Oracle Data Engineer

Xintas; Antwerpen; Remote; EUR 65,000 - 92,000; Full time

Job summary

Xintas in Belgium is seeking an experienced Oracle On-Premises Data Engineer to advance data warehouse and data integration solutions within a complex data environment. The role focuses on accessing, processing and making data available for analytical and operational use using Oracle technologies.

Responsibilities include designing, developing, testing and operating data solutions, optimizing ETL workflows and ensuring data quality across platforms.

Qualifications

• Strong knowledge of Oracle Database and data warehousing.
• Experience with complex data integration and ETL processes.
• Knowledge of Data Vault and dimensional modelling.
• Experience with data analysis and SQL querying on Oracle platforms.
• Experience with testing, preferably regression testing and data validation.
• Knowledge of scripting and automation.
• Nice to Have: experience in complex data warehouse environments.
• Knowledge of AI-assisted automation or data engineering workflows.
• Experience in a financial or regulated environment.

Responsibilities

• Analyse, model and process data from various source systems.
• Develop and optimise ETL processes and data flows.
• Ensure data quality, performance and reliability across the data environment.
• Collaborate with business stakeholders, analysts and data specialists to translate data requirements into technical solutions.
• Support the testing, validation and operation of data solutions.
• Contribute to automation, standardisation and continuous improvement of the data platform.
• Design, develop and maintain data integration and data warehouse solutions.

Skills

Oracle Database

Data Warehousing

ETL Processes

SQL querying

Data Vault

Dimensional Modelling

Scripting

Automation

Data Analysis

Job description

We are looking for an experienced Oracle On-Premises Data Engineer to contribute to the further development, optimization and support of data warehouse and data integration solutions within the Enterprise Data Platform. The focus is on accessing, processing and making data available for analytical and operational purposes within a complex data environment. This role is based on the internally defined Data Engineer profiles and the explicitly required Oracle expertise.

Responsibilities

Analyse, model and process data from various source systems.

Develop and optimise ETL processes and data flows.

Ensure data quality, performance and reliability across the data environment.

Collaborate with business stakeholders, analysts and data specialists to translate data requirements into technical solutions.

Support the testing, validation and operation of data solutions.

Contribute to automation, standardisation and continuous improvement of the data platform.

Design, develop and maintain data integration and data warehouse solutions.

Ideal Profile

Strong knowledge of Oracle Database and data warehousing.

Experience with complex data integration and ETL processes.

Knowledge of Data Vault and dimensional modelling.

Experience with data analysis and SQL querying on Oracle platforms.

Experience with testing, preferably regression testing and data validation.

Knowledge of scripting and automation.

Nice to Have

Experience working in complex data warehouse environments.

Knowledge of AI-assisted automation or data engineering workflows.

Experience in a financial or regulated environment.