Experience of 2–5 years in data engineering, data integration, or business intelligence.
Hands-on experience with Google Cloud Platform (GCP).
Hands-on experience with Microsoft Fabric, Azure Data Services, or similar platforms.
Strong SQL knowledge and experience with data transformation processes.
Experience building, monitoring, or supporting ETL/ELT data pipelines.
Understanding of data quality, reconciliation, and validation processes.
Fluency in spoken and written English.
Ability to operate independently while working as part of a team.
Strong analytical and problem-solving skills.
Attention to detail and focus on data accuracy.
Ability to collaborate with technical and business stakeholders.
Structured and methodical approach to work.
Ability to prioritize and manage multiple tasks simultaneously.
Responsibilities
Support data ingestion processes from Microsoft Fabric into Google Cloud Platform and vice versa.
Monitor and validate data flows across the enterprise data platform.
Perform data quality checks and support data reconciliation activities.
Investigate and resolve data inconsistencies and data processing issues.
Maintain and enhance existing data pipelines and integrations.
Collaborate with Data Engineers and business stakeholders to understand data requirements.
Collaborate with infrastructure teams to route data securely.
Contribute to documentation of data processes and platform standards.
Support ongoing optimization and improvement initiatives across the data platform.
Assist in onboarding new data sources and integrations.
Desired Qualifications
A GCP Data Engineer or Azure Data Engineer certification is preferred.
Experience working with enterprise ERP, CRM, or business application data is an advantage.
Understanding of data modelling and lakehouse concepts is beneficial.
Job Description
Support data ingestion processes from Microsoft Fabric into Google Cloud Platform and vice versa.
Monitor and validate data flows across the enterprise data platform.
Perform data quality checks and support data reconciliation activities.
Investigate and resolve data inconsistencies and data processing issues.
Maintain and enhance existing data pipelines and integrations.
Collaborate with Data Engineers and business stakeholders to understand data requirements.
Collaborate with Infra teams to route data securely.
Contribute to documentation of data processes and platform standards.
Support ongoing optimization and improvement initiatives across the data platform.
Assist in onboarding new data sources and integrations.
Qualifications
Experience (2-5 years) in Data Engineering, Data Integration or Business Intelligence.
Hands-on experience with Google Cloud Platform (GCP).
Certifications like GCP Data Engineer/Azure Data Engineer is prefered
Hands-on experience with Microsoft Fabric, Azure Data Services or similar platforms.
Strong SQL knowledge and experience with data transformation processes.
Experience building, monitoring, or supporting ETL/ELT data pipelines.
Understanding of data quality, reconciliation and validation processes.
Experience working with enterprise ERP, CRM or business application data is an advantage.
Understanding of data modelling and lakehouse concepts is beneficial.
Personal Skills:
Ability to operate independently while working as part of a team.
Fluent in English, both verbal and written.
Strong analytical and problem-solving skills.
Attention to detail and focus on data accuracy.
Pro-active mindset and eagerness to learn.
Good communication skills and ability to collaborate with technical and business stakeholders.
Structured and methodical approach to work.
Team player with a collaborative mindset.
Ability to prioritize and manage multiple tasks simultaneously.
Additional Information
In addition to a secure job in an internationally successful, fast-growing and family-friendly group of companies, you can also expect:
Attractive remuneration package (split into 13 salaries)
30 days vacation
Hybrid working model with flexible working hours and flexitime account in a 40-hour week
Company pension scheme
Canteen with subsidized lunch
Team member appreciation
Individual training and development opportunities
Casual dress code
Regular employee events
Employees recruit employees-bonus
Corporate benefits
Job ticket
Free employee parking spaces
All the traditional benefits like health insurance, paid time away while you re-energize – don’t worry, we’ve got you covered
REPA welcomes diversity and is an equal opportunities employer. All qualified applicants are considered regardless of race, religion, skin color, national origin, gender, age, sexual orientation, gender identity or disability.
Do you have questions? We will be happy to answer them! Please send an e-mail to Nadine: [email protected].
Have we sparked your interest?
Then apply today! We look forward to receiving your online application. :-)