About the job

The Data & Analytics team of Mega Image is responsible for the delivery of the Data Products within the organization. The underlying business use cases cover different areas such as Reporting & Dashboarding, Data Science & Analytics or Data Governance. The Data Insights & Analytics team is responsible for the design, development and operation the products in close collaboration with our business stakeholders and with our regional teams or external partners. Our mission is to provide our internal customers with valuable data assets in a self service mode and to facilitate business data driven decisions. We want to work with people who share a passion for data and who enjoy solving complex analytical problems in a multicultural and fast paced environment.

We’re looking for someone who can learn fast, enjoys working with others, and is a pragmatic decision-maker.

The Data Engineer is responsible for managing the lifecycle of a data product, from design & build to deployment & maintenance.

In this role, you are responsible for understanding the business needs & rules for a specific set of use cases or data products and to translate those into comprehensive data definitions, data models and data quality requirements.

In your daily interactions, you rely on a thorough understanding of the business processes and underlying data in order to translate raw data into actionable information and insights.

During the design phase, you analyze data sources, define the most suitable data structure depending on the nature of the use case (reporting, analytics, operational), you will define the relationships between different data entities and create data models that reflect the organization's data architecture.

You will collaborate with data scientists, BI developers and analysts to ensure data integrity and accessibility.

You will work with stakeholders to translate business requirements into data structures and

Ensure that data models support business processes and analytics needs.

You will design, implement, and maintain scalable data pipelines and workflows using Databricks and Azure data framework.

You will ensure data quality, integrity, and compliance with security standards.

You will document processes and workflows to support team knowledge sharing and future development.

Education and training

University Degree in Computer sciences, cybernetics or any other technical discipline

Experience

Required

• Prior experience of minimum 3-5 years in a related work experience.
• Thorough understanding of data lifecycle value chain and underlying components (ETL/ELT, DWH/Data Lake)
• Familiar with Azure data ecosystem (ingestion, storage, analytics & data visualization): Azure Ingestion framework, Data Bricks, Azure Synapse, Delta Lake
• Data modelling skills (from logical to physical model, different modelling techniques: star schema, snowflake schema
• Functional and technical architecture principles
• Savvy programming in Python, SQL, DAX and Power BI
• Test-driven development

Considered a plus

Experience with retail, marketing, supply chain and finance.

Previous experience working in a scaled agile environment

Interpersonal skills

• Strong analytical and problem solving skills
• Strong business acumen
• DevOps mindset and strong ownership
• Teamwork and ability to operate within a large team in a matrix organization: involves others, shares knowledge and seeks opportunities for cross functional working and collaboration

Languages

Excellent command of the English language both written & spoken.