Senior Data Engineer Consultant

Posted Yesterday
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Brussel, BEL
Hybrid
Senior level
Healthtech • Professional Services • Consulting • Generative AI • Manufacturing
The Role
Lead client engagements and design scalable data engineering solutions across cloud, distributed systems, databases, data integration, and DataOps. Build pipelines and architectures using platforms such as GCP, AWS, Azure, Databricks, and Snowflake. Manage stakeholders, deliver projects, develop consulting offerings, support business development, represent the firm externally, and mentor junior consultants.
Summary Generated by Built In
Company Description

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.

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:  

  • 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. Experience applying GCP to data engineering and/or machine learning workloads is required.
  • 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 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. 

Additional Information

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. 

Skills Required

  • Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, Engineering, or a related technical field involving substantial programming
  • 3-6 years of relevant professional experience or equivalent academic research
  • Hands-on experience with Google Cloud computing, data, and AI/ML services
  • Experience applying GCP to data engineering or machine learning workloads
  • Experience with data architecture, scalable data pipelines, and distributed systems
  • Experience with batch, streaming, and real-time data integration
  • Experience with CI/CD and DataOps practices
  • Strong analytical and systematic problem-solving abilities
  • Strong communication and presentation skills
  • Fluency in English
  • Fluency in Dutch or French
  • Strong interest in data engineering and AI-related topics
  • Adaptability and entrepreneurial drive

Sia Partners Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sia Partners and has not been reviewed or approved by Sia Partners.

  • Healthcare Strength Core medical coverage includes medical, dental, and vision alongside life and AD&D, an Employee Assistance Program, and wellness resources. Multiple plan options and access to supportive services indicate robust healthcare support.
  • Parental & Family Support Fully paid parental leave for eligible employees and family‑support resources are highlighted. These offerings signal meaningful support for new parents.
  • Leave & Time Off Breadth A generous PTO policy is paired with company and floating holidays. This combination suggests ample time‑off flexibility beyond standard leave.

Sia Partners Insights

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The Company
HQ: Paris
3,323 Employees
Year Founded: 1999

What We Do

Sia Partners is a next generation management consulting firm and pioneer of Consulting 4.0. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients. Counting 1,800 consultants in 18 countries, we expect to achieve USD 300 million in turnover for the current fiscal year. With a global footprint and expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation.

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