Data Engineer
Il y a 1 heure
Arrondissement of BrusselsCapital, Brussels, Belgique
Data Wizards
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h3bDon’t settle for just any consulting company, choose the one that’s right for you /b /h3 pAt Data Wizards, we value perseverance, curiosity, creativity, integrity and excellence. In that sense, we are looking for passionate AI data professionals who want to help companies navigate the transition the world is facing today, and who want to be part of the Wizard adventure we are building. /p pOn our side, we do our best to find exciting, challenging and meaningful projects for you. Today, we work with companies of all sizes, across various sectors, where we believe our work brings real value and purpose. /p pWe are continuously on the lookout for bright data engineers, data scientists, machine learning engineers, AI engineers, and data analysts. So this
job description
is for anyone in data out there feeling the magic in them and ready to spread it /p h3bLet’s build the future of AI Data, together /b /h3 pAt Data Wizards, we're focused on 3 things: bData, AI you. /b /p pWe're a small team who genuinely love digging into data that makes a real difference for the companies we work with, and who want to discover how AI and data can help companies out there. /p h3bWhy join us? /b /h3 pApart from tackling exciting challenges with passionate people in an environment that wants to see you thrive, you'll be part of a young company that keeps its feet on the ground, its eyes on the stars, and believes the best growth comes from the unique magic each Wizard brings. /p pWe are continuously on the lookout for bright data engineers, data scientists, machine learning engineers, AI engineers, and data analysts. But this
job description
is for Data Engineer out there feeling the magic in them and ready to spread it /p h3bAs a Data Engineer, your mission would typically include: /b /h3 ul liDesign, build, and maintain robust, scalable data pipelines to help our clients turn raw data into actionable insights /li liSupport ingestion, transformation, and exposure of data across multiple sources and systems /li liDevelop and optimize data processing solutions using SQL, Python, and modern orchestration tools /li liWork on a cloud-based data stack (storage, processing, and managed services) /li liCollaborate with data analysts, data scientists, and business stakeholders to understand data needs and translate them into technical solutions /li liEnsure data quality, reliability, traceability, and monitoring across the platforms you work on /li liContribute to data modeling and architecture decisions to support scalable, maintainable systems /li liSupport troubleshooting, optimization, and continuous improvement of existing data workflows /li liDocument data flows, pipelines, and technical solutions to support knowledge-sharing across the team /li liStay curious about emerging data and AI technologies, and help bring new ideas and best practices into our projects /li liBut being a consulting company, we can’t know in advance what your exact responsibilities will be /li /ul h3Job requirements /h3 h3bYou’re a step closer to joining our team if you bring: /b /h3 h3bBackground: /b /h3 ul liA Master’s degree in computer science, data or a related technical field /li liOpen to 1–6 years of experience in Data Engineering or a related role, ideally in a consulting environment /li /ul h3bTechnical
Skills:
/b /h3 ul liStrong proficiency in SQL and Python /li liHands-on experience with at least one major cloud platform (Azure, AWS, or GCP) /li liExperience building and maintaining ETL/ELT pipelines using modern data platforms and orchestration tools (e.g. Databricks, Airflow, dbt, or Azure Data Factory) /li liFamiliarity with Git and CI/CD practices /li liFamiliarity with distributed/big-data processing frameworks such as Spark is a plus /li liFamiliarity with NoSQL databases (e.g. MongoDB, Cassandra, Cosmos DB) is a plus /li liUnderstanding of data warehousing concepts and dimensional modeling (star schema) is a plus /li liBeing able to use AI assistant coding tools is a plus /li /ul h3bSoft
Skills:
/b /h3 ul liAbility to manage stakeholders and communicate effectively across technical and non-technical teams. /li liA problem-solver with a “can-do” attitude and a hacker mentality. /li liHighly curious and always eager to improve and learn. /li liStrong ability to work independently and drive projects from intake to delivery. /li libLanguages: /b Fluent in English and French and/or Dutch /li /ul pWe know that finding the right job isn't just
about the role
, it's about what's in it for you, too. While we're a start-up, we're big on taking care of our people right from day one. /p h3Here’s a sneak peek at
what we offer
/h3 h3bA compensation package that keeps you motivated /b /h3 ul liMobility budget or company car with an electrical card /li li30 days of paid time off /li liA top-tier laptop smartphone with a subscription /li liOpportunity to earn company stock over time /li /ul h3bA place to be your best self, grow, and thrive /b /
job description
is for anyone in data out there feeling the magic in them and ready to spread it /p h3bLet’s build the future of AI Data, together /b /h3 pAt Data Wizards, we're focused on 3 things: bData, AI you. /b /p pWe're a small team who genuinely love digging into data that makes a real difference for the companies we work with, and who want to discover how AI and data can help companies out there. /p h3bWhy join us? /b /h3 pApart from tackling exciting challenges with passionate people in an environment that wants to see you thrive, you'll be part of a young company that keeps its feet on the ground, its eyes on the stars, and believes the best growth comes from the unique magic each Wizard brings. /p pWe are continuously on the lookout for bright data engineers, data scientists, machine learning engineers, AI engineers, and data analysts. But this
job description
is for Data Engineer out there feeling the magic in them and ready to spread it /p h3bAs a Data Engineer, your mission would typically include: /b /h3 ul liDesign, build, and maintain robust, scalable data pipelines to help our clients turn raw data into actionable insights /li liSupport ingestion, transformation, and exposure of data across multiple sources and systems /li liDevelop and optimize data processing solutions using SQL, Python, and modern orchestration tools /li liWork on a cloud-based data stack (storage, processing, and managed services) /li liCollaborate with data analysts, data scientists, and business stakeholders to understand data needs and translate them into technical solutions /li liEnsure data quality, reliability, traceability, and monitoring across the platforms you work on /li liContribute to data modeling and architecture decisions to support scalable, maintainable systems /li liSupport troubleshooting, optimization, and continuous improvement of existing data workflows /li liDocument data flows, pipelines, and technical solutions to support knowledge-sharing across the team /li liStay curious about emerging data and AI technologies, and help bring new ideas and best practices into our projects /li liBut being a consulting company, we can’t know in advance what your exact responsibilities will be /li /ul h3Job requirements /h3 h3bYou’re a step closer to joining our team if you bring: /b /h3 h3bBackground: /b /h3 ul liA Master’s degree in computer science, data or a related technical field /li liOpen to 1–6 years of experience in Data Engineering or a related role, ideally in a consulting environment /li /ul h3bTechnical
Skills:
/b /h3 ul liStrong proficiency in SQL and Python /li liHands-on experience with at least one major cloud platform (Azure, AWS, or GCP) /li liExperience building and maintaining ETL/ELT pipelines using modern data platforms and orchestration tools (e.g. Databricks, Airflow, dbt, or Azure Data Factory) /li liFamiliarity with Git and CI/CD practices /li liFamiliarity with distributed/big-data processing frameworks such as Spark is a plus /li liFamiliarity with NoSQL databases (e.g. MongoDB, Cassandra, Cosmos DB) is a plus /li liUnderstanding of data warehousing concepts and dimensional modeling (star schema) is a plus /li liBeing able to use AI assistant coding tools is a plus /li /ul h3bSoft
Skills:
/b /h3 ul liAbility to manage stakeholders and communicate effectively across technical and non-technical teams. /li liA problem-solver with a “can-do” attitude and a hacker mentality. /li liHighly curious and always eager to improve and learn. /li liStrong ability to work independently and drive projects from intake to delivery. /li libLanguages: /b Fluent in English and French and/or Dutch /li /ul pWe know that finding the right job isn't just
about the role
, it's about what's in it for you, too. While we're a start-up, we're big on taking care of our people right from day one. /p h3Here’s a sneak peek at
what we offer
/h3 h3bA compensation package that keeps you motivated /b /h3 ul liMobility budget or company car with an electrical card /li li30 days of paid time off /li liA top-tier laptop smartphone with a subscription /li liOpportunity to earn company stock over time /li /ul h3bA place to be your best self, grow, and thrive /b /