Data Engineer

SANDT is looking for a Data Engineer Consultant to join us in supporting data transformation and analytics initiatives across complex client environments.

We work on programmes where data, platforms, business processes, and technology intersect. As a Data Engineer Consultant, you will help organisations build reliable, scalable, and well-structured data foundations that enable reporting, analytics, business insights, and future advanced data use cases.

Responsibilities

• Manage defined workstreams independently, including planning, delivery, and quality assurance.
• Interact directly with clients within your scope and contribute to decision-oriented deliverables.
• Coach junior colleagues and actively contribute to team performance and knowledge sharing.
• Build, maintain, and improve data pipelines ingesting data from enterprise applications, business systems, and external sources.
• Contribute to the design, development, and maintenance of data models for reporting, analytics, and broader platform use cases.
• Support the architecture and evolution of data solutions within the broader data platform environment, in close collaboration with architects and technical teams.
• Document and maintain a clear view of the data landscape, including sources, flows, models, dependencies, ownership, and technical constraints.
• Review and improve technical designs and implementations for consistency, quality, scalability, maintainability, and production readiness.
• Help define and continuously improve data engineering, reporting, and analytics standards.
• Provide analytics users with reliable data structures, trusted datasets, tools, and reusable frameworks.
• Collaborate with technical teams, analytics users, and business stakeholders to translate data needs into practical solutions.
• Work across hybrid data architectures and technologies.
• Anticipate risks, dependencies, and data-quality issues, and propose pragmatic solutions early.
• Simplify complex data topics for both technical and non-technical audiences.

Soft Skills

• Trilingual proficiency: Dutch, French, and English.
• Excellent communication and active listening skills.
• Strong analytical and problem-solving mindset.
• Ability to simplify complex technical topics and create clarity for different audiences.
• Pragmatic, structured, and delivery-oriented mindset.
• Comfortable navigating ambiguity, dependencies, and changing priorities.
• Collaborative by nature, with the ability to build trust across technical and business teams.
• Strong sense of ownership, with the ability to anticipate risks, challenge constructively, and drive improvements.

Professional Experience

• Master's degree or equivalent experience in a related field.
• Extensive hands-on experience in data engineering, with enough delivery exposure to know what good looks like and explain it through concrete examples.
• Proven experience designing, building, and maintaining data pipelines for analytical, reporting, and business use cases.
• Experience contributing to data platforms or data architecture initiatives in complex environments.
• Experience working with multiple stakeholder groups, including business teams, architects, analytics teams, report developers, and data scientists.
• Experience working in agile delivery environments, with a strong focus on quality, collaboration, and tangible outcomes.

Technical Requirements

• Strong SQL skills.
• Fluency in one or more data-oriented languages or frameworks, such as Python, Scala, Spark, PySpark, or similar.
• Solid data modelling skills, including UML, ER modelling, analytical schemas, and data structures for reporting and analytics.
• Meaningful experience with Databricks and Unity Catalog as part of an analytical data platform.
• Comfortable working within a Microsoft Azure-based data ecosystem.
• Experience with data pipeline design, orchestration, transformation, testing, monitoring, and production support.
• Ability to work across cloud-based and on-premise data architectures and understand how pipelines, models, platforms, and tools connect.
• Strong understanding of data quality, lineage, metadata, access management, scalability, and maintainability principles.
• Familiarity with BI and visualisation tools such as Power BI, Grafana, or Tableau is a plus.
• Experience with different data formats, including structured, semi-structured, and unstructured data, is a plus.
• Exposure to machine learning, advanced analytics, or data science enablement is a plus.
• Curiosity and openness towards new technologies, patterns, and ways of working are a strong asset.

Competitive Benefits - At SANDT, we offer a competitive rewards package, including a company car or mobility budget, phone subscription, group and health insurance, lunch vouchers, and more.

Inclusive Culture - We value diversity and foster an environment where different perspectives drive innovation, creativity, and collaboration.

Stability & Trust - Reliability is at the heart of what we do, building lasting relationships with our clients, partners, and employees.

At SANDT, we're committed to creating a workplace where everyone belongs and can thrive. We embrace diversity and ensure fair opportunities for all.

At SANDT, we operate at the crossroads of strategy, execution, and technology; turning complex challenges into concrete outcomes. Our work bridges IT and OT through smart, pragmatic solutions that create connected environments and lasting impact. We build trusted partnerships through clarity, rigor, and measurable results, all while fostering a culture of ownership, continuous learning, and sharp thinking. We believe in Excellence over Ego, Engagement with Impact, and Evolution as a Mindset; three values that shape how we think, collaborate, and grow with our clients. To support that growth, we developed SANDTedge, our internal framework that gives every consultant a clear, shared trajectory with concrete benchmarks across impact, ownership, problem-solving, and communication.