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Join our dynamic team at sia as a Senior Data Science Consultant in Rotterdam, where you will leverage your expertise in data analysis and modeling to drive impactful business decisions. You will collaborate with cross-functional teams to develop innovative data-driven solutions, and your insights will shape the future of our projects.
sia is a forward-thinking consultancy that specializes in harnessing the power of data to create strategic advantages for our clients. Our team is composed of innovative thinkers and industry experts dedicated to driving growth and efficiency through data science.
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Join our dynamic team as a Data & Analytics Consultant at sia, where you will leverage data-driven insights to empower businesses in making strategic decisions. In this role, you will work closely with clients to analyze their data, identify trends, and provide actionable recommendations that drive performance and growth.Your expertise in analytics will help…
The Amsterdam Data Science team is a vibrant and rapidly expanding group that thrives on diversity and collaboration. As a Data Science Consultant, you will work closely with multidisciplinary teams, leveraging advanced analytics and machine learning techniques to address intricate business challenges and deliver meaningful solutions. Our flat organizational structure fosters initiative, entrepreneurial spirit, diversity, well-being, and knowledge sharing, enabling us to grow collectively.Key Responsibilities:Engage with team members to pinpoint business challenges and derive actionable insights from data.Design and implement statistical models, optimization strategies, and advanced machine learning algorithms.Utilize Generative AI and large language models to develop innovative solutions.Effectively present analytical findings and support client workshops.
Are you ready to lay the groundwork for tomorrow's data solutions at the iconic Van Nelle Factory in Rotterdam? In a world where data is abundant, finding reliable information is a rarity. At KVL, we believe that a dashboard gains its value only when backed by a solid data architecture. As a Data Analytics Engineer, you will be both the architect and the builder. Your role involves transforming business questions into clean, scalable data models within a modern data stack.What We Offer YouSalary: Your indicative salary at this level ranges from €3,800 to €5,890 (based on experience). Your salary will evolve with your development and commitment, with the potential to grow to €8,480 (Master's level);Collaboration with KVL Colleagues: Work closely in a tight-knit team at the client site, supported by experienced KVL colleagues;Development: Enjoy substantial responsibilities and opportunities for growth through an entrepreneurial plan and T-Shaped development;Knowledge Sharing: Stay updated through intensive knowledge-sharing events with fellow KVL Data Engineers;Secondary Employment Conditions: 26 vacation days, pension scheme, reimbursement for laptop and phone, corporate fitness, and a work-from-home budget;Mobility: Company car or public transport subscription.Company Culture: A warm, people-oriented culture focused on personal growth and job satisfaction, complemented by regular fun activities and social gatherings with colleagues;Social Impact: Work for socially engaged organizations like Mercy Ships Holland and Stichting Jarige Job.Working as a Data Analytics Engineer at KVLAt KVL, you operate at the intersection of data engineering and analytics. While pure engineers focus on the pipeline, you begin by structuring the truth. Your goal is to ensure that data is not just 'available' but also 'usable'.You will work with cutting-edge technologies such as Microsoft Fabric, Azure, and Databricks. Your responsibilities include ingesting data, structuring, and modeling it (think Star schemas or Data Vault) for our clients ranging from ambitious medium-sized companies to large players who can rely on their reports. You apply software engineering principles to data: version control, testing, and automation are the norm for you, not the exception.Kaspar, KVL Data Analytics Engineer at KVL: "At KVL, I am not only the engine behind the pipelines but the architect of a reliable foundation in Databricks; I transform raw data into a platform that genuinely adds value to the entire organization."
Datashift
At Datashift, we are an ambitious consultancy team dedicated to providing data-driven solutions that address critical business challenges. Since launching our Rotterdam office in early 2025, we have been committed to enhancing our support for clients across the Netherlands while driving our expansion.We are currently seeking a seasoned Data Governance Lead to join our rapidly growing practice. In this pivotal role, you will guide our clients in maximizing the value derived from their data solutions.Key Responsibilities:Develop Data Governance Roadmaps: Collaborate with clients to create actionable and prioritized data governance project roadmaps, adapting strategies based on contextual needs.Lead and Mentor: Inspire and guide a team of consultants, fostering a collaborative environment and ensuring successful project execution.Execute Data Governance Projects: Take ownership of project delivery to enhance data quality, compliance, and management practices.Shape Service Offerings: Partner with the Domain Lead to establish best practices and accelerators in data governance, contributing to both internal knowledge sharing and industry thought leadership.
Join Sia's dynamic Energy team in Rotterdam, where you'll be welcomed into an environment that thrives on innovation and adaptability in the fast-evolving energy market. As a Consultant, you'll engage in a variety of impactful projects, including forecasting, data analytics, market entry studies, operational optimization, and energy transition initiatives. Your contributions will play a vital role in shaping solutions that drive meaningful change.In your role, you will typically operate as a Business Analyst or PMO while collaborating closely with clients. Your primary responsibilities will involve defining and analyzing the requirements necessary for effective solutions. By fostering communication with all relevant stakeholders, you will help identify optimal strategies while gaining valuable insights into the energy sector and the client's unique challenges.
Join our dynamic and diverse Data Science team at Sia, where innovation meets collaboration. As a consultant data engineer, you will take the lead in shaping our team's future and contribute to a variety of client projects while developing our proprietary AI solutions alongside our French Data Engineering team.In this role, you will:Design and implement cloud architectures using GCP, AWS, and Azure, focusing on storage and compute services, cost optimization, and Infrastructure as Code.Utilize Docker and Kubernetes for containerization and orchestration tailored to Data Science workloads.Develop server-side tools in Python for bulk data processing and REST APIs.Manage CI/CD processes to ensure smooth deployment of applications and support Data Science projects at client sites.Create and optimize ETL scripts for data pipelines in Big Data environments.Implement and monitor infrastructures and services that enhance Machine Learning workflows.
Join our dynamic team at sia as a Data Engineer Consultant, where you will play a pivotal role in transforming data into actionable insights. You will leverage your technical expertise to design and implement data solutions that drive business success. Collaborate with cross-functional teams to understand their data needs and deliver solutions that enhance decision-making processes.
As part of our ongoing growth, Sia is seeking experienced Senior Data Science Consultants to join our dynamic data science team. You will collaborate closely with various practices to tackle complex modeling tasks aimed at addressing our clients' challenges related to:Machine Learning and Statistics: Design and develop both explanatory and predictive decision support models, utilizing supervised and unsupervised learning algorithms, econometrics, forecasting, and quantitative diagnosis.Operational Research: Create and implement optimization solutions within constraints, alongside simulation models.Big Data: Leverage algorithmic expertise for the effective processing of vast volumes of unstructured data.In your operational role and contributions to our internal development efforts, you will:Enhance and develop our service offerings through training, collaborative working groups, and the dissemination of knowledge via internal and external media.Contribute to the firm’s presence in the industry by actively participating in our publication initiatives (articles, studies, etc.) and representing Sia at various professional clubs, exhibitions, and events.Drive business growth by designing and developing commercial proposals while identifying new collaboration opportunities with our clients.Oversee end-to-end project management, ensuring consistent reporting to both the manager and the client to uphold our commitments.Build and maintain strong relationships with client contacts at the middle management level, establishing yourself as a recognized expert in your field.Mentor and supervise consultants, from juniors to seasoned professionals, acting as a point of reference for the manager regarding project follow-ups, validating deliverables, assessing achievements, and fostering their professional development.
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.
Join our innovative team at sia as a Data Science Consultant, where you will leverage your analytical skills to provide data-driven insights and solutions for our clients. You will work closely with our clients to understand their needs and deliver tailored strategies that drive business growth. If you are passionate about data science and eager to make an impact, we want to hear from you!
Join our dynamic team as a Senior Data Engineer Consultant at sia. In this pivotal role, you will leverage your extensive expertise in data engineering to drive innovation and create data-driven solutions that empower our clients. Your responsibilities will include designing robust data pipelines, ensuring data quality, and collaborating with cross-functional teams to implement cutting-edge technologies.
Full-time, RotterdamAre you technically savvy, curious, and ready to explore AI, data, and cutting-edge technologies? As a Junior Technical Consultant in AI & Data at 2cnnct, you will have the freedom to develop innovative solutions, create prototypes, and assist clients in maximizing their data and digital opportunities.What will you do as a Technical Consultant in AI & Data?You will be the technical pioneer on projects, collaborating closely with business analysts and clients. You thrive on the question, “How can we make this technically possible?” and transform ideas into functional solutions. Your responsibilities will include:Experimenting with AI technologies such as Generative AI, LLMs, and RAG solutions.Building prototypes and proof-of-concepts that add immediate value.Unlocking and integrating data from various systems (data integration & APIs).Working with cloud platforms (such as Azure) and modern AI frameworks.Advising clients on technical possibilities and implementing solutions yourself.
Join our dynamic team at sia as a Senior Data Science Consultant in Rotterdam, where you will leverage your expertise in data analysis and modeling to drive impactful business decisions. You will collaborate with cross-functional teams to develop innovative data-driven solutions, and your insights will shape the future of our projects.
Join Datashift, a rapidly expanding consultancy firm dedicated to providing data-driven solutions that address critical business challenges. Our new Rotterdam office, established in early 2025, enhances our support for clients across the Netherlands and propels our growth trajectory.Position OverviewWe are in search of a talented Data Governance Consultant to become a key player in one of our most dynamic practices. Your expertise will be vital in assisting our clients to maximize the advantages of their data solutions.Key ResponsibilitiesProvide Expert Guidance – Advise organizations on data governance best practices, helping them to articulate and execute data governance strategies, including policies, roles, and processes.Engage with Stakeholders – Act as a liaison between technical teams and business users, conducting workshops to understand client challenges, enhance adoption, and showcase the benefits of data governance.Lead Implementation Projects – Collaborate closely with clients on data governance initiatives, which may involve the configuration of platforms such as Collibra.Evaluate and Enhance Practices – Assess the current maturity of clients’ data governance frameworks, propose enhancements, and aid in the rollout of scalable solutions that improve data quality, lineage, and compliance.
Are you the seasoned Data Analyst who excels in unlocking and transforming data to create impactful insights? Are you seeking a role that combines depth with breadth, allowing you to fully utilize your 'full-stack' expertise in data—from raw data to strategic advice? KVL is on the lookout for a Senior Full-Stack Data Analyst & Consultant who will take the lead in complex data projects and help our clients become data-driven leaders.At KVL, we believe that the most valuable insights stem from a comprehensive understanding of the entire data chain. As a Senior Full-Stack Data Analyst, you transcend traditional roles by not only analyzing data but also actively contributing to the data infrastructure that enables these analyses. You will be the linchpin connecting data from source to strategic advice while also mentoring and inspiring our talented team members.
Veneficus BV
Are you passionate about working with algorithms? Do data-driven predictions excite you? If so, we want to hear from you! As Veneficus is expanding, we are seeking a Senior Data Scientist who is proactive and eager to make an impact.Your Role:We offer challenges, development opportunities, and enjoyment in your daily work. By connecting you with the right assignments that align with your aspirations and ambitions, we provide the space for you to unleash your full potential. With a personalized development plan, a generous development budget, and monthly updates with your Talent Manager or Account Manager, your growth is our priority!As a Data Scientist, you will join a team of approximately 50 specialists and collaborate directly with customers, making the experience even more enjoyable! We have an extensive network of clients across various sectors, including pensions and insurance, retail, government, transport, and real estate.At Veneficus, you will work on multiple projects that can last from 3 months to 2 years. Where you work is flexible and can be at our office, at the client’s location, or from the comfort of your home.Your daily tasks will vary depending on the project and client needs, but generally, you will be engaged in:Contributing to formulating the problem statement and developing a plan of action, often getting involved from day one.Exploring, visualizing, and analyzing data, resolving any irregularities.Identifying patterns in data and selecting the best statistical methods (e.g., regression, Bayesian modeling, machine learning, cluster analysis) for solving complex issues.Establishing, training, testing, and documenting the chosen methods.Implementing predictive algorithms and setting up production workflows for client projects.Reporting and sharing insights and knowledge derived from data and models, ensuring accurate translation to business needs.Collaborating on spotting new opportunities to enhance or innovate existing data projects.Migrating data projects to the cloud or new data platforms.Example Project: Inspecting log data from industrial machines to analyze failure patterns since their last service check, allowing for better predictions regarding necessary part replacements.
Datashift
Datashift is an innovative consultancy firm dedicated to transforming data into actionable insights for businesses. Established in early 2025, our Rotterdam office further enhances our ability to support clients across the Netherlands and fuel our expansion.OpportunityWe are seeking a talented Data Governance Engineer to join our rapidly expanding Data Governance & Quality practice. In this pivotal role, you will assist our clients in maximizing the value of their data through the development of effective governance frameworks and the enhancement of data management and quality processes.Key Responsibilities:Consult on Data Governance: Guide clients in implementing best practices for data governance by design, integrating policies, data quality, and access controls from the early stages of the data lifecycle. Utilize workflows, automation, CI/CD, and platforms like Collibra and Purview to embed governance into data pipelines.Automate Technical Metadata Capture: Streamline the extraction of technical metadata and lineage from source systems into data governance platforms.Data Quality Tool Implementation Support: Provide advice on the deployment of data quality tools such as Collibra Data Quality, Soda, Monte Carlo, or Great Expectations.Develop Maintainable Data Solutions: Create sustainable data solutions, including metadata pipelines and data profiling scripts.
Datashift
Datashift is expanding its consultancy services in Rotterdam, Zuid-Holland, supporting organizations throughout the Netherlands with data-driven solutions. Since opening the Rotterdam office in early 2025, the team has strengthened its ability to help clients address complex business needs through better data practices. Role Overview The team is looking for an experienced Collibra Consultant to help clients build, implement, and improve data governance frameworks using Collibra as the core platform. This position plays a key role in shaping how organizations manage and govern their data. Main Responsibilities Client Advisory on Data Governance: Guide organizations in designing and setting up effective data governance frameworks. Translate policies, roles, and processes into Collibra configurations that work in practice. Stakeholder Collaboration: Act as a bridge between technical teams and business stakeholders. Run workshops to gather requirements, support user adoption, and demonstrate how Collibra can improve data governance. Collibra Solution Implementation: Lead and manage initiatives focused on Collibra. Tasks include configuring the platform, defining operating models, setting up workflows, ingesting metadata, and managing integrations. Assessment and Enhancement: Review clients’ current data governance maturity, identify gaps, and help roll out scalable Collibra solutions. Support improvements in data quality, lineage, ownership, and regulatory compliance.
Anthony Veder
Are you a data and business enthusiast eager to leverage data for impactful decisions? If so, seize the opportunity to join Anthony Veder as a Data Analyst!Join Us in Shaping a Sustainable FutureAt Anthony Veder, we are at the forefront of the transition towards a sustainable future. Our commitment to challenging the status quo drives us to continuously innovate and develop cutting-edge technological and logistical solutions that empower our clients to achieve their objectives.Our culture thrives on trust, openness, and creativity, with a strong focus on long-term goals. This commitment has established us as pioneers in the maritime industry. To fulfill our vision of being a leader in gas shipping service solutions, we recognize the critical role of data-driven innovation and decision-making within our organization. Consequently, we have established the Data & Analytics team, dedicated to fostering a data-centric culture.The Data & Analytics team is tasked with maximizing value through the strategic use of data and analytics, while ensuring a robust data foundation for our operations in governance and architecture. We manage a comprehensive data platform that serves as a single source of truth for all data consumers, providing insights essential for overcoming business challenges and integrating these insights into operational processes.Your Responsibilities• Analyze business needs to better identify challenges and risks, making informed decisions based on data insights.• Collaborate with team members to continuously enhance workflows and maximize organizational value.• Deepen understanding of internal challenges and opportunities, providing actionable insights while supporting team organization around these insights.• Promote data literacy and foster a culture of data-driven decision-making throughout Anthony Veder.• Develop standards, guidelines, and procedures to ensure the efficient and effective delivery of insights to the organization.• Engage in data modeling and platform maintenance, providing first-line support and implementing minor adjustments as necessary.
Crunch Analytics
Crunch Analytics seeks a Lead Senior Data Engineer to join the team in Rotterdam, Zuid-Holland. This position focuses on building and maintaining reliable data pipelines and platforms, ensuring that data-driven insights lead to meaningful decisions for clients. Data engineering sits at the core of Crunch Analytics’ mission, bridging the gap between algorithms and real-world impact. Key Responsibilities Design and implement data pipelines and infrastructure that are scalable, dependable, and easy to maintain. Make foundational architectural decisions early in projects to support long-term sustainability and foster client confidence. Guide the team in selecting the most suitable tools and strategies, such as choosing between Iceberg and traditional data warehouses or weighing a lean dbt model against a large Spark job. Mentor mid-level engineers, sharing expertise and raising the standard for the team. Challenge existing architectural assumptions and advocate for improvements when needed. Collaborate closely with clients from the initial concept phase through to a fully operational data platform. Requirements Proven experience designing and building sustainable data pipelines and platforms. Comfort making architectural decisions and explaining those choices to both technical teams and clients. Strong mentoring skills and a collaborative approach to team development. Ability to navigate trade-offs between different data engineering tools and methodologies. Willingness to engage in both hands-on engineering and high-level architectural planning. Working at Crunch Analytics Crunch Analytics helps organizations become truly data-driven. The team values clear, sustainable solutions over quick fixes and focuses on building data infrastructure that clients can trust for years to come.
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