Koerich, Capellen, Luxembourg
Open 3 months, first seen by us 92 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Build ETL/ELT pipelines for batch and streaming data
Integrate structured and unstructured data flows from many sources
Contribute to scalable medallion-architecture designs
Implement cloud data lakehouse and Delta Lake architectures
Share documentation, training and tech updates with the data community
Develop and optimize ETL/ELT pipelines handling both batch and streaming data processing
Integrate diverse data flows seamlessly from various structured and unstructured sources
Contribute to the design of scalable solutions using medallion architecture
Implement advanced cloud-based data architectures like Data Lakehouse and Delta Lake
Animate the Data Community by sharing documentation, training, and tech updates
Experience in regulated environments (e.g., financial services, healthcare, critical infrastructure);
Knowledge of Luxembourg's regulatory environment, including CSSF regulations;
Open 3 monthsWe first saw this posting 92 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 92
Up longer than most. Similar jobs usually come down between day 6 and day 56.
Well past Devoteam’s usual: its jobs come down by about day 22.
From 13,630 similar postings that came down, and 152 of Devoteam’s. Coming down is not always a hire.
44 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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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
- 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;
- 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.
- 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);
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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 we are looking for
Technical skills:
Softskills : Collaborative | Attention to detail | Strong communication | Analytical | Autonomy
Nice to have:
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:
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.
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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