Senior Data Engineer Consultant

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 Masters 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. 

• 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 plus. 

• 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 :

Unfortunately we are unable to provide a work permit for this position. 

Sia is an equal opportunity employer. Employment decisionsincluding hiring promotion remuneration or disciplinary actionsare based solely on performance competence conduct and business needs. 

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. 

Remote Work :

No

Employment Type :

Full-time