Sia logoSia logo

Senior Data Engineer Consultant

SiaRotterdamNew
On-site Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Experience Level

Mid to Senior

Qualifications

Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field with significant programming involvement. Experience with stacks such as Databricks, Snowflake, and Azure, which may vary by client.3-6 years of pertinent professional experience or equivalent academic research. Possess a strong analytical mindset with systematic problem-solving capabilities. Demonstrate a keen interest in data and AI-related topics, with an ability to quickly develop expertise in these areas, and a passion for helping clients seize opportunities. A fast learner exhibiting strong communication skills, adaptability, and an entrepreneurial spirit. Fluency in English is essential, with excellent communication and presentation skills; proficiency in Dutch or French is a plus.

About the job

In response to our expanding operations, we are on the lookout for experienced Senior Consultants who specialize in Data Engineering solutions. You will take the lead in client engagements, collaboratively co-designing data engineering solutions with clients, managing stakeholders effectively, and ensuring that project delivery is impactful from strategy to execution.

Key Responsibilities:

  • Data Architecture & Pipeline Design: Create robust and scalable data pipelines and architectures to facilitate the efficient ingestion, processing, and delivery of vast amounts of structured and unstructured data.

  • Cloud & Distributed Systems: Conceptualize and implement data solutions using modern cloud platforms (such as AWS, Azure, GCP) and distributed computing frameworks (like Spark, Kafka).

  • Database Design & Data Modeling: Develop both logical and physical data models, optimizing database solutions for various data types and workloads, including relational, NoSQL, time-series, and graph databases.

  • Data Integration & Loading Patterns: Adopt best practices for batch, streaming, and real-time data integration, adjusting to structured, semi-structured, and unstructured data sources.

  • CI/CD & DataOps Practices: Facilitate continuous integration and deployment of data services and infrastructure utilizing modern DevOps tools to ensure reliability, versioning, and automation in data workflows.

Within Sia, you will also:

  • Advance our Data Engineering offerings through internal training sessions, working groups, and both internal and external publications.

  • Represent Sia at professional events, contributing to thought leadership initiatives such as articles, white papers, and webinars.

  • Drive business development by crafting compelling proposals, identifying new collaboration opportunities, and nurturing long-term client relationships.

  • Manage client engagements, acting as a trusted advisor and subject matter expert to middle and senior-level management.

  • Mentor junior to mid-level consultants, guiding their professional development, reviewing deliverables, and fostering the growth of both technical and interpersonal skills.

About Sia

Sia is a pioneering global management consulting group, digitally born and augmented by data, enhanced through creativity, and driven by a sense of responsibility. We partner with clients to tackle challenges and seize opportunities. In a rapidly changing world, we believe that optimism can be a powerful catalyst for success.

Similar jobs

Browse all companies, explore by city & role, or SEO search pages. View directory listings: all jobs, search results, location & role pages.

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.