Data Engineer: Banking Data Warehouse & Automation

OBSS; Amsterdam; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Flexible and hybrid work arrangements

Growth through training and certifc...

Job summary

OBSS in Amsterdam seeks a highly skilled Data Engineer to drive data-driven transformation across our global organization. You will automate reporting ecosystems, onboard new data sources, and build enterprise data warehouses, bridging legacy MS Access, Excel, and text-based workflows into robust pipelines.

Collaborate with cross-functional stakeholders to ensure high-quality data delivery from staging to data marts, focusing on data modeling, T-SQL development, and modern data engineering

Qualifications

• At least 5+ years of proven experience in Data Modeling, Database Administration, and Database Management.
• 5+ years of deep T-SQL development expertise, including writing complex stored procedures, functions, views, triggers, and query optimization.
• At least 3+ years of experience in the banking sector with in-depth knowledge of financial products, core banking systems, and their underlying data structures
• Expertise in data engineering tools such as Python and Apache Airflow for pipeline development and workflow orchestration.
• Strong knowledge of Git and collaborative version control workflows.
• Practical experience in reverse-engineering complex legacy setups (MS Access, Excel, text files) and migrating them into modern data pipelines.
• Exceptional problem-solving and analytical skills focused on automation, paired with effective communication skills to convey technical concepts to non-technical stakeholders.

Responsibilities

• Onboard new data sources into the Data Warehouse from staging through to data marts while maintaining strict data quality standards.
• Maintain, optimize, and continuously develop the core SQL Server data warehouse.
• Execute user stories focused on source onboarding, adding new fields, and delivering custom reporting requests.
• Reverse-engineer complex legacy setups relying on MS Access, Excel reports, and text files to convert them into scalable data solutions.
• Collaborate and consult with cross-functional business teams across the bank to automate reporting environments and align technical solutions with business needs.

Skills

Data Modeling

Database Administration

T-SQL

Python

Apache Airflow

Git

Legacy Systems

Tools

SQL Server

MS Access

Excel

Job description

OBSS in Amsterdam seeks a highly skilled Data Engineer to drive data-driven transformation across our global organization. You will automate reporting ecosystems, onboard new data sources, and build enterprise data warehouses, bridging legacy MS Access, Excel, and text-based workflows into robust pipelines.

Collaborate with cross-functional stakeholders to ensure high-quality data delivery from staging to data marts, focusing on data modeling, T-SQL development, and modern data engineering