Senior Data Engineer Consultant

Sia; Brussel; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Bonuses

Flexible mobility options

Tailored training & development

Job summary

Sia is recruiting Senior Consultants specializing in Data Engineering solutions. You will lead client engagements, co-design data engineering solutions, manage stakeholders, and ensure impactful project delivery from strategy through execution.

You will develop and enhance Data Engineering offerings, represent Sia at events, drive business development, and mentor junior consultants while collaborating with cross-functional teams across the client landscape.

Qualifications

• Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.
• Databricks, Snowflake and Azure are commonly worked with for client projects.
• 3-6 years of relevant professional experience (or equivalent academic research).
• Strong analytical mindset with systematic problem-solving abilities.
• Strong interest in data and AI-related topics, with ability to quickly build expertise and help clients seize opportunities.
• Fast learner with good communication skills, adaptability and entrepreneurial drive.
• Fluency in English with excellent communication and presentation abilities; Dutch or French fluency is required.

Responsibilities

• Google Cloud (GCP): Hands-on experience with Google Cloud computing, data, and AI/ML services, including cloud architecture, compute and storage, IAM, cost optimization, and Infrastructure as Code.
• Data Architecture & Pipeline Design: Building robust, scalable data pipelines and architectures for ingestion, processing, and delivery of large volumes of structured and unstructured data.
• Cloud & Distributed Systems: Designing data solutions on cloud platforms (AWS, Azure, GCP) and distributed frameworks (Spark, Kafka).
• Database Design & Data Modeling: Developing logical/physical data models and optimizing databases (relational, NoSQL, time-series, graph).
• Data Integration & Loading Patterns: Batch, streaming, real-time integration for structured to unstructured data.
• CI/CD & DataOps: Enabling CI/CD and deployment of data services with DevOps tooling.

Skills

Fluency in English

Dutch or French fluency

Analytical thinker

Effective communication

Stakeholder management

Education

Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or related field

Tools

Databricks

Snowflake

Azure

Job description

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We're optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

Job Description

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

• Google Cloud (GCP): Hands-on experience with Google Cloud computing, data, and AI/ML services, including cloud architecture, compute and storage, IAM, cost optimization, and Infrastructure as Code. Experience applying GCP to data engineering and/or machine learning workloads is required.
• 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.