Senior Data Engineer Contractor

Intive; Polska; Híbrido; PLN 180.000 - 280.000; Jornada completa

Descripción de la vacante

intive is seeking a Senior Data Engineer Contractor to design and maintain robust data pipelines using dbt, AWS data services, and Microsoft Fabric from Poland. You will model data, ensure quality, and support BI with semantic datasets for Power BI.

The role emphasizes governance, documentation, and collaboration with stakeholders, enabling scalable, reliable analytics across platforms.

Formación

• Service Experience as a Data Engineer or Analytics Engineer delivering reliable pipelines and curated datasets for BI.
• Strong experience with dbt (model layering, tests, sources, freshness, docs, lineage, exposures).
• Proficient in SQL and Kimball dimensional modelling; familiar with AWS data services and Microsoft Fabric.

Responsabilidades

• Build and manage robust data pipelines, storage solutions, and data refresh processes.
• Develop dbt models across льayered data architecture (source to mart) with tests and lineage.
• Create reliable datasets and semantic models for Power BI and self-service analytics.
• Maintain data quality through automated validation, monitoring, and runbooks.

Conocimientos

SQL

Data modelling

Data governance

Data quality

Stakeholder communication

Problem solving

Educación

Bachelor's degree in a related field

Herramientas

dbt

AWS data services

Microsoft Fabric

Descripción del empleo

## Senior Data Engineer ContractorApply: Remote: Poland: Full time: Posted Today: JR101948**Join a diverse team of approx. 2000 professionals across four continents, driving innovation and growth within intive’s technology hubs. Work alongside industry experts trusted by leading brands like Audi, BMW, Deichmann, Meta, NewsCorp, Tandem, Paramount, Vorwerk, and Warner Bros. Discovery to create pioneering, sustainable digital experiences.****At intive, agile thinking and deep industry expertise come together across Automotive & Mobility, Commerce, Financial Services, Healthcare & Life Sciences, and Technology, Media & Communication. Be part of a team that’s shaping the future of digital innovation.**## **Scope of Services:** * Build and manage robust data pipelines, storage solutions, and data refresh processes across **Microsoft Fabric** and **AWS** to support analytics and reporting.* Develop dbt models across source, staging, intermediate, and mart layers, incorporating reusable business logic, facts, dimensions, testing, freshness checks, documentation, lineage, and exposures.* Create reliable and high-performing datasets and semantic models for Power BI and self-service analytics.* Develop and maintain data modelling standards covering Kimball dimensional modelling, consistent business keys, conformed dimensions, and clearly defined entities.* Maintain data quality through automated validation, monitoring, alerting, and root-cause analysis.* Keep comprehensive documentation covering data pipelines, datasets, definitions, assumptions, lineage, and runbooks.* Support secure and governed access to data while applying engineering best practices such as version control, code reviews, environment separation, and controlled releases. ## **Services Experience:** * Service Experience as a Data Engineer or Analytics Engineer delivering reliable pipelines and curated datasets for BI.* Strong and practical service experience with **dbt** (model layering, tests, sources, freshness, docs, lineage, exposures, and safe model change practices), SQL, Kimball dimensional modelling skills, **AWS** data services and cloud data engineering patterns, **Microsoft Fabric** (Lakehouse, Warehouse).* Service Experience with data quality, monitoring, operational support, and troubleshooting.* Good communication with technical and non-technical stakeholders.