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Experience Level
Entry Level
Qualifications
Your Skills and Qualifications:Proficient in Python and SQL. Familiar with cloud platforms such as AWS, Google Cloud, or Azure. Understanding that 'containers' extend beyond just shipping!Fluency in Dutch and/or French as well as English. Master's Degree in Engineering (e.g., Civil Engineer, Commercial Engineer, etc.).
About the job
Are you set to graduate next year and eager to kickstart your career in a Data Engineering role? We are thrilled to welcome your application and look forward to discussing your future over an interview and a virtual coffee.
Your Key Responsibilities
Develop and enhance your expertise in creating sustainable data solutions (ETL/Models/Interfaces/Pipelines, etc.)
Design data solutions while balancing cost and maintainability effectively.
Collaborate with Data Scientists, BI specialists, and Business Consultants to provide exceptional value to our clients.
Stay abreast of the latest advancements in data technology and actively share your insights with your team.
Oversee the quality and stability of data solutions.
About datashift
At Datashift, we foster an entrepreneurial spirit within our team, providing a dynamic environment where innovation thrives. We emphasize high-quality work in a no-nonsense setting, and our commitment to your professional development is unwavering.
About KeyrockSince our inception in 2017, Keyrock has emerged as a transformative force in the digital asset landscape, celebrated for our innovative partnerships and forward-thinking solutions.Today, we proudly count over 180 talented individuals from 42 different nationalities among our ranks. With a diverse range of experiences—from DeFi experts to PhD ho…
At Lighthouse, we’re on a bold mission to transform commercial strategy within the hospitality sector. Our state-of-the-art commercial platform simplifies data complexities, providing businesses with actionable insights, advanced pricing tools, and innovative business intelligence solutions that unlock their maximum revenue potential.Backed by a robust $370 million in Series C funding and fueled by an unyielding drive for growth, we have integrated five companies into our journey and surpassed $100 million in ARR as of 2024. Our diverse team of over 850 professionals spans 35 countries and embodies 34 different nationalities.More than a workplace, Lighthouse fosters a vibrant community. Together, we are collaborative, passionate, and dedicated to revolutionizing the hospitality industry. Are you ready to join us on this exhilarating journey? What You Will DoAs a Data Engineer in our newly formed Data Products team, you will be pivotal in shaping the quality and business value of our core data assets. Your role will involve designing, building, and maintaining data pipelines that serve various teams across Lighthouse. You will bridge the gap between our data and its business applications, collaborating with stakeholders to ensure our data effectively meets consumer needs.Where You Will Make an ImpactBecome the go-to expert for key data products, mastering the entire data lifecycle, quality, and business applications.Design, implement, and maintain both streaming and batch data pipelines that empower our products and internal analytics.Work directly with data consumers to comprehend their requirements and deliver tailored data solutions.Enhance data quality, latency, and reliability across the organization.Adopt a product engineering mindset, prioritizing value delivery and business problem-solving through data.Be at the forefront of our AI evolution, embedding intelligence into our platform by building AI features and promoting an AI-first culture within the engineering team.Mentor fellow engineers, sharing your expertise and aiding in their professional growth.About Our TeamThe Data Products Team serves as the definitive source of truth for Lighthouse's data, forming the foundational layer of our entire data ecosystem. Their core mission is to model and deliver high-quality, foundational data products that are essential for all downstream product features, machine learning models, and data science initiatives.
Join our dynamic team at Devoteam as a Databricks Data Engineer where you will leverage your expertise to design, implement, and maintain data pipelines using Databricks. You will collaborate with cross-functional teams to ensure optimal data flow and accessibility, contributing significantly to our data-driven projects.
As a Senior Data Engineer at jobgether in Belgium, you will help shape the company’s data infrastructure and support data-driven decision making. This position centers on designing, building, and maintaining data pipelines that keep information flowing reliably between platforms. What you will do Design and implement data pipelines to support business operations and analytics Maintain and improve data architecture for efficiency and scalability Work closely with other teams to understand their data needs and deliver practical solutions Collaboration This role involves regular interaction with cross-functional teams. Your work will help ensure the data infrastructure supports both current and future analytics requirements. Impact Your contributions will support seamless data flow and help optimize how the organization uses data for analytics and strategic decisions.
Join us as a Senior Data Engineer Consultant at Sia, where you will play a pivotal role in shaping our clients' data engineering solutions. In this position, you will lead client projects, collaborate closely with clients to co-design innovative data engineering strategies, manage stakeholder relationships, and ensure successful project delivery from inception to execution.Key Responsibilities:Data Architecture & Pipeline Design: Create efficient and scalable data pipelines and architectures to facilitate the ingestion, processing, and delivery of both structured and unstructured data.Cloud & Distributed Systems: Develop and implement data solutions utilizing modern cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (Spark, Kafka).Database Design & Data Modeling: Construct logical and physical data models while optimizing database solutions for various data types, including relational, NoSQL, time-series, and graph databases.Data Integration & Loading Patterns: Establish best practices for batch, streaming, and real-time data integration, accommodating structured, semi-structured, and unstructured data sources.CI/CD & DataOps Practices: Implement continuous integration and deployment for data services and infrastructure, using modern DevOps tools to ensure reliability and automation in data workflows.At Sia, you will also:Enhance our Data Engineering services through training sessions, collaborative projects, and publications.Represent Sia at industry events, contributing to thought leadership through articles, white papers, and webinars.Drive business development by crafting compelling proposals and nurturing long-term client relationships.Act as a trusted advisor to clients, managing engagements and providing expert insights to management.Mentor junior to mid-level consultants, fostering their professional development and reviewing deliverables.
Join our dynamic team at Devoteam as a Data Scientist Engineer, where you'll leverage your analytical skills to drive data-driven decision-making. Collaborate with cross-functional teams to design and implement innovative data solutions that enhance business processes and outcomes.
Are you ready for a new challenge? Want to elevate your career as a Data Engineering Manager? Join our Local Managed Staffing team at NRB!NRB Group is a leading player in the ICT sector in Belgium, providing a wide range of IT services that cater to diverse IT needs, including Infrastructure & Cloud, Software Development, and Consultancy & Managed Staffing.Learn more about us here.
Join our team at Sia as a Senior Data Engineer Consultant, where you will play a pivotal role in driving our clients' data engineering initiatives. In this position, you will lead engagements, collaborate closely with clients to co-design innovative data solutions, manage stakeholders, and ensure the successful delivery of impactful projects from inception 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 large volumes of both structured and unstructured data.Cloud & Distributed Systems: Design and implement data solutions utilizing modern cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark, Kafka).Database Design & Data Modeling: Develop logical and physical data models while optimizing database solutions for a variety of data types and workloads, including relational, NoSQL, time-series, and graph databases.Data Integration & Loading Patterns: Implement best practices for batch, streaming, and real-time data integration to accommodate structured, semi-structured, and unstructured data sources.CI/CD & DataOps Practices: Facilitate continuous integration and deployment of data services and infrastructure, leveraging modern DevOps tools to ensure reliability, versioning, and automation in data workflows.Within Sia, you will:Enhance our Data Engineering offerings through internal training sessions, working groups, and publications.Represent Sia at industry events, contributing to thought leadership initiatives through articles, white papers, and webinars.Drive business development by crafting compelling proposals, identifying collaboration opportunities, and nurturing long-term client relationships.Manage client engagements, serving as a trusted advisor and subject matter expert to middle and senior management.Mentor junior to mid-level consultants, guiding their professional development and reviewing deliverables.
We are seeking an experienced Senior Data Engineer Consultant to join our dynamic team at sia. This role involves leveraging advanced data engineering techniques to support our clients in optimizing their data processes and solutions. You will be responsible for designing, building, and maintaining robust data pipelines and architectures, ensuring data is accessible, reliable, and secure. Ideal candidates will possess a strong background in data engineering principles, a passion for technology, and a commitment to delivering exceptional results.
Join Sia as a Consultant Data Engineer, where you will leverage your expertise in data engineering to drive impactful solutions for our clients. You will work closely with cross-functional teams to design, develop, and implement data pipelines and architectures that enhance data accessibility and reliability.
Join our dynamic team at Sia as a Senior Data Engineer, where you will play a pivotal role in transforming data into actionable insights. Your expertise will be crucial in designing, building, and maintaining robust data pipelines and architectures that support our data-driven decision-making processes.As a Senior Data Engineer, you will collaborate with data scientists and analysts to ensure that our data is accessible, reliable, and well-structured. You will be responsible for optimizing data flows, improving data quality, and implementing best practices in data management.
ABOUT TROPOSTropos is at the forefront of delivering scalable and dependable data analytics solutions that drive actionable business insights. Partnering with clients from various industries, we empower them to fully harness the potential of their data by merging our profound expertise with unmatched automation capabilities.Our approach is straightforward and results-oriented—free from jargon, focusing on transparent communication and measurable outcomes.We pride ourselves on our highly synchronized team dynamics. This enables us to operate swiftly while ensuring precision and care in our deliverables.ABOUT THE JOBIn the capacity of a Senior Data Engineer, you will play a crucial role in constructing and managing the data infrastructure that fuels analytics, reporting, and AI initiatives.You will be tasked with designing, developing, deploying, and maintaining cutting-edge data pipelines and platforms. Your work will span the entire modern data stack—from data ingestion to transformation and delivery—ensuring that our clients receive scalable, reliable, and high-quality data products.Key Responsibilities:Construct and sustain robust data pipelines from initial ingestion to end consumption.Create scalable ELT workflows utilizing modern tools like dbt.Implement and enhance cloud-based data solutions across Azure, AWS, or GCP.Utilize Snowflake or Databricks for scalable data warehousing and lakehouse operations.Design and uphold clean, well-structured data models for analytics and self-service BI (including Data Vault 2.0).Adopt DevOps methodologies for data projects: CI/CD, version control, automated deployments.Create comprehensive documentation to enable clients to operate and extend solutions independently.Engage in continuous improvement through the development of reusable engineering patterns and knowledge sharing.
Join our innovative team at sia as a Senior Data Engineer Consultant, where you will drive impactful solutions through data-driven insights. We are looking for a passionate professional to enhance our data architecture and engineering capabilities. You will collaborate with cross-functional teams to design and implement scalable data solutions that meet our clients' needs.
Are you enthusiastic about collaborating on diverse projects and delivering comprehensive data solutions from start to finish? Ready to broaden your expertise across various tools, methodologies, and sectors? Do you possess a strong interest in the technical facets of data projects, combined with the entrepreneurial spirit to help establish a new practice within a consultancy? As a Data Engineer at Agilytic, you will be instrumental in addressing intricate technological challenges for our most demanding assignments. Your expertise will be crucial in developing the (big) data infrastructure utilized by Data Scientists for our client projects.Your Daily Responsibilities: Design and develop scalable and maintainable cloud data architectures (infrastructure, ETL, infra-as-code, etc.) Integrate various data sources by creating efficient data pipelines Build extensive data warehouses and datamarts suitable for advanced analytics and reporting Ensure the quality and stability of data solutions Optimize the performance and cost-efficiency of data ecosystems Assist Agilytic Data Scientists and Data Analysts in implementing data solutions for clients Stay informed about the latest advancements in data technology Mentor and share your expertise with colleagues
Join our dynamic and diverse Data Science team at Sia, where your innovative ideas and entrepreneurial spirit can shape the future of our growing practice. We prioritize well-being, knowledge-sharing, and inclusivity, ensuring that every member has the opportunity to flourish.As a Consultant Data Engineer, you will engage in exciting client projects and collaborate with our French Data Engineering team to develop our proprietary Sia AI solutions. Your responsibilities will encompass:Designing and optimizing cloud services across platforms such as GCP, AWS, and Azure, focusing on architecture decisions, storage and compute services, cost management, role management, and Infrastructure as Code.Utilizing Docker and Kubernetes for application containerization and orchestration, tailored for Data Science workloads.Programming in Python to create robust server-side tools, including bulk data processing and REST API servers.Implementing CI/CD practices to ensure seamless integration and deployment of applications and internal platforms, enhancing Data Science project deployments at client locations.Developing data pipelines and ETL scripts in Big Data environments.Monitoring technologies and implementing solutions that empower Data Scientists in their machine learning endeavors.
Join our dynamic team at Soprasteria as a Data Engineer, where you will play a crucial role in designing and implementing data solutions that drive our business forward. You will collaborate with cross-functional teams to create robust data pipelines, ensuring data integrity and accessibility for various stakeholders.
Since its inception in 2015, Agilytic has empowered organizations to achieve their objectives through innovative data and AI solutions. With a portfolio of over 300 successful projects completed both in Belgium and internationally, we are committed to being a premier boutique consultancy that delivers impactful solutions for decision-makers in marketing, operations, and finance.To support the ongoing growth of our Data Engineering practice, we are in search of an entrepreneurial Project Manager. In this role, you will oversee a team of data engineers across the entire project lifecycle—beginning from proposal drafting through to the successful delivery of results. Your responsibilities will include ensuring adherence to our established methodologies and quality standards while managing project budgets effectively.While regular attendance at client offices is necessary, we offer flexible and hybrid working arrangements. Our headquarters are located in the heart of Brussels, just across from Central Station.As a mentor, you will play a pivotal role in helping colleagues develop both business acumen and technical skills essential for independently managing their projects.
Are you set to graduate next year and eager to kickstart your career in a Data Engineering role? We are thrilled to welcome your application and look forward to discussing your future over an interview and a virtual coffee.Your Key ResponsibilitiesDevelop and enhance your expertise in creating sustainable data solutions (ETL/Models/Interfaces/Pipelines, etc.)Design data solutions while balancing cost and maintainability effectively.Collaborate with Data Scientists, BI specialists, and Business Consultants to provide exceptional value to our clients.Stay abreast of the latest advancements in data technology and actively share your insights with your team.Oversee the quality and stability of data solutions.
Join Devoteam as a Senior Data Engineer, where you will play a pivotal role in harnessing data analytics to drive business decisions. In this position, you will work closely with cross-functional teams to design and implement data solutions that enhance our clients' operations. We are seeking an innovative thinker who is passionate about data and eager to tackle complex challenges.
Keyrock is seeking a Senior Data Engineer to join its Brussels office. This position plays a key part in shaping the data infrastructure for a digital asset firm experiencing rapid growth. As one of the first members of the Central Data Team, the Senior Data Engineer will help define the company’s approach to data strategy and platform development. About Keyrock Founded in 2017, Keyrock operates as a market maker on over 80 trading venues and offers services in market making, options and high-frequency trading, OTC, and DeFi trading desks. The team includes more than 250 professionals representing 42 nationalities, with major hubs in London, Brussels, and Singapore. Keyrock values collaboration, organizing regular online and in-person meetups. The company is recognized for early adoption of Rust for algorithmic trading and supports Web3 startups through its Accelerator Program. Keyrock also provides liquidity to DeFi, RWA, and NFT protocols, and invests in research and governance in the digital asset space. Role overview The Central Data Team (CDT) is a new initiative at Keyrock, charged with building the Keyrock Data Platform. This platform will serve both team members and AI agents, making data accessible and actionable to support company strategy. The Senior Data Engineer will work closely with teams across trading, wealth management, product, risk, finance, compliance, and research to gather and interpret data that drives business decisions. What you will do Design and build both streaming and batch data pipelines to ingest, normalize, and distribute market, trading, and portfolio data, with an emphasis on system resilience in the event of data feed or exchange failures. Develop self-service tools such as SDKs, templates, patterns, and AI agents, empowering other teams to publish, consume, and build data products independently. Collaborate with departments throughout the company to understand their data requirements and ensure the platform meets their needs.
