Senior Data Engineer Consultant

Sia
Brussel, Belgium
1 day ago
Apply on www.careerjet.be
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Languages
Dutch, English, French

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration Data as a Services Data Architecture Information Engineering Data Integration Data Systems Database Design Distributed Computing Environment
+15 more
Distributed Systems Graph Database NoSQL DataOps Data Streaming Unstructured Data Management of Software Versions Google Cloud Snowflake Apache Spark Information Technology Real Time Data Apache Kafka Data Pipelines Databricks

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.

Requirements

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.

Benefits & conditions

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.

About the company

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., 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.be
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · World Congress 2022

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all

Related articles

See all