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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.
At sia, we are dedicated to innovation and excellence in data-driven solutions. Based in Rotterdam, we pride ourselves on our collaborative culture and commitment to personal and professional development. Join us and be part of a team that values creativity and forward-thinking.
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Veneficus BV
Are you seeking a unique balance between a permanent position and freelance work? At Veneficus, we provide you with the best of both worlds: ultimate freedom alongside the security of a steady job. VF Professionals ensures that you work on exciting projects with various clients, offering high earnings (fixed base salary plus variable bonuses) and the opportu…
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.
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.
Are you ready to tackle complex data projects where your expertise truly makes a difference? As a Senior Data Engineer at KVL, you will transform challenging data issues into innovative, scalable data platforms while collaborating closely with clients and colleagues. This role offers the ideal blend of technical challenges, teamwork, and growth opportunities, with the potential to advance to the role of Lead Data Engineer.What We Offer YouSalary: Your indicative salary at this level ranges from €5,100 to €7,380, with opportunities for growth up to €8,480 (Master level) based on your development and commitment.Development: A wealth of responsibility and opportunities for professional growth through an entrepreneurial plan and T-Shaped development.Knowledge Sharing: Inspirational sessions to exchange experiences and insights with colleagues on the latest technologies.Secondary Benefits: 26 vacation days, pension scheme, laptop & phone allowance, company fitness.Mobility: Company car or public transport allowance.Company Culture: A warm, people-centric culture that prioritizes your personal growth and job satisfaction, along with regular fun activities and social gatherings with colleagues.Social Impact: Work for socially committed organizations such as Mercy Ships Holland and Stichting Jarige Job.Your Role as Senior Data EngineerIn this position, you will engage with challenging data projects that have a real impact. You will convert complex data challenges into practical, scalable solutions and develop data platforms based on MS Azure technologies including Databricks, Synapse, Fabric, and Data Factory. Collaboration with data scientists, software engineers, and clients is key; you will ensure that data is utilized reliably, accessibly, and valuably. Additionally, you will mentor junior and mid-level engineers, share your expertise, and contribute to the team's overall success. This role allows you to excel technically while also exploring your leadership capabilities.Growth Perspective: Lead Data EngineerDo you want to have a greater impact and lead data experts? From the Senior Data Engineer position, you can progress to Lead Data Engineer. In this role, you will manage a team, advise clients on data architecture, and work on challenging data platforms within the Microsoft Cloud Stack. For candidates with the right experience, this is a role you can step into directly, combining hands-on execution with leadership and involvement in pre-sales processes, becoming the face of...
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 Team as a Senior Big Data Engineer!About Our Product and Team:Become a key player in the Polaris team, where we turn Swisscom's raw network data into valuable insights that will influence the future of telecommunications in Switzerland. Collaborating with a diverse group of software engineers, data engineers, and data scientists, you will help to create innovative data and AI products that are crucial for the strategic deployment and planning of Swisscom's mobile network. Our team is driven by innovation, a shared passion for tackling complex challenges, and delivering meaningful solutions.We believe in continuous learning and professional development, offering exciting opportunities to work on cutting-edge projects and expand your expertise. We value diversity and encourage team members to share their unique perspectives, fostering a collaborative and enriching work environment. Your Role as a Senior Big Data Engineer:Design, implement, optimize, and maintain scalable data pipelines.Analyze complex data structures and business requirements to develop target data architectures and transformations.Work closely with cross-functional teams and stakeholders to deliver user-centric data products.Engage in continuous learning and apply new data engineering techniques to improve project outcomes.Effectively communicate findings and technical concepts to both technical and non-technical audiences.Implement regular security updates, enhance infrastructure stability, and conduct continuous performance monitoring to ensure robust and secure operations.
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.
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.
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."
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 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.
Role overview KPN is looking for a Data Engineer to join the team in Rotterdam. The position centers on designing and building data solutions that support informed decision-making across the organization. The main goal is to create dependable systems that ensure data remains accurate, accessible, and ready for analysis when needed. What you will do Design and implement data pipelines and data architecture Use modern data technologies to address business requirements Maintain high standards for data quality, accessibility, and usability Location This role is based in Rotterdam.
Dept is looking for a Data Engineer Intern to join the team in Amsterdam or Rotterdam. This internship offers practical experience in data engineering and the chance to contribute to real projects alongside experienced colleagues. What you will do Work on data integration, analytics, and visualization tasks as part of ongoing projects Collaborate with professionals in the field to solve technical challenges Apply and develop technical skills while learning about current tools and technologies in data engineering Who this role is for Individuals interested in data engineering and eager to start a career in this area Those looking to gain hands-on experience and learn from skilled team members This internship focuses on learning through direct involvement in project work. Candidates will have opportunities to build technical knowledge and contribute to meaningful outcomes.
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.
Are you excited about a role where data analytics, cloud, and AI intersect? Do you want to contribute as a Data Engineer to the digital backbone of the Dutch ports and work on modern data and AI solutions with immediate impact? If so, read on!Your Role:As a Data Engineer within the Data Analytics Team, you will be integral in building the foundation of data and AI solutions at Portbase. You will contribute to a modern cloud-based Lakehouse and will be involved in all stages from ideation and design to production of data products used both internally and externally.Your responsibilities will include:Developing and maintaining batch and real-time data pipelines using Python, SQL, and Apache Spark.Working on a modern cloud-based Lakehouse in AWS and Databricks.Ingesting and processing real-time events and large data streams.Developing and supporting AI solutions such as ML models, RAG chatbots, and vector search.Automating infrastructure and platform components using Infrastructure as Code with Terraform.Setting up and enhancing CI/CD pipelines for data, AI, and infrastructure deployments.Ensuring data quality, security, lineage, and governance within the data platform.You will work in a multidisciplinary team with significant autonomy and influence over architecture, standards, and innovation.About the Data Analytics Team:The Data Analytics Team is a multidisciplinary group consisting of Analytics Engineers, a Business Analytics Translator, a Tech Lead, and a Product Owner. The team collaborates closely with the entire organization and occasionally with external clients. The team is responsible end-to-end: from idea and design to realization and production. With minimal dependencies on other technical teams, we can deliver quickly, and the impact of our work is immediately visible.Your week will consist of alternating between building and maintaining pipelines and AI solutions, refinement sessions, stand-ups, and meetings with stakeholders and data owners.Who are we?Portbase is the digital engine behind the Dutch ports. With our Port Community System (PCS), we connect hundreds of parties in the logistics chain (from terminals and carriers to governments) to ensure goods are transported safely, efficiently, and reliably.
veneficusbv
Are you nearing graduation and ready to take the next step in your career? Do you find yourself asking: “What’s next?”Do you want to move beyond theory and truly apply your knowledge in practice? If so, our Data Traineeship is the perfect launchpad for you.At our company, you will not experience a standard traineeship; instead, you will embark on an intensive learning journey that enables you to make significant progress in a short time. You will develop both your technical and personal skills while learning how to translate theoretical knowledge into tangible solutions for real business challenges. This will lay a solid foundation for a successful career in data and AI.What Will You Do?During the traineeship, you will begin with an intensive four-week development phase focused on learning and doing.You will acquire hard skills such as:PythonSQLMachine LearningPower BISimultaneously, you will work on essential soft skills, including:CommunicationCollaborationPresentationProfessional conductTogether with fellow trainees, you will undertake a collective practical assignment that allows you to apply everything you learn right away, making the transition from theory to practice from day one.After this development phase, you will work with one of our clients, tackling real data challenges, including analyses, dashboards, data modeling, and reporting. You will never be alone; a Talent Manager will guide you to help you get the most out of yourself.Potential Roles Include:Data EngineerData ScientistAI EngineerData AnalystBusiness Intelligence SpecialistMachine Learning SpecialistWithin a year, you will grow into a fully-fledged Data Expert.What Do You Get in Return?We ensure that you can fully focus on learning, growing, and performing:A permanent contract from day oneStarting salary of €2,600, increasing to €3,300 within a yearBonus upon starting your assignment25 vacation days + 8% vacation payHome office allowance of €50 per monthWellness budget of €30 per monthMultiple salary growth opportunities throughout the yearPension through STIPP + additional insuranceNS-Business cardLaptop + complete home office setupHybrid and remote working options availableComprehensive development path (technical and soft skills)Reunion days, social events, and team outingsEvents with fellow trainees and senior consultantsPaid to learn from day one
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.
Are you a skilled and passionate Data Engineer with 2-6 years of experience eager to extract valuable insights from data? At KVL, you will construct data pipelines and infrastructures where your expertise in ETL scripts and data quality is essential in delivering reliable data solutions and platforms. If you have a strong interest in MS Azure and are keen to work with technical infrastructures, KVL is the perfect place for you. Every day as a Cloud Engineer brings new challenges and opportunities. With over 25 years of experience in Data & Analytics, we provide the chance to elevate your skills to the next level.What We Offer:Salary: Your indicative salary at this level ranges between €3,800 and €5,890 (depending on experience). Your salary will grow alongside your development and commitment, with the potential to reach €8,480 (Master’s level);Collaboration: Work closely with a dedicated team at the client site, supported by experienced KVL colleagues;Development: Take on significant responsibilities and opportunities for growth through an entrepreneurial plan and T-Shaped development;Knowledge Sharing: Stay current through intensive knowledge-sharing events with fellow KVL Data Engineers;Additional Benefits: 26 vacation days, pension scheme, laptop & phone allowance, corporate fitness, and home office budget;Mobility: Lease car or public transport subscription.Company Culture: A warm, people-oriented culture where your personal growth and job satisfaction are priorities. Additionally, enjoy regular fun activities and social gatherings with colleagues;Social Impact: Work for socially engaged organizations like Mercy Ships Holland and Stichting Jarige Job.Your Role as a Data Engineer:As an experienced Data Engineer at KVL, you will advise, develop, and maintain data solutions for our clients. You will unlock data from various sources, model it, and build the infrastructure that enables clients to optimally leverage their data. You will primarily work with technologies based on the Microsoft Stack (MS Fabric, Azure Synapse, DataBricks, Azure Data Factory) and utilize your skills in SQL, Python, data modeling, and tools such as Power BI, Tableau, and Qlik. You will also work on unlocking APIs and have a strong affinity for data infrastructure. You understand how data flows within a modern architecture (bronze, silver, gold) and how to effectively set up these layers for dependable and scalable analytics.Daily, you will participate in stand-ups, address backlog items, and ensure clear documentation for the benefit of your colleagues. Additionally, you will coach junior colleagues and contribute to their development.
Veneficus B.V.
Ben jij een data-expert die altijd op zoek is naar manieren om processen te optimaliseren? Bij Veneficus bieden we jou de ideale kans om jouw vaardigheden in te zetten in uitdagende projecten!Wat ga je doen?Als Data Engineer bij Veneficus ben je essentieel in het proces van het verzamelen, structureren en toepassen van data in verschillende sectoren, waaronder financiën, verzekeringen, retail, transport, overheid, logistiek en energie. Jouw bijdrage aan complexe data-oplossingen zorgt ervoor dat onze klanten daadwerkelijk impact ervaren.Je verantwoordelijkheden omvatten onder andere:Het opzetten van ETL-processen en het ontwikkelen van data pipelines;Het ontwerpen, bouwen en onderhouden van data-architecturen en -modellen;Het operationaliseren van modellen zodat onze klanten deze direct kunnen gebruiken;Het implementeren van datamanagementtechnologieën en cloudoplossingen zoals Azure en AWS;Samenwerken in een Agile, Scrum of DevOps-team om de data optimaal te benutten.Wij zorgen ervoor dat je aan een project werkt dat aansluit bij jouw expertise en ambities. Projecten variëren van drie maanden tot een jaar, en je hebt de mogelijkheid om hybride te werken: thuis, bij de klant of op ons kantoor.Wat breng jij mee?Een diploma in Econometrie, Informatica, Software Engineering of een vergelijkbare richting;Minimaal 3 jaar ervaring in een soortgelijke rol;Uitgebreide kennis van Python en SQL;Ervaring met cloudplatforms zoals Azure en AWS;Kennis van tools zoals Hadoop, Spark, Docker en Git;Je beschikt over een geldig Nederlands paspoort;Vloeiende beheersing van de Nederlandse taal op C2-niveau;Je woont in de Randstad of Brabant en reist graag;Je bent beschikbaar voor 40 uur per week.Wat krijg je ervoor terug?Salaris tussen de €3.500 en €6.000 bruto per maand, direct met een vast contract;25 vakantiedagen (op basis van fulltime);Hybride werken met een thuiswerkvergoeding van €50 netto per maand;Een persoonlijk ontwikkelplan en opleidingsbudget om jouw vaardigheden verder te verbeteren;NS-Businesscard;Een laptop en alle benodigdheden voor een goede thuiswerkplek;Een vitaliteitsbudget van €30 per maand voor jouw mentale en fysieke gezondheid;
The Nielsen Company
Join The Nielsen Company as a Senior Data Analyst and play a pivotal role in transforming data into actionable insights. You will collaborate with cross-functional teams to leverage data analytics in decision-making processes, thereby enhancing business strategies.
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