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Senior Data Engineer

Koerich, Capellen, Luxembourg

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Employment
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Apply at Devoteam

What you’ll work on

Full posting
  • You will work in a dynamic environment, tackling complex data challenges and collaborating with cross-functional teams to deliver scalable, high-performance solutions.

  • Build: Develop and optimize ETL/ELT pipelines handling both batch and streaming data processing;

  • Design: Contribute to the design of scalable solutions using medallion architecture to ensure high quality and performance;

From the employer’s posting
Job Description We are looking for a Senior Data Engineer to join our Innovative Tech department. In this role, you will be responsible for designing, building, and optimizing robust data architectures that empower our clients to leverage their data effectively. You will work in a dynamic environment, tackling complex data challenges and collaborating with cross-functional teams to deliver scalable, high-performance solutions. What you will do:
What you will do: Build: Develop and optimize ETL/ELT pipelines handling both batch and streaming data processing; Bridge the sources: Integrate diverse data flows seamlessly from various structured and unstructured sources;
Bridge the sources: Integrate diverse data flows seamlessly from various structured and unstructured sources; Design: Contribute to the design of scalable solutions using medallion architecture to ensure high quality and performance; Modernize the stack: Implement advanced cloud-based data architectures like Data Lakehouse and Delta Lake;

What you’ll bring

All qualifications

Core experience

  • Experience in regulated environments (e.g., financial services, healthcare, critical infrastructure);
  • Knowledge of Luxembourg's regulatory environment, including CSSF regulations;
Qualification wording
Experience in regulated environments (e.g., financial services, healthcare, critical infrastructure);
Knowledge of Luxembourg's regulatory environment, including CSSF regulations;

Tools in this posting

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • Delta
  • Google Cloud (GCP)
  • Kafka
  • MongoDB
  • PostgreSQL
  • S3
  • Snowflake
  • Spark
  • Airflow
  • PyTorch
  • TensorFlow
  • Hadoop
  • Kubernetes
  • scikit-learn
Source — Tool mentions in context
Technical skills: - Core languages: Proficient in Python with strong SQL expertise; - Distributed processing: Spark (batch & streaming), Hadoop;
- Modern architectures: trong knowledge of real-time architectures (e.g., Debezium) and databases like PostgreSQL, MongoDB, or Cassandra; - Cloud native: Strong experience with Databricks, Snowflake, GCP, or AWS is a major asset. - Fluent in both English and French (spoken and written)
Join a community where technology meets humanity. We believe that a job should be more than just a to-do list; it should be a place where you grow, connect, and make an impact. With us, you will find: - 🚀 A playground for innovation: You will work with the latest Microsoft tech (Fabric, Copilot, Azure AI) to build future-proof solutions. This is your chance to stay ahead of the curve. - 🤝 A culture of connection: We are 140+ tech enthusiasts from 30+ countries. We don't just work together; we celebrate diversity and win together.
- Design: Contribute to the design of scalable solutions using medallion architecture to ensure high quality and performance; - Modernize the stack: Implement advanced cloud-based data architectures like Data Lakehouse and Delta Lake; - Innovate: Evaluate emerging technologies and architectural patterns to continuously upgrade our infrastructure;
- Orchestration: Workflow orchestration and GitOps: Airflow, Kubernetes-native pipelines; - Lakehouse expertise: Iceberg, Delta Lake, Parquet, S3 / MinIO, Polaris Catalog; - Real-time data processing: Kafka, Spark Streaming, Flink;
- Knowledge of Luxembourg's regulatory environment, including CSSF regulations; - Certifications: Google Cloud Professional Data Engineer or Google Cloud Machine Learning Engineer. Additional Information
- Lakehouse expertise: Iceberg, Delta Lake, Parquet, S3 / MinIO, Polaris Catalog; - Real-time data processing: Kafka, Spark Streaming, Flink; - Modern architectures: trong knowledge of real-time architectures (e.g., Debezium) and databases like PostgreSQL, MongoDB, or Cassandra;
- Real-time data processing: Kafka, Spark Streaming, Flink; - Modern architectures: trong knowledge of real-time architectures (e.g., Debezium) and databases like PostgreSQL, MongoDB, or Cassandra; - Cloud native: Strong experience with Databricks, Snowflake, GCP, or AWS is a major asset.
- Distributed processing: Spark (batch & streaming), Hadoop; - Orchestration: Workflow orchestration and GitOps: Airflow, Kubernetes-native pipelines; - Lakehouse expertise: Iceberg, Delta Lake, Parquet, S3 / MinIO, Polaris Catalog;
- AI and Machine Learning: Developing and deploying machine learning models; - AI frameworks and libraries (TensorFlow, PyTorch, and Scikit-learn); - Experience in regulated environments (e.g., financial services, healthcare, critical infrastructure);
- Core languages: Proficient in Python with strong SQL expertise; - Distributed processing: Spark (batch & streaming), Hadoop; - Orchestration: Workflow orchestration and GitOps: Airflow, Kubernetes-native pipelines;

Job description

View original posting ↗

Job Description

We are looking for a Senior Data Engineer to join our Innovative Tech department. In this role, you will be responsible for designing, building, and optimizing robust data architectures that empower our clients to leverage their data effectively. You will work in a dynamic environment, tackling complex data challenges and collaborating with cross-functional teams to deliver scalable, high-performance solutions.

What you will do:

  • Build: Develop and optimize ETL/ELT pipelines handling both batch and streaming data processing;
  • Bridge the sources: Integrate diverse data flows seamlessly from various structured and unstructured sources;
  • Design: Contribute to the design of scalable solutions using medallion architecture to ensure high quality and performance;
  • Modernize the stack: Implement advanced cloud-based data architectures like Data Lakehouse and Delta Lake;
  • Innovate: Evaluate emerging technologies and architectural patterns to continuously upgrade our infrastructure;
  • Guarantee quality: Ensure strict adherence to data security, governance, and performance standards;
  • Solve the complex: Tackle difficult data challenges to ensure the reliability of multiple distributed systems;
  • Share the knowledge: Animate the Data Community by sharing documentation, training, and tech updates;
  • Collaborate: Work closely with Data Science, BI, Product, and Architecture teams to align on goals.

Qualifications

What we are looking for

Technical skills:

  • Core languages: Proficient in Python with strong SQL expertise;
  • Distributed processing: Spark (batch & streaming), Hadoop;
  • Orchestration: Workflow orchestration and GitOps: Airflow, Kubernetes-native pipelines;
  • Lakehouse expertise: Iceberg, Delta Lake, Parquet, S3 / MinIO, Polaris Catalog;
  • Real-time data processing: Kafka, Spark Streaming, Flink;
  • Modern architectures: trong knowledge of real-time architectures (e.g., Debezium) and databases like PostgreSQL, MongoDB, or Cassandra;
  • Cloud native: Strong experience with Databricks, Snowflake, GCP, or AWS is a major asset.
  • Fluent in both English and French (spoken and written)

Softskills : Collaborative | Attention to detail | Strong communication | Analytical | Autonomy

Nice to have:

  • AI and Machine Learning: Developing and deploying machine learning models;
  • AI frameworks and libraries (TensorFlow, PyTorch, and Scikit-learn);
  • Experience in regulated environments (e.g., financial services, healthcare, critical infrastructure);
  • Knowledge of Luxembourg's regulatory environment, including CSSF regulations;
  • Certifications: Google Cloud Professional Data Engineer or Google Cloud Machine Learning Engineer.

Additional Information

Life at Devoteam ✨

Join a community where technology meets humanity. We believe that a job should be more than just a to-do list; it should be a place where you grow, connect, and make an impact. With us, you will find: 

  • 🚀 A playground for innovation: You will work with the latest Microsoft tech (Fabric, Copilot, Azure AI) to build future-proof solutions. This is your chance to stay ahead of the curve.
  • 🤝 A culture of connection: We are 140+ tech enthusiasts from 30+ countries. We don't just work together; we celebrate diversity and win together.
  • 📈 Continous growth: Between our Training Center, certifications, and mentoring, we take your development seriously. Your ambition sets the pace.
  • 🌱 Meaningful impact: Through the Devoteam Foundation, your skills can serve social causes and sustainability initiatives.

Who thrives here? 💡

We are looking for problem-solvers who turn challenges into elegant solutions and curious minds who never stop learning. If you love combining deep technical work with human interaction, you will fit right in.

Devoteam stands for equal opportunities. We are convinced that diversity contributes to the creativity, dynamism, and excellence of our organization. All our positions are open to people with disabilities.

Company Description

Devoteam is an AI-driven tech consulting firm specialized in cloud platforms, cyber, data, and sustainability. Tech native for almost 30 years, we guide businesses through sustainable digital transformation to deliver value.

Present in more than 25 countries across Europe, the Middle East, and Africa with over 11,500 collaborators, Devoteam is committed to using technology to serve people.

Part of a regional Benelux entity,  Luxembourg has a local workforce of almost 150 professionals, including an Innovative Tech Department: a focused group of around 40 specialists in cutting-edge technologies. Embracing a vendor-agnostic approach, this team cultivates deep expertise across diverse cloud providers, open-source technologies, and other innovative tools, enabling us to craft tailored solutions that best fit our clients' needs.

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Koerich, Capellen, Luxembourg

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First seen by us
Aug 13, 2026
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Last seen by us
Oct 11, 2026
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Aug 11, 2026

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