Data Science

pSia 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. /ppIn 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. /ppTo 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. /ph3Responsibilities /h3ulliData 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. /liliCloud Distributed Systems: Designing and implementing data solutions leveraging modern cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark, Kafka). /liliDatabase 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. /liliData Integration Loading Patterns: Implementing best practices for batch, streaming, and real-time data integration, adapting to structured, semi-structured, and unstructured data sources. /liliCI/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. /li /ulh3Within Sia itself you will: /h3ulliDevelop and enhance our Data Engineering offerings through internal training sessions, working groups, and internal/external publications. /liliRepresent Sia at professional events, contributing actively to thought leadership initiatives (articles, white papers, webinars). /liliDrive business development by crafting compelling proposals, identifying new collaboration opportunities, and fostering long-term client relationships. /liliManage client engagements, serving as a trusted advisor and subject matter expert to middle and senior-level management. /liliSupervise and mentor junior to medior consultants, guiding their professional growth, reviewing deliverables, and facilitating the development of technical and interpersonal skills. /li /ulh3Your profile /h3ulliAnalytical thinker with a structured and proactive approach. /liliExperienced communicator capable of clearly articulating complex technical ideas to varied audiences. /liliEffective stakeholder manager, comfortable guiding teams through project delivery. /liliDemonstrated ability to mentor colleagues and facilitate professional development. /li /ulh3Qualifications /h3ulliCompleted WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming. /liliThe specific stack that you will work with will depend on the client but, as an indication, we commonly work with Databricks, Snowflake and Azure. /lili3-6 years of relevant professional experience (or equivalent academic research). /liliStrong analytical mindset with systematic problem-solving abilities. /liliA fast learner who demonstrates strong communication skills, adaptability, and entrepreneurial drive. /liliFluency in English, with excellent communication and presentation abilities. Dutch or French fluency is a must. /liliProven interest in Data Engineering, and relevant sectors such as Energy and Finance. /li /ulh3What do

we offer
? /h3ulliCompetitive salary package, including annual salary increase, bonuses, and flexible mobility options (company car or personalized mobility plan). /liliTailored training and development opportunities to position you as an expert in your field. /liliFlexible working arrangements (office, home, client sites) and international project exposure. /liliCollaborative global environment fostering professional growth and knowled