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.
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• 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).
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• 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.
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• Data Integration & Loading Patterns: Implementing best practices for batch, streaming, and real-time data integration, adapting to structured, semi-structured, and unstructured data sources.
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• 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.
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Within Sia itself you will:

• Develop and enhance our Data Engineering offerings through internal training sessions, working groups, and internal/external publications.
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• Represent Sia at professional events, contributing actively to thought leadership initiatives (articles, white papers, webinars).
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• Drive business development by crafting compelling proposals, identifying new collaboration opportunities, and fostering long-term client relationships.
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• Manage client engagements, serving as a trusted advisor and subject matter expert to middle and senior-level management.
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• Supervise and mentor junior to medior consultants, guiding their professional growth, reviewing deliverables, and facilitating the development of technical and interpersonal skills.
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Your profile

• Analytical thinker with a structured and proactive approach.
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• Experienced communicator capable of clearly articulating complex technical ideas to varied audiences.
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• Effective stakeholder manager, comfortable guiding teams through project delivery.
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• Demonstrated ability to mentor colleagues and facilitate professional development.
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Qualifications

• Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.
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• 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.
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• 3-6 years of relevant professional experience (or equivalent academic research).
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• Strong analytical mindset with systematic problem-solving abilities.
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• A fast learner who demonstrates strong communication skills, adaptability, and entrepreneurial drive.
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• 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.
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• Fluency in English, with excellent communication and presentation abilities. French fluency is a must.
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• Proven interest in Data Engineering, and relevant sectors such as Energy and Finance.
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