Analytics Engineer

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

At Interfood, data is a key driver for our business. As an Analytics Engineer at our global Global Headquarters in Eindhoven , you'll own business-facing data products from requirements to production. Working closely with business stakeholders, you'll translate business needs into trusted, analytics-ready datasets, combining strong business understanding with hands-on technical delivery using SQL, Python and modern Azure technologies.

You'll become part of our Global Data & Analytics team: an ambitious and collaborative team where innovation, ownership and continuous improvement are part of everyday work. In this role, you'll collaborate with colleagues across the business, translate business needs into trusted data solutions and contribute to solutions that create real value for our international organization, all while continuing to grow your technical expertise.

As an Analytics Engineer you:

• 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 (and dbt where applicable).
• 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.
• Collaborate with business stakeholders to understand their needs and translate them into practical, analytics-ready data solutions.
• Deliver reliable, high-quality data products that enable data-driven decision-making.
• Build trusted relationships with business stakeholders and successfully manage expectations, priorities, and dependencies.
• Ensure production data products remain reliable, maintainable, and aligned with evolving business needs.
• Contribute to engineering standards, knowledge sharing, and continuous improvement within the team.

Nice to have

• Hands-on experience with dbt, Databricks, and Apache Spark.
• Experience applying data quality, metadata management, and data governance best practices.

Your profile (need to have)

Experience supporting and troubleshooting production data products.

Experience with Git and Agile/Scrum ways of working.

Experience with DBT, Databricks, Spark, or data quality, metadata management and data governance practices is considered a plus.

2–4 years' experience in analytics or data engineering; exposure to the commodity/financial trading industry is a big advantage.

Experience building and maintaining batch data ingestion and transformation pipelines (SQL and Python).

Experience with data modelling and delivering analytics-ready datasets.

Experience working with Azure (or a comparable cloud platform).

Experience gathering business requirements and working directly with stakeholders.

Experience supporting and troubleshooting production data products.

Experience with Git and Agile/Scrum ways of working.

Experience with DBT, Databricks, Spark, or data quality, metadata management and data governance practices is considered a plus.

2–4 years' experience in analytics or data engineering; exposure to the commodity/financial trading industry is a big advantage.

Experience building and maintaining batch data ingestion and transformation pipelines (SQL and Python).

Experience with data modelling and delivering analytics-ready datasets.

Experience working with Azure (or a comparable cloud platform).

Experience gathering business requirements and working directly with stakeholders.

Experience supporting and troubleshooting production data products.

Experience with Git and Agile/Scrum ways of working.

Experience with DBT, Databricks, Spark, or data quality, metadata management and data governance practices is considered a plus.

Our offer

Competitive compensation and benefits.

Free delicious and healthy lunch.

We value your personal development and have a strategic focus on our learning program.

About Interfood

Do you like to work for an international company? Do you value professionality and quality? Are you comfortable in a dynamic environment? But on the other hand looking for cooperation in a close and informal team? Then Interfood is the ideal employer for you.

The Interfood Group is a leading global dairy trading company (milk powders, butter, cheese, dairy blends etc.). The Group consists of 14 offices in all continents with more than 350 employees. Our constant strive for optimal quality, up-to-date knowledge and a profound focus on service, enables Interfood to create the difference for its robust network of both clients and suppliers.