Senior Electrical Engineer

Drive Data-Driven Transformation at RiverflexAt Riverflex, we empower organizations to harness the full potential of their data using scalable, cloud-native platforms and cutting-edge analytics solutions. We are seeking a Senior Manager of Data Engineering to join our Intelligence & Data (I&D) practice, where you will play a pivotal role in enhancing our data engineering capabilities, leading complex client projects, and nurturing high-performing teams.In this leadership position, you will leverage your extensive technical knowledge alongside strategic vision. You'll design enterprise-scale data platforms, guide teams in the delivery of comprehensive data solutions, and serve as a trusted advisor to clients, facilitating impactful, data-driven transformations across various sectors.Why Join Riverflex?Collaborative Community: Be part of a vibrant and dynamic team that values social connections and teamwork, fostering an inclusive environment.Global Diversity: Work in an international setting where diverse backgrounds and perspectives enrich our collective experience.Ownership and Impact: Enjoy the autonomy to take ownership of projects, drive significant results, and make a lasting impact in the evolving field of data engineering.Professional Development: We are committed to your growth, offering tailored opportunities to advance your career and stay ahead in data engineering innovation through continuous learning.

Are you an accomplished engineering leader with expertise in data platforms and a drive for innovation? At Budget Thuis, we are embarking on an exciting data modernization journey aimed at unlocking real-time insights and AI capabilities while enhancing data governance to ensure safe scaling of our data utilization. We are seeking an individual who not only architects solutions but also builds and nurtures a talented team, spearheads transformation, and breathes life into data.Your Role:As the Senior Engineering Manager for the Data Platform, you will be the cornerstone of our product and analytics initiatives. Your responsibilities will include designing and developing our data platform, recruiting and mentoring the data engineering team, and collaborating closely with the Head of Engineering, Engineering Managers, and the Head of BI to ensure data accessibility, reliability, and readiness for use.This hands-on leadership position requires you to build alongside your initial hires, make critical architectural decisions, establish infrastructure, and set the engineering standards that will guide team growth. As the platform and team mature, the role will transition into comprehensive leadership and management of cross-functional stakeholders.If you thrive in a greenfield setting, excel in making pragmatic decisions within real-world constraints, and desire to create impactful solutions, this opportunity is for you.

Senior Data EngineerAbout AND DigitalAt AND Digital, we are committed to accelerating the growth of digital capabilities for organizations. Our mission is to empower visionary leaders and businesses by creating the teams, products, processes, and operational frameworks necessary to bridge the digital skills gap, ensuring their success into the future.Our clients trust us for our extensive expertise, agility, and craftsmanship across technology and business strategy, software development, and product management. We tackle some of today’s most pressing challenges with creative solutions.We are on the lookout for innovative thinkers, skilled tinkerers, passionate software craftsmen, and motivating technologists to join us in solving complex issues. Together, we are driven by a common purpose and the belief that while technology can enable transformation, it is ultimately the people who drive meaningful change.Your RoleAs a Senior Data Engineer, your primary focus will be to assist clients in meeting their data engineering requirements. You will be involved in the development, deployment, and maintenance of data pipelines within a dynamic Agile environment.Your contributions will significantly influence the team’s Agile practices, technical decision-making, and the overall quality and reliability of our data and processes. Your role will also include mentoring junior and mid-level technologists, both at AND and for our clients, which encompasses the following responsibilities:Extracting data from diverse data sourcesCreating code for data ingestion and transformationTransforming data to empower data scientists and product analystsDesigning and building scalable and extensible data architecturesExecuting large-scale batch and real-time processingAdvising clients on effective data engineering strategiesCollaborating with technical leads for system integrationsShaping Technical DirectionActively engaging with our Consultancy Data Strategy and Insight practice to formulate and implement clients’ data strategiesPromoting and maintaining high standards of technical quality

Role Overview As a Senior Data Analytics Engineer based in Amsterdam, you will transform raw data into a strategic asset for the company. While the DataOps team builds the core infrastructure, this role focuses on developing the analytical framework that supports financial reporting, product forecasting, and go-to-market planning. The position connects technical infrastructure with business leadership, ensuring every department has reliable, self-service access to the data needed for quick decision-making. Your First Year First 3 months: Get to know the current technology stack (GCP, BigQuery, Airbyte, dbt), core business data models, and any data flow challenges. Deliver and refine initial high-priority models for product usage and financial reporting. Work closely with the Data Engineer to align on the new infrastructure roadmap. By 6 months: Build a semantic layer to standardize KPIs across the company. Lay the groundwork for AI-readiness and enable advanced natural language querying. After 1 year: Take full ownership of the company’s data modeling architecture. Ensure it supports AI and machine learning applications. Advise department heads by using data to shape long-term growth and forecasting strategies, while maintaining a governed data environment that gives business users confidence to explore data on their own. Key Responsibilities Data Product Ownership: Manage the full lifecycle of internal data products. Work with stakeholders to turn business questions into technical solutions, choosing the right tools to keep reporting scalable and accessible. Analytics Engineering: Design, build, and maintain core data models using dbt Labs. Develop the logic for critical datasets, including those used for financial reporting, churn forecasting, and reverse-ETL processes that sync warehouse data with business tools like Planhat and HubSpot. Data Governance and Semantic Layering: Uphold data integrity by implementing governance standards and developing the semantic layer to ensure consistent metrics across the company. Data Enablement: Partner with RevOps to create training and documentation that helps teams in Finance, Product, and GTM work independently with data products.

Ignite the Power of Data!We are thrilled to welcome you to our team! Your expertise is essential in transforming our data and AI foundations into a reality that aligns with our vision. Your contributions ensure that data flows seamlessly through robust systems, empowering a platform that is intelligent, high-performing, and impactful.As a Senior Data / AI Engineer at Effectory, you will be a pivotal architect of the intelligence that drives our operations. You will design, maintain, and enhance the data architecture that fuels our analytics, powers AI functionalities, and enables organizations worldwide to convert employee feedback into actionable insights.Collaboration is key; you will work closely with Product Managers, Data Scientists, and Software Engineers to guarantee high-quality data and the AI models built upon it. Whether you are optimizing data pipelines, deploying machine learning models, or automating workflows, your efforts will ensure our platform scales with clarity, trust, and technical excellence.Your impact at Effectory lies in your ability to turn feedback into insightful data.Your Responsibilities:Design, develop, and refine scalable data architectures that align with business needs and AI/ML objectives.Create and oversee data ingestion pipelines from various sources, ensuring data is clean, structured, and primed for analytics or model training.Prepare data for AI, ML, and advanced analytics by enhancing quality, reliability, and accessibility.Integrate data from APIs, databases, events, and other internal/external sources.Collaborate with Data Scientists to deliver models and AI workflows to production, ensuring deployment, monitoring, and lifecycle management.Automate workflows using CI/CD, orchestration tools, and contemporary DevOps/MLOps practices.Engage with Product, Engineering, and Analytics teams to translate business requirements into technical solutions.Deploy and monitor data pipelines and models using cloud-native tools (preferably Azure).Provide comprehensive documentation, support, and guidance to internal stakeholders and customers.Continuously enhance our tools, workflows, and architecture.Stay updated with emerging data and AI technologies and best practices.Work within an agile, cross-functional team environment aligned with company OKRs.Take ownership of technical decisions and their implications on our product and platform.

Welcome to Adyen Adyen is a premier financial technology platform that delivers an integrated solution for payments, data, and financial products, serving renowned clients such as Meta, Uber, H&M, and Microsoft. We are dedicated to fostering an environment where ambition thrives. We empower our teams to succeed by providing opportunities for growth, a supportive culture, and the freedom to take charge of their careers. Our motivated team tackles unique technical challenges at scale and collaborates to create innovative and ethical solutions that accelerate business success. Position Overview: Senior Data Engineer At Adyen, we regard data and its components as integral to our operations, serving as the foundation for our business and product insights. We are seeking a Senior Data Engineer in Amsterdam who possesses a keen understanding of the business context and data requirements, and excels in constructing high-quality data pipelines on our Big Data Platform. In this role, you will significantly impact our data infrastructure and facilitate seamless data flow across different systems.

As a Senior Data Engineer at Hot ITem Conclusion, you will be more than just a technical expert; your deep understanding of data will empower our clients to derive greater value from their data platforms. You will translate complex challenges into scalable and innovative data architectures, being involved from inception to execution. Whether you're building a modern data foundation for the largest amusement park in the Netherlands or a hospital in Amsterdam, your work will ensure that data makes a real impact.You will work daily with vast amounts of data, ensuring that billions of records are processed promptly and efficiently. Innovation is a thread that runs through your work; you will constantly seek intelligent and innovative solutions. Additionally, you will mentor your colleagues, ensuring they can optimally support clients in enhancing and automating business processes. By actively sharing your knowledge and experience, you contribute to the growth and development of the team.Interested in learning more about this role? Read the interview with our Data Engineer Nirwan Ahmed and discover his experiences.

Welcome to Adyen Adyen is a leading financial technology platform, providing integrated payment solutions, data analytics, and financial products for industry giants like Meta, Uber, H&M, and Microsoft. We strive to empower businesses with the tools they need to succeed in a rapidly evolving digital landscape. At Adyen, we foster a culture of ambition and innovation, encouraging our teams to take ownership of their careers and explore their potential. Our collaborative environment tackles complex technical challenges at scale, resulting in ethical solutions that accelerate business growth. Position Overview: Data Center Engineer We are on the lookout for a skilled and self-sufficient Data Center Engineer to join our dynamic team in Amsterdam. In this pivotal role, you will manage the lifecycle and asset management of our data center infrastructure while ensuring accurate DCIM documentation to serve as the definitive reference for our global teams. Your responsibilities will include collaborating with international teams and local vendors to support both day-to-day operations and strategic infrastructure advancements. You will also have the opportunity to travel internationally several weeks a year for site audits, large-scale deployments, and standardizing lifecycle protocols across our global operations.

Are you a seasoned Data Analyst with a strong technical background and a passion for driving impactful decisions? Join us in enhancing the analytical framework that empowers our entire organization to make informed commercial and product choices.At Vio, we are dedicated to securing the best accommodation deals for travelers around the globe. Central to this mission is our Offers Management Platform, a sophisticated system that determines which accommodation offers to request, store, and distribute across various channels and markets.We are seeking a Senior Data Analyst to take charge of the analytics for this platform, collaborating closely with product managers and engineers to drive its evolution and optimization. This position focuses on understanding the system comprehensively—from end to end—establishing robust experimentation and measurement frameworks, and utilizing causal inference to steer our strategic decisions.About the RoleYou will be part of a cross-functional team overseeing the Offers Management Platform, which lies at the core of our marketplace. This system dictates which offers are requested from our suppliers, stored in our cache, and presented to end users or B2B partners, significantly influencing revenue and partner performance across the organization.Your objective will be to render this system measurable and to enhance its performance.You will engage closely with backend engineers and product managers on system design choices, establish metrics for success, and create analytical frameworks that allow us to analyze cause and effect in a highly interconnected environment.Your ResponsibilitiesLead Analytics for the Offers Management PlatformCultivate an in-depth understanding of the processes through which offers are requested, stored, and distributed.Translate intricate system behaviors into clear metrics and models.Serve as the analytical authority for inquiries regarding the performance of the offers system.Experimentation & Causal InferenceDesign and implement experimentation strategies for system-level alterations where classic A/B testing is not applicable.Employ causal inference techniques (e.g., difference-in-differences, propensity score matching) to assess the impact of changes.

As a Senior Data Management Specialist at AFM, you will play a pivotal role in conceptualizing, developing, and implementing data management functions within the organization. Your expertise will help establish the necessary conditions for data-driven decision-making, which is increasingly vital for AFM.You will model data and formulate definitions while considering both the regulatory agency and the data provider, such as banks. Your responsibilities will also include managing data architecture to ensure that data is accurately represented in the internal Managed Data Platform (MDP). Additionally, you will focus on data quality by performing necessary checks.Your work will encompass use cases (projects) for both Supervision and Innovation. In Supervision, you will develop data management functions for projects initiated by regulators. In Innovation, you will create data management policies and functions for AFM. You will also engage in data governance, including handling authorization requests from colleagues.To ensure that your colleagues effectively utilize the data management functions, you will conduct training sessions. In summary, you will serve as a vital link between Supervision/Operations and the Managed Data Platform.

As a Senior Manager of Data Science Insights and Analytics at dev2, you will lead a dynamic team dedicated to transforming data into actionable insights. Your role will encompass overseeing data analytics projects, driving strategic decision-making, and enhancing our selection processes through innovative data-driven methodologies.You will collaborate closely with cross-functional teams to harness the power of data, ensuring that our analytics capabilities are robust and impactful. This position demands a visionary leader who can inspire and guide a team of skilled data scientists and analysts.

Are you passionate about data and eager to tackle complex challenges? Do you want to empower organizations to manage and utilize their data effectively? As a Senior Data Management Analyst at BearingPoint, you will play a pivotal role in enhancing our clients' data infrastructure, data literacy, and data governance. You will analyze, design, and implement Data Management solutions that ensure accurate, consistent, and secure data. If you possess a strong analytical mindset and a love for data, we want to hear from you!In this role, you will be part of our Data & Analytics team, assisting clients with a variety of data management and governance issues. Your responsibilities will range from developing data management strategies and improving data quality to drafting data policies and training employees in data-driven practices. You will also have the opportunity to specialize in roles such as data governance specialist, data strategist, or data migration expert.Your key responsibilities include:Developing and implementing data management strategies aligned with clients' business objectives.Analyzing and enhancing data quality to ensure accuracy and consistency.Designing and managing data models.Advising clients on best practices for data management and governance.Collaborating with various teams to implement and integrate data solutions into existing systems.Monitoring compliance with data security and privacy regulations.Supporting initiatives to enhance data literacy among clients.

(Senior) Data Management ConsultantAre you passionate about data and excited to tackle complex challenges? Do you want to support organizations in effectively managing and leveraging their data? As a Data Management Consultant, you will play a pivotal role in enhancing our clients' data infrastructure. You will analyze, design, and implement Data Management solutions that ensure accurate, consistent, and secure data. If you have a strong analytical mindset and a passion for data, we want to hear from you!In this role, you will be part of our Data & Analytics team, assisting clients with a variety of data management and governance challenges. These may include developing data management strategies, improving data quality, drafting data policies, or implementing software solutions. You will have the opportunity to specialize further in roles such as data governance specialist, data strategist, or implementation expert.Your Key Responsibilities IncludeProcessing data through the establishment of ETL pipelines.Designing and developing data storage solutions utilizing cloud technologies (AWS, Azure, GCP).Creating and developing reports and dashboards.Conducting analyses to support decision-making or business processes.Applying machine learning & AI techniques to generate value for companies.Providing guidance and support to clients or your BearingPoint colleagues in implementing the outcomes of analyses.

Role Overview jobs is entering a key growth stage and is looking for a Data Engineer in Amsterdam to shape the data infrastructure supporting our platform. This role connects data acquisition with engineering, moving our teams from manual work to a fully automated environment. The focus: build tailored data pipelines, implement orchestration, and enable Operations and leadership to shift from basic reporting to advanced, AI-ready data products. Infrastructure-as-Code, orchestration tools, and system resilience are central to this position, supporting both Product and Go-To-Market strategies. Your First Year: What to Expect First 3 months: Learn our stack (GCP, BigQuery, Airbyte, dbt) and spot issues in current data flows. Deliver quick improvements to product usage analytics for Product and Go-To-Market teams. Start designing custom data pipelines and plan the migration of our infrastructure to Terraform. By 6 months: Launch a new orchestration layer (such as Airflow or Dagster). Move the first custom pipelines into production. Work with the Analytics Engineer to combine product usage, CRM, and billing data for a unified customer journey view. Define much of our data infrastructure as code, reducing manual work and improving reliability. After 1 year: Take full strategic ownership of the data platform and its architecture. Advise leadership on scaling new data-driven features. Prepare our data warehouse for AI and Machine Learning by ensuring strong quality controls, governance, and fast access patterns. Main Responsibilities Infrastructure-as-Code: Move all GCP and BigQuery resources into Terraform. Set up automated CI/CD so the data environment is reproducible, version-controlled, and ready for enterprise needs. Production Pipelines: Design, build, and manage reliable ELT pipelines. Establish a modern orchestration layer (such as Airflow or Dagster) to streamline pipeline operations.

As a Data Engineer at Hot ITem Conclusion, you are more than just a technical expert; your understanding of data enables our clients to derive greater value from their data platforms. You translate complex challenges into scalable and innovative data architectures, playing an integral role from inception to realization. Whether building a modern data foundation for the largest amusement park in the Netherlands or a hospital in Amsterdam, your work ensures that data creates a real impact.Daily, you will engage with vast amounts of data, ensuring that billions of records are processed promptly and efficiently. Innovation is a constant theme in your work; you continually seek smart and innovative solutions.Interested in learning more about this role? Read the interview with our Data Engineer Nirwan Ahmed to discover his experiences.

As a Medior Managed Services Data Engineer, you will transcend the role of a mere administrator. Your expertise will ensure that our clients' (Azure) Databricks platforms consistently perform at the highest level. You will translate intricate data flows into robust architectures and be the driving force behind the reliability and quality of the data. Whether designing a scalable medallion Lakehouse or implementing advanced monitoring, your work will empower our clients to rely on their platforms 24/7 without hesitation.Within our Managed Services team, you will bridge the gap between innovation and continuity. Not only will you design and develop intelligent pipelines using SQL and Python, but you will also proactively advise clients on enhancements in AI, security, and governance. Collaborating with your colleagues, you will conduct root cause analyses and optimize the entire workflow orchestration. Here, you will have the opportunity to specialize in modern techniques such as event-driven ingestion and reliability engineering, while making a direct impact on the performance of leading organizations.Who Are We?At Hot ITem Conclusion Managed Services, we prioritize the continuity of information provision. With over 25 years of experience in managing complex Data & AI ecosystems, we ensure reliable and timely information. Here, you can fully focus on innovative cloud environments and improving our core business: relieving clients of their information provision concerns.What Can You Expect? A dynamic work environment where innovation, reliability, and mutual support take center stage. We explore and apply new technologies to continuously enhance our services.

About ClickHouseClickHouse is a leading innovator in the cloud computing space, proudly featured on the 2025 Forbes Cloud 100 list. With over 3,000 satisfied customers and an impressive annual recurring revenue growth exceeding 250% year-on-year, we excel in real-time analytics, data warehousing, observability, and AI-driven workloads.Our remarkable growth trajectory was recently affirmed by a $400 million Series D funding round. In the last quarter alone, renowned companies such as Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted or expanded their use of our platform, joining industry giants like Meta, Cursor, Sony, and Tesla.Join us in our mission to redefine how organizations leverage data!The Connectors team is crucial in linking ClickHouse with the broader data ecosystem. We develop and maintain the essential connectors that make ClickHouse accessible to millions of developers and data practitioners globally. Our work ranges from low-level database integrations to high-level data visualization plugins, ensuring smooth integration with tools our users are already familiar with.Our responsibilities include overseeing the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran) and integrations with leading visualization platforms such as Grafana, Tableau, Power BI, and Metabase.Your RoleAs a Senior Software Engineer focused on JVM-based frameworks, you will be a key contributor, taking ownership of and maintaining vital aspects of ClickHouse's data engineering ecosystem. This position lies at the intersection of high-performance database engineering and developer experience, where you will create tools that empower Data Engineers to exploit ClickHouse's remarkable speed and scalability.Your responsibilities will encompass the entire lifecycle of data framework integrations—from the core database driver that handles billions of records per second to SDKs and connectors that integrate ClickHouse seamlessly into JVM-based applications. This role goes beyond coding; you will be laying the groundwork that thousands of Data Engineers depend on for their most critical data workloads.Your contributions will have a direct impact on how companies manage massive datasets, facilitating real-time analytics platforms that ingest millions of events per second and observability systems that monitor global infrastructure. You will work closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the benchmark for performance, reliability, and user satisfaction.

Join our dynamic team at Sia as a Data Engineer Consultant, where you will play a pivotal role in driving data solutions that empower our clients. As a key member of our consultancy, you will leverage your technical expertise to design, implement, and optimize data infrastructures that support business objectives. You will work closely with clients to understand their needs, ensuring that data solutions are not only effective but also scalable and sustainable.

Join sia as a Senior Data Science Consultant in the vibrant city of Amsterdam! We are seeking a talented individual who is passionate about leveraging data to drive business insights and innovation. In this dynamic role, you will collaborate with clients to develop data-driven strategies, implement advanced analytics solutions, and support decision-making processes.As a Senior Data Science Consultant, you will utilize your expertise in statistical modeling, machine learning, and data visualization to solve complex business challenges. You will have the opportunity to work with cutting-edge technologies and methodologies in a collaborative environment.