Senior Data Engineer: Enterprise DW & Data Vault 2.0

SEB

Pargas

Hybrid

EUR 90,000 - 130,000

Full time

8 days ago

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Benefits offered by this job

Hybrid working model with up to 2 days

Remote work up to two days per week

Training and learning opportunities

Job summary

SEB seeks a Senior Data Engineer and Data Modeller to transform the Finance & Risk Data Platform into a scalable enterprise data warehouse. You will lead data modelling, architecture, governance, and ELT pipelines across 200+ source systems to ensure accuracy and regulatory compliance.

Join a collaborative, innovative tech environment with hybrid work options, targeting a future-ready data platform for finance and risk domains.

Qualifications

Deep expertise in data modelling and enterprise data warehouse design.
Proven experience with Data Vault 2.0 including hubs, links, satellites, historization, lineage.
Track record building scalable data platforms integrating many heterogeneous source systems.

Responsibilities

Design and evolve the target enterprise data warehouse architecture for the Finance and Risk data domains.
Model complex business data using Data Vault 2.0 principles.
Design hubs, links, satellites, business vault, and downstream information marts.
Define standards for historization, auditability, lineage, metadata, and data quality.
Build and optimize ELT processes on GCP using BigQuery, Airflow, and Dataform/DBT.
Integrate data from many source systems with full traceability to sources.
Mentor engineers and drive data modelling and engineering standards across the team.