital tools. The main goal of SFEIR is to make technology easy to use and beneficial for businesses, helping them modernize their operations and achieve their digital transformation objectives.

Neuilly-sur-Seine, FranceHeadquarters

1985Year Founded

ACQUISITIONCompany Stage

Data & Analytics, Consulting, AI & Machine LearningIndustries

501-1,000Employees