Analytics Engineer Jobs

About The Position

Requirements

• University degree in Computer Science, Information Technology, Systems Engineering, or a relevant discipline, combined with a minimum of 12 years of relevant IT work experience.
• Hands-on experience with dbt, preferably dbt Core, for designing, maintaining, testing, documenting, and extending production-grade analytics transformation projects.
• Experience in analytics engineering and modern data modelling, including layered architectures, reusable macros, data quality controls, and CI/CD practices.
• Experience developing PySpark transformation scripts for large-scale data processing.
• Hands-on experience with Apache Iceberg, including partition and schema evolution, snapshot management, and time travel.
• Experience with job orchestration and scheduling tools, such as Dagster, for managing dbt and Spark workloads.
• Strong knowledge of SAS-based ETL and legacy codebases.
• Excellent SQL skills, including complex transformations, performance optimisation, and incremental processing.
• Good understanding of Apache Spark execution, partitioning strategies, file layout optimisation, and performance tuning.
• Strong knowledge of data validation, reconciliation, and testing to ensure functional equivalence when migrating legacy systems to dbt and PySpark.
• Knowledge of version control and collaborative development practices, including Git, code reviews, release management, and automated deployment pipelines.
• Excellent command of the English language.

Nice To Haves

• Spark job optimisation experience is an asset.
• Experience migrating SAS workflows to dbt is a strong asset.

Responsibilities

• Design and develop scalable, reliable data transformation pipelines and workflows.
• Optimise the performance and execution times of dbt projects.
• Design, implement, and document data quality checks and control tests using dbt capabilities.
• Establish automated regression testing and validation procedures to ensure pipeline output quality and consistency.
• Promote and share best practices for maintaining, managing, and evolving dbt projects across the team.
• Analyse business requirements and translate business analysis documentation into robust, operational data transformation pipelines.

Benefits

• Competitive remuneration, either on a contract basis or with a full benefits package, based on qualifications and experience.
• Opportunity to work as part of a team serving a major European Institution in an international, multilingual, and multicultural environment, with opportunities to make a difference.