Data Engineer (Senior)

Ravago-9; Arendonk; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

Fringe benefits

Career growth opportunities

Job summary

Ravago invites a Senior Data Engineer to help design and optimize our modern data platform, consolidating ERP systems and data sources into a single source of truth.

You will work with Data Architects, Analytics Engineers, BI Developers and stakeholders to translate requirements into scalable, AI-ready data solutions using Snowflake, dbt, and a Kimball approach.

We offer an international, entrepreneurial environment with room for initiative, learning, and a competitive package.

Qualifications

• Proven experience as a Senior Data Engineer in complex enterprise-scale data environments.
• Strong expertise in dimensional modeling (Kimball).
• Extensive hands-on experience with Snowflake.
• Strong knowledge of SQL and dbt.
• Experience with Snowflake Cortex and a strong interest in leveraging AI capabilities within modern data platforms.

Responsibilities

• Design, develop, and maintain scalable data solutions within our modern data platform.
• Translate architectural guidelines into sustainable technical designs.
• Build robust dimensional data models following the Kimball methodology.
• Harmonize data from multiple source systems and ERP environments into a single conformed data layer.
• Develop high-performance data transformations using dbt and SQL.
• Build and maintain semantic layers supporting BI solutions, AI agents, and Snowflake Cortex-powered use cases.
• Optimize Snowflake environments for performance, scalability, and cost efficiency.
• Implement security standards such as role-based access control, row-level security, and data masking.
• Establish automated data quality controls and CI/CD processes.
• Drive innovation by exploring, testing, and evaluating emerging technologies and AI solutions, including Snowflake Cortex capabilities.
• Document solutions and actively share knowledge within the team.
• Mentor and coach colleagues on technical best practices.

Skills

Dimensional modeling (Kimball)

Snowflake

SQL

dbt

Git & CI/CD

Analytical thinking

Communication

Tools

Snowflake Cortex

Python

Job description

Help build the data platform of tomorrow

At Ravago, we believe data is the foundation for smart decision-making, innovation, and sustainable growth. That is why we continue to invest in a modern data ecosystem where quality, scalability, and future-proof thinking are at the core.

For our growing Data & Analytics team, we are looking for a Senior Data Engineer who brings deep technical expertise, takes ownership, embraces architectural challenges, and is excited about the opportunities that AI can bring to modern data platforms.

In this role, you will help shape an international data environment that consolidates multiple ERP systems, business units, and data sources into a single trusted source of truth.

Your role:

As a Senior Data Engineer, you play a key role in designing, developing, and optimizing our modern data platform.

You translate architectural vision into robust technical solutions and ensure that our data landscape is reliable, scalable, and ready to support reporting, analytics, and AI-driven use cases.

You work closely with Data Architects, Analytics Engineers, BI Developers, and business stakeholders to transform complex data challenges into future-proof solutions.

Your responsibilities:

• Design, develop, and maintain scalable data solutions within our modern data platform.
• Translate architectural guidelines into sustainable technical designs.
• Build robust dimensional data models following the Kimball methodology.
• Harmonize data from multiple source systems and ERP environments into a single conformed data layer.
• Develop high-performance data transformations using dbt and SQL.
• Build and maintain semantic layers supporting BI solutions, AI agents, and Snowflake Cortex-powered use cases.
• Optimize Snowflake environments for performance, scalability, and cost efficiency.
• Implement security standards such as role-based access control, row-level security, and data masking.
• Establish automated data quality controls and CI/CD processes.
• Drive innovation by exploring, testing, and evaluating emerging technologies and AI solutions, including Snowflake Cortex capabilities.
• Document solutions and actively share knowledge within the team.
• Mentor and coach colleagues on technical best practices.

Your profile:

We are looking for a senior-level Data Engineer who combines technical depth with a pragmatic and entrepreneurial mindset.

Must-Haves

• Proven experience as a Senior Data Engineer in complex enterprise-scale data environments.
• Demonstrated track record of delivering production-ready data solutions.
• Strong expertise in dimensional modeling (Kimball).
• Extensive hands‑on experience with Snowflake.
• Strong knowledge of SQL and dbt.
• Experience with Snowflake Cortex and a strong interest in leveraging AI capabilities within modern data platforms.
• Experience with Git, code reviews, CI/CD pipelines, and automated testing.
• Strong analytical and problem-solving skills with a focus on quality.
• Ability to translate business requirements into scalable technical solutions.
• Excellent communication skills and the ability to explain complex technical concepts in a clear and understandable way.
• Experience working in structured, backlog-driven development environments.

You Also Recognize Yourself In The Following

• You take ownership and think beyond individual tickets or short-term fixes.
• You enjoy working with reusable patterns and standards.
• You are naturally curious and actively follow new technological developments.
• You have a strong interest in AI and modern data architectures.
• You enjoy experimenting with new tools and translating insights into tangible improvements.
• You are a team player who inspires and supports colleagues.

Nice to have:

• SAP S/4HANA knowledge.
• Experience with CDS Views or log-based replication.
• Python for scripting and tooling.
• Microsoft Fabric, OneLake, and Power BI.
• Apache Iceberg or other open table formats.
• Fivetran or HVR.
• Experience with AI-driven semantic layers such as Snowflake Cortex Analyst.
• Knowledge of legacy platforms such as Informatica PowerCenter, IBM InfoSphere, or DB2.

What we offer:

At Ravago, you will join an international and entrepreneurial organization where innovation, collaboration, and personal development are highly valued.

We offer:

• A key role within a growing international organization
• The opportunity to build a modern data and AI landscape
• Collaboration with experienced professionals across Data, Analytics, and IT
• Plenty of room for initiative, ownership, and innovation
• A competitive salary package with attractive fringe benefits
• Learning and career growth opportunities within an international group
• A company culture built on involvement, respect, and entrepreneurship

Join us and help shape the future of data, analytics, and AI at Ravago.