Senior Data Engineer Consultant
At a glance
Senior Data Engineering role at Sia. Antwerp · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Lead client projects from initial strategy through delivery, shaping data engineering plans with clients and coordinating stakeholders
- Build pipelines and data architectures for large structured and unstructured datasets, covering ingestion, transformation and delivery
- Design cloud and distributed data solutions, data models, database setups and batch, streaming or real-time integrations
- Set up automated deployment and reliability practices for data workflows using CI/CD and DataOps approaches
- Grow the practice through training, publications, proposals and events, while advising clients and coaching junior consultants
What you bring
- A completed WO master’s in a technical field with substantial programming, such as computer science or data science
- Three to six years in relevant work, or equivalent academic research, with a clear interest in data engineering
- Fluent English and professional fluency in either Dutch or French
- Strong communication and stakeholder skills, including experience guiding delivery and developing colleagues
Who this fits
This senior consulting role suits someone who can lead client work, advise management and mentor less experienced consultants. Work is hybrid across office, home and client sites, with international projects. A work permit cannot be provided.
From the employer
Sia is a next-generation, global management consulting group born 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.
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.
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.
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