Senior Data Engineer Consultant

Sia Partners'; Antwerpen; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Tailored training

Flexible work arrangements

International project exposure

Résumé du poste

Sia Partners seeks a Senior Consultant specialized in Data Engineering to lead client engagements, co-design robust data architectures, and drive end‑to‑end data solutions across cloud platforms and modern frameworks. You will mentor junior staff and contribute to thought leadership.

You will work on data architecture, pipelines, modeling, data integration, and DataOps, collaborating with stakeholders and delivering impactful results for energy, finance, and other sectors.

Qualifications

• 3–6 years of relevant professional experience (or equivalent)
• Fluent English; Dutch or French fluency required
• Strong interest in data and AI topics; ability to quickly build expertise
• Excellent communication and presentation abilities

Responsabilités

• Lead data architecture and pipeline design for client engagements
• Design cloud data solutions on platforms like AWS/Azure/GCP and Spark/Kafka
• Develop logical and physical data models for various data types
• Implement batch, streaming, and real-time data integration
• Enable CI/CD and DataOps for data services and infrastructure
• Develop and enhance Sia's Data Engineering offerings through training and publications
• Represent Sia at events and contribute to thought leadership
• Manage client engagements and mentor junior consultants

Connaissances

Data architecture

Data pipelines

Cloud platforms

Data modeling

Data integration

DataOps

CI/CD

Stakeholder management

Mentoring

Communication

English fluency

Dutch or French

Formation

Master's degree in data science / related field

Outils

Databricks

Snowflake

Azure

Description du poste

Sia is a next-generation, global management consulting groupborn digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today’s world of change and disruption, optimism is a force multiplier.

To support our growth, we are recruiting Senior Consultants specializing in Data Engineering solutions. You will lead client engagements, co-design data engineering solutions through close collaboration with clients, manage stakeholders, and ensure impactful project delivery from strategy through execution.

Responsibilities:

Data Architecture & Pipeline Design: Building robust, scalable data pipelines and architectures to enable efficient ingestion, processing, and delivery of large volumes of structured and unstructured data.

Cloud & Distributed Systems: Designing and implementing data solutions leveraging modern cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark, Kafka).

Database Design & Data Modeling: Developing logical and physical data models and optimizing database solutions for various data types and workloads, including relational, NoSQL, time-series, and graph databases.

Data Integration & Loading Patterns: Implementing best practices for batch, streaming, and real-time data integration, adapting to structured, semi-structured, and unstructured data sources.

CI/CD & DataOps Practices: Enabling continuous integration and deployment of data services and infrastructure, using modern DevOps tooling to ensure reliability, versioning, and automation in data workflows.

Within Sia itself you will:

Develop and enhance our Data Engineering offerings through internal training sessions, working groups, and internal/external publications.

Represent Sia at professional events, contributing actively to thought leadership initiatives (articles, white papers, webinars).

Drive business development by crafting compelling proposals, identifying new collaboration opportunities, and fostering long-term client relationships.

Manage client engagements, serving as a trusted advisor and subject matter expert to middle and senior-level management.

Supervise and mentor junior to medior consultants, guiding their professional growth, reviewing deliverables, and facilitating the development of technical and interpersonal skills.

Your profile

Analytical thinker with a structured and proactive approach.

Experienced communicator capable of clearly articulating complex technical ideas to varied audiences.

Effective stakeholder manager, comfortable guiding teams through project delivery.

Demonstrated ability to mentor colleagues and facilitate professional development.

Qualifications

Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.

The specific stack that you will work with will depend on the client but, as an indication, we commonly work with Databricks, Snowflake and Azure.

3-6 years of relevant professional experience (or equivalent academic research).

Strong analytical mindset with systematic problem-solving abilities.

You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you’re excited about helping our clients seize the opportunities they offer.

A fast learner who demonstrates strong communication skills, adaptability, and entrepreneurial drive.

Fluency in English, with excellent communication and presentation abilities. Dutch or French fluency is a must.

Proven interest in Data Engineering, and relevant sectors such as Energy and Finance.

What do we offer?

Competitive salary package, including annual salary increase, bonuses, and flexible mobility options (company car or personalized mobility plan).

Tailored training and development opportunities to position you as an expert in your field.

Flexible working arrangements (office, home, client sites) and international project exposure.

Collaborative global environment fostering professional growth and knowledge sharing.

Additional information

We are unable to provide a work permit for this position

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.