Dbt Analytics Engineer - European Commission

NTT DATA Europe & Latam; Brussel Hoofdstad; Sur place; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

International environment

Competitive compensation packages

Résumé du poste

NTT DATA Europe & Latam is seeking a skilled Dbt Analytics Engineer to support European Commission data projects in Brussels. You will design transformation pipelines, optimise dbt projects and implement robust data quality checks.

You will collaborate with data engineers, analysts and stakeholders to translate business requirements into scalable, well-governed analytics solutions, leveraging dbt, Spark and Iceberg in an international setting.

Qualifications

• Hands-on dbt Core in production, capable of designing, maintaining, testing and documenting modular analytics transformations.
• Strong analytics engineering background with modern data modeling and CI/CD for dbt projects.
• Advanced SQL for complex transformations, performance and incremental processing.
• Experience with PySpark for large-scale data processing and Spark optimisation.
• Good knowledge of data validation and testing, including quality controls and reconciliation.

Responsabilités

• Design and develop transformation pipelines for scalable data workflows.
• Optimise the execution time of dbt projects.
• Document data quality checks and control tests using dbt.
• Set up automated regression tests and validation for outputs.
• Share best practices for evolving dbt projects.
• Translate business analysis into operational transformation pipelines.

Connaissances

dbt Core

SQL

PySpark

Spark

Iceberg

Data modeling

CI/CD

Git workflows

ETL pipelines

Documentation

Formation

EQF Level 6+ in CS/IT/SE

Outils

dbt Core

Apache Spark

Dagster

Iceberg

Git

Description du poste

Join the Team as Dbt Analytics Engineer - European Commission

As a Dbt Analytics Engineer, these are the main tasks that you'll be responsible for:

• Design and develop transformation pipelines for scalable and reliable data workflows.
• Optimise the execution time of dbt projects.
• Design, implement and document data quality checks and control tests using dbt functionalities.
• Set up automated regression tests and validation procedures for pipeline outputs.
• Introduce and share best practices for managing and evolving dbt projects.
• Interpret business analysis documents and translate them into operational transformation pipelines.

What You'll Bring

Technical Skills

• Hands-on expertise with dbt, preferably dbt Core, in production environments. You can design, maintain, test, document and extend modular analytics transformation projects.
• Strong experience in analytics engineering and modern data modelling. This includes layered architectures such as staging, intermediate and marts, as well as reusable macros, data quality controls and CI/CD for dbt projects.
• Strong SQL skills for complex transformations, performance optimisation and incremental processing.
• Practical experience developing PySpark transformation scripts for large-scale data processing. Spark job optimisation is an advantage.
• Good understanding of Apache Spark execution, partitioning strategies, file layout optimisation and performance tuning in distributed data environments.
• Proven experience with Apache Iceberg tables, including partition and schema evolution, snapshot management and time travel. Knowledge of compaction strategies, transaction behaviour and performance implications is an advantage.
• Strong knowledge of data validation, reconciliation and testing. You can ensure functional equivalence when migrating from legacy proprietary software to dbt and PySpark.
• Familiarity with Git-based workflows, code reviews, release management and automated deployment pipelines.
• Experience with job orchestration and scheduling tools, such as Apache Spark and Dagster, for running dbt and Spark workloads in enterprise environments.
• Ability to produce clear technical documentation. This should cover transformation logic, migration decisions, table behaviour, operational procedures and support handover.
• Ability to work with data engineers, analysts, business stakeholders and platform teams. You can translate legacy logic into scalable and well-governed modern data transformations.
• Knowledge of SAS-based ETL and the ability to understand legacy codebases are strong advantages. Experience migrating SAS workflows to dbt is also highly valued.
• EQF Level 6 or higher in Computer Science, Information Technology, Systems Engineering or another relevant field.
• Strong problem-solving and analytical skills.
• Strong organisational and time-management skills.
• Strong team spirit and the ability to work effectively in a collaborative team.
• Ability to integrate into an international and multi-cultural environment.
• Excellent communication skills, including the ability to explain complex technical concepts clearly.
• Attention to detail in software development and technical documentation.
• Ability to write clean, efficient and maintainable code.

What's in It for You?

• You will have the opportunity to work in an international and multi-cultural environment
• You will work on interesting European projects managed by the European Commission.
• Whether you're applying as a freelancer or looking for an employee contract, we offer attractive compensation and benefits packages, tailored to your experience level

NTT DATA - a part of NTT Group - is a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, IT modernization and managed services. NTT DATA enables clients, as well as society, to move confidently into the digital future. We are committed to our clients' long-term success and combine global reach with local client attention to serve them in over 50 countries. Visit us at nttdata.com.