Summary
✨ AI‑Generated
Work as a BI engineer responsible for building and supporting reporting solutions across a complex data warehousing environment. You will develop with Snowflake and related data platforms, ensure reporting accuracy, monitor production systems, resolve issues, and collaborate closely with finance stakeholders.
Highlights
BI engineering role combining Snowflake development, enterprise data warehousing, reporting, finance collaboration, production support, and opportunities to grow into broader responsibilities.
Description
As a BI Engineer, you will be responsible for building and maintaining reporting solutions.
You will have a thorough understanding of the diverse warehousing landscape comprising Snowflake, SAP HANA and data integration and be responsible for designing and implementing business requirements as well as data accuracy in reports.
You will support the team in day-to-day Snowflake, Datasphere Development and support, monitoring the production environment, identifying and fixing issues, and improving system performance.
As this role involves daily interaction with the finance department, it is essential that you have a good background in finance, and strong verbal and written communication skills in English.
Due to the rapid and continuous growth of the organization, the tasks and duties of this role may evolve over time.
You will be keen to develop and grow within the role and to take on additional challenges and responsibilities as they occur.
B.Responsible:
Development and support of BI environment in collaboration with finance stakeholders.
Ongoing development and maintenance of SAP Hana reporting platform.
Responsible for data loading, monitoring and system performance.
Engage with users to understand their needs and develop/maintain application, logical and technical data architectures.
Integration and implementation of changes.
Training of key users.
B.Skilled:
Bachelor’s or Master’s degree in Mathematics, Computer Science, or related field.
5+ years of expertise in the IT industry
3+ years of full hands-on Snowflake Data modelling , Dbt.
experience is a must
Experience on Dimensional Modelling or Data Vault.
Strong knowledge of SQL, Stored Procedures and Functions specific to Snowflake.
Good understanding and implementation experience of Medallion Architecture in lakehouse
Understanding of different descriptor file formats like YAML.
Exposure to Apache Airflow or any similar orchestration tool is a plus
Exposure to security concepts in Snowflake is a plus
Experience with SAP Datasphere is an added advantage
Experience with SAP HANA XSA development and XSA & DB Security concepts (Roles, Privileges etc) is a plus
Experience with Git concepts (GitHub / Gitlab) is a must.
Experience with CI/CD, pipelines is a plus
Knowledge of agile development processes (SCRUM or Kanban) and experience with Jira a plus
Knowledge and experience in SAP based Financial Reporting is a plus
Superior attention to detail and quality required
Proven ability to adopt new technologies
Demonstrated interest for researching new technologies and developing business cases to support stakeholders across the organization
Ability to have a good grasp of the details and manage multiple priorities.
Able to work in a quick turnaround environment.
Strong analytical and problem solving skills.
Strong communication skills in English, both verbal and written.
Independent, organized, flexible, proactive and result-oriented.
Ability to own process end to end
Pre-Employment Screening
If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law.
Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.