Analytics Engineer: Build Trusted Data Products

Interfood; Eindhoven; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Free delicious and healthy lunch

Competitive compensation and benefits

Job summary

Interfood in Eindhoven is seeking an Analytics Engineer to own data products end-to-end, from requirements to production. You will translate business needs into analytics-ready datasets, collaborating with stakeholders across the organization and delivering trusted solutions using SQL, Python and Azure technologies.

As part of Global Data & Analytics, you will build pipelines, ensure data quality, governance, and maintainable data products, while continuously improving processes and sharing

Qualifications

• 2–4 years' experience in analytics or data engineering.
• Experience with Git and Agile/Scrum ways of working.
• DBT, Databricks, Spark, or data quality, metadata management and data governance practices is a plus.
• Experience working with Azure (or a comparable cloud platform).

Responsibilities

• Own data products end-to-end by gathering business requirements, managing stakeholders, prioritizing work, and delivering trusted analytics solutions from design through production support.
• Develop and maintain data pipelines by building batch data ingestions and transforming raw data into analytics-ready datasets using SQL and Python.
• Support and continuously improve existing data products by monitoring, troubleshooting and resolving production issues, and enhancing the reliability and performance of ingestion and transformation processes.
• Apply data governance practices by implementing data quality checks, metadata, lineage and business definitions to ensure trusted and well-governed data products.
• Deliver reliable, high-quality data products that enable data-driven decision-making.

Skills

SQL

Python

Azure

Analytics

Stakeholder management

Tools

dbt

Databricks

Apache Spark

Git

Azure

Job description

Interfood in Eindhoven is seeking an Analytics Engineer to own data products end-to-end, from requirements to production. You will translate business needs into analytics-ready datasets, collaborating with stakeholders across the organization and delivering trusted solutions using SQL, Python and Azure technologies.

As part of Global Data & Analytics, you will build pipelines, ensure data quality, governance, and maintainable data products, while continuously improving processes and sharing