PpbCompany Description /b /p /ppbAbout Devoteam: /b /ppDevoteam is a leading consulting firm focused on digital transformation. We help our clients leverage technology to achieve their business goals. /ppOur blongstanding partnerships with leaders like AWS, Google Cloud, Microsoft, and ServiceNow /b amplify our capabilities, allowing us to deliver top-tier expertise and award-winning services. We complement these partnerships with in-depth Cyber, Data AI, Software development and multi cloud expertise. /ppFor b30 years, we have always been guiding our customers on the next tech wave /b. Devoteam has guided organizations through the Internet and cloud. The next revolution? AI. /ppWith b11,000 tech natives working in 25+ countries, we bring you highly skilled IT experts across Europe /b /ppAt Devoteam, btech is in our DNA /b, and it’s the people we empower with tech. Now, with responsible AI, we’re ready to unlock a future where technology drives positive change. /pppbJob Description /b /p /ppbAbout the Role: /b /ppWe are seeking ba talented and passionate Databricks Data Engineer to join our expanding Data AI team Databricks Partner (50 FTE) /b. In this role, you will be a crucial player in designing, building, and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries, collaborating with both internal teams and client stakeholders to deliver high-quality data pipelines and enable data-driven decision-making. /ppbResponsibilities: /b /plibData Pipeline Engineering: /b Design, develop, and deploy robust and scalable data pipelines using Databricks, incorporating data extraction from diverse sources (databases, APIs, streaming platforms), transformation and cleansing using Spark, and loading into target systems (data lakes, data warehouses, etc.). Optimize pipeline performance for efficiency and cost-effectiveness. /lilibDatabricks Ecosystem Expertise: /b Utilize the full capabilities of the Databricks platform, including Databricks SQL, Delta Lake, Databricks Runtime, and Databricks Workflows, to orchestrate complex data workflows and ensure data quality and pipeline reliability. /lilibCloud Integration: /b Seamlessly integrate bDatabricks with cloud services (Azure, AWS, or GCP) /b for storage, compute, and security, leveraging services like Azure Data Lake Storage, AWS S3, Google Cloud Storage, and more. /lilibData Architecture and Modeling: /b Contribute to the design and implementation of robust data models and architectures for data lakes and data warehouses, ensuring data consistency, integrity, and accessibility for various use cases. /lilibData Quality Assurance: /b Implement rigorous data quality checks and validation procedures throughout the data pipeline to maintain high accuracy and reliability. Adhere to data governance policies and best practices. /lilibCollaboration and Communication: /b Work closely with data scientists, analysts, business intelligence specialists, and business stakeholders to understand their data requirements and provide technical expertise on Databricks and data engineering best practices. /lilibContinuous Learning: /b Stay up to date with the latest Databricks features, cloud technologies, and data engineering trends to continuously improve our solutions and deliver innovative results for our clients. /lippbQualifications /b /p /plibHold a University Degree /b in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI. /lilibProven Experience: /b 3+ years of experience as a Data Engineer with demonstrated expertise in Databricks. /lilibCloud Proficiency: /b Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP), with a good understanding of cloud data services and infrastructure. /lilibProgramming Skills: /b Strong programming skills in Python or Scala, with experience in data manipulation libraries (, PySpark, Spark SQL). /lilibData Fundamentals: /b Solid understanding of data warehousing principles, ETL processes, data modeling techniques, and database systems. /lilibSQL Expertise: /b Advanced SQL skills for data querying, transformation, and analysis. /lilibCommunication Skills: /b Excellent communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders. /lilibProblem-Solving: /b Strong analytical and problem-solving abilities, with a proactive approach to identifying and resolving data-related challenges. /lilibFluent in English and proficiency in Dutch or French is mandatory. /b /lipbBonus Points : /b /pliExperience with machine learning or AI technologies. /liliKnowledge of DevOps practices. /liliContributions to open-source projects. /liliExperience with data visualization tools (, Tableau, Power BI). /lippbAdditional Information /b /p /ppbWhy choose us? /b /pliThrive in a fast-growing, entrepreneurial environment /liliWork with innovative and impactful Cloud, Data AI projects for industry-leading clients /liliConnect with extraordinary talents in a collaborative and diverse culture /liliEnjoy a healthy work-life balance in an inspiring, eco-friendly workplace /liliCompetitive compensation package /lipbAt Devoteam, we combine strong values – respect, frankness, ambition, entrepreneurship collaboration – with a fun and supportive environment that empowers you to innovate, grow, and succeed in the fast-paced world of Cloud, Data AI. /b /p