Senior Data & Analytics Engineer — Remote Customer Analytics

Jobgether; España; Presencial; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote in Europe

Ownership of BI ecosystem

Cross-country collaboration

Two annual team events

Descripción de la vacante

Jobgether in Europe is seeking a Senior Data & Analytics Engineer to own a modern data platform and BI layer in a fully remote, international environment. You’ll transform complex data into scalable, trusted insights for customers and internal teams, blending data engineering, analytics engineering, and data product ownership to shape the data ecosystem.

You’ll modernise BI capabilities, build robust pipelines and semantic models, and enable governed self‑service analytics for multi‑tenant data.

Formación

• 5+ years in data engineering or analytics engineering, customer-facing BI focus.
• Proven experience building scalable data platforms and customer analytics in SaaS.
• Strong hands-on Databricks, Spark/PySpark, Delta Lake.
• Advanced Power BI, DAX, and semantic models.

Responsabilidades

• Take end-to-end ownership of the data platform, including Databricks, Microsoft Fabric, scalable pipelines, and lakehouse architecture.
• Design, build, and operate robust ETL/ELT workflows supporting batch and near-real-time data processing.
• Establish and maintain data quality, reliability, observability, performance, and architectural standards across the platform.
• Define data contracts, architecture principles, and modular, scalable approaches while optimising platform costs and workload distribution.
• Own Power BI semantic models, KPIs, dimensional models, DAX performance, aggregations, and dataset refresh processes.
• Build and maintain customer-facing dashboards, embedded analytics, and data exports while ensuring consistent and trusted metrics.
• Enable governed self-service analytics and support secure, scalable multi-tenant data models.
• Translate customer and business needs into scalable data products, define reporting standards with Product, and identify opportunities to create additional value through data.
• Implement testing, validation, monitoring, alerting, CI/CD, versioning, and other engineering practices across data pipelines and BI assets.
• Lead the transition from an existing vendor-built BI solution by reverse-engineering pipelines, logic, and reports, reducing technical debt, and rebuilding toward a clean, product-grade architecture.
• Proactively identify patterns, anomalies, optimisation opportunities, and new insights that can generate measurable customer and business impact.

Conocimientos

Databricks

Spark/PySpark

Delta Lake

Microsoft Fabric

Azure

Power BI

DAX

SQL

Dimensional modelling

Kimball methodology

CI/CD for data pipelines

Git

Data quality

Observability

Multi-tenant data models

Embedded analytics

English proficiency

Herramientas

Databricks

Microsoft Fabric

Power BI

Delta Lake

Git

Descripción del empleo

Jobgether in Europe is seeking a Senior Data & Analytics Engineer to own a modern data platform and BI layer in a fully remote, international environment. You’ll transform complex data into scalable, trusted insights for customers and internal teams, blending data engineering, analytics engineering, and data product ownership to shape the data ecosystem.

You’ll modernise BI capabilities, build robust pipelines and semantic models, and enable governed self‑service analytics for multi‑tenant data.