Senior Data Engineer Consultant

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:

• 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.