Dbt Analytics Engineer

pJoin the Team as Dbt Analytics Engineer
- European Commission /ppAs a Dbt Analytics Engineer, these are the main tasks that you'll be responsible for: /pulliDesign and develop transformation pipelines for scalable and reliable data workflows. /liliOptimise the execution time of dbt projects. /liliDesign, implement and document data quality checks and control tests using dbt functionalities. /liliSet up automated regression tests and validation procedures for pipeline outputs. /liliIntroduce and share best practices for managing and evolving dbt projects. /liliInterpret business analysis documents and translate them into operational transformation pipelines. /li /ulh3What You'll Bring /h3h3Technical Skills /h3ulliHands-on expertise with dbt, preferably dbt Core, in production environments. You can design, maintain, test, document and extend modular analytics transformation projects. /liliStrong 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. /liliStrong SQL skills for complex transformations, performance optimisation and incremental processing. /liliPractical experience developing PySpark transformation scripts for large-scale data processing. Spark job optimisation is an advantage. /liliGood understanding of Apache Spark execution, partitioning strategies, file layout optimisation and performance tuning in distributed data environments. /liliProven 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. /liliStrong knowledge of data validation, reconciliation and testing. You can ensure functional equivalence when migrating from legacy proprietary software to dbt and PySpark. /liliFamiliarity with Git-based workflows, code reviews, release management and automated deployment pipelines. /liliExperience with job orchestration and scheduling tools, such as Apache Spark and Dagster, for running dbt and Spark workloads in enterprise environments. /liliAbility to produce clear technical documentation. This should cover transformation logic, migration decisions, table behaviour, operational procedures and support handover. /liliAbility to work with data engineers, analysts, business stakeholders and platform teams. You can translate legacy logic into scalable and well-governed modern data transformations. /liliKnowledge of SAS-based ETL and the ability to understand legacy codebases are strong advantages. Experience migrating SAS workflows to dbt is also highly valued. /liliEQF Level 6 or higher in Computer Science, Information Technology, Systems Engineering or another relevant field. /liliStrong problem-solving and analytical skills. /liliStrong organisational and time-management skills. /liliStrong team spirit and the ability to work effectively in a collaborative team. /liliAbility to integrate into an international and multi-cultural environment. /liliExcellent communication skills, including the ability to explain complex technical concepts clearly. /liliAttention to detail in software development and technical documentation. /liliAbility to write clean, efficient and maintainable code. /li /ulh3What's in It for You? /h3ulliYou will have the opportunity to work in an international and multi-cultural environment /liliYou will work on interesting European projects managed by the European Commission. /liliWhether you're applying as a freelancer or looking for an employee contract,

we offer
attractive compensation and benefits packages, tailored to your experience level /li /ulpNTT 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. /p