Senior Cloud Data Engineer - Data Pipelines & AI/ML

Sia; Brussel; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Bonuses

Flexible mobility options

Tailored training & development

Job summary

Sia is recruiting Senior Consultants specializing in Data Engineering solutions. You will lead client engagements, co-design data engineering solutions, manage stakeholders, and ensure impactful project delivery from strategy through execution.

You will develop and enhance Data Engineering offerings, represent Sia at events, drive business development, and mentor junior consultants while collaborating with cross-functional teams across the client landscape.

Qualifications

• Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.
• Databricks, Snowflake and Azure are commonly worked with for client projects.
• 3-6 years of relevant professional experience (or equivalent academic research).
• Strong analytical mindset with systematic problem-solving abilities.
• Strong interest in data and AI-related topics, with ability to quickly build expertise and help clients seize opportunities.
• Fast learner with good communication skills, adaptability and entrepreneurial drive.
• Fluency in English with excellent communication and presentation abilities; Dutch or French fluency is required.

Responsibilities

• Google Cloud (GCP): Hands-on experience with Google Cloud computing, data, and AI/ML services, including cloud architecture, compute and storage, IAM, cost optimization, and Infrastructure as Code.
• Data Architecture & Pipeline Design: Building robust, scalable data pipelines and architectures for ingestion, processing, and delivery of large volumes of structured and unstructured data.
• Cloud & Distributed Systems: Designing data solutions on cloud platforms (AWS, Azure, GCP) and distributed frameworks (Spark, Kafka).
• Database Design & Data Modeling: Developing logical/physical data models and optimizing databases (relational, NoSQL, time-series, graph).
• Data Integration & Loading Patterns: Batch, streaming, real-time integration for structured to unstructured data.
• CI/CD & DataOps: Enabling CI/CD and deployment of data services with DevOps tooling.

Skills

Fluency in English

Dutch or French fluency

Analytical thinker

Effective communication

Stakeholder management

Education

Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or related field

Tools

Databricks

Snowflake

Azure

Job description

Sia is recruiting Senior Consultants specializing in Data Engineering solutions. You will lead client engagements, co-design data engineering solutions, manage stakeholders, and ensure impactful project delivery from strategy through execution.

You will develop and enhance Data Engineering offerings, represent Sia at events, drive business development, and mentor junior consultants while collaborating with cross-functional teams across the client landscape.