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Senior Data Engineer

Antwerpen, Vlaanderen, Belgium

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What you’ll work on

Full posting
  • Develop and enhance our Data Engineering offerings through internal training sessions, working groups, and internal/external publications.

  • 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.

From the employer’s posting
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).
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.
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.

What you’ll bring

All qualifications

Core experience

  • 3-6 years of relevant professional experience (or equivalent academic research).
Qualification wording
3-6 years of relevant professional experience (or equivalent academic research).

Tools in this posting

  • AWS
  • Azure
  • Databricks
  • Google Cloud (GCP)
  • NoSQL
  • Snowflake
  • Spark
  • Kafka
Source — Tool mentions in context
- 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.
- 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).
- 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.

Job description

View original posting ↗

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. 

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. 

  • 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

Non-Dutch speaker will no be accepted

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. 

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. 

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.

In 2009 the office in Amsterdam was opened, which is now situated at the 28th floor of the Rembrandt Tower with a great view on the city of Amsterdam. We focus on the following sectors: Energy & Utilities, Financial Services, Marketing & Customer Experience, Data Science and  HR, Transformation & Change. The Dutch team is experiencing strong growth and has now built up an impressive client portfolio, supported by and cooperating with colleagues from our international offices. Sia Netherlands employs approximately 60 consultants.

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Source & posting history

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Pay

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Location & working pattern

Antwerpen, Vlaanderen, Belgium

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Work authorization
Additional Information We are unable to provide a work permit for this position Non-Dutch speaker will no be accepted
Status in our records
Active
First seen by us
Oct 8, 2026
Recorded sightings
6

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