Senior Data Engineer

Il y a 8 heures

Arrondissement of BrusselsCapital, Brussels, Belgique Sopra Steria Belgium Temps plein
h3Company Description /h3 pSopra Steria offers tailored, end-to-end corporate technology and software solutions to help clients make bold choices and deliver results. Successfully so With more than 51.000 colleagues in nearly 30 countries, we rank as Europe’s leading digital solutions provider. Some of the most successful companies in Europe rely on our technology due to our commitment to innovation, collaboration, and value in business development. /p h3Job Description /h3 pJoin our Data AI team. /p pYou will become part of a multidisciplinary team where data engineering, architecture, AI, analytics, governance and visualization come together. Together, we help clients get more value out of their data: from setting up the right data foundations to building dashboards, analytics solutions and AI use cases that support better decisions. /p pAs a Data Engineer, will work with modern data technologies to develop and manage end-to-end data solutions, from ingestion and transformation to serving layers. In close collaboration with other data experts (BI consultants, AI engineers, etc.) and client stakeholders, you will translate business and analytics requirements into production-ready, end-to-end data systems. /p pYou will be part of our Data Foundation practice: a team of data engineers and architects, within our Data AI department. Looking beyond the sleek dashboards and hype-driven AI applications, we make sure that AI and BI initiatives are powered by a reliable and performant back end. Using proven components and best practices, we continuously challenge ourselves to design solutions tailored to our clients’ data needs, ensuring optimal performance, scalability, and maintainability. /p h3Your responsibilities include the following: /h3 ul liBuild high-quality data solutions that create value for our clients. /li liGather business requirements and translate them to technical specifications. /li liDesign, implement and orchestrate scalable and efficient data pipelines to collect, process, and serve large datasets. /li liContribute to sales proposals and business development initiatives. /li liEngage in knowledge-sharing and support more junior colleagues. /li liServe as a subject matter expert for client advisory. /li /ul h3Qualifications /h3 pWe’re seeking motivated colleagues who are eager to engineer the best solutions for our clients and to be an active member of our team of experts. If you enjoy tackling complex technical problems and meet (most of) the qualifications below, we look forward to your application /p bYou’ll have knowledge and experience of the following: /b ul liAt least 3 years of experience as a Data Engineer or in software engineering in a data context. /li liProgramming experience with one or more languages, such as Python. /li liKnowledge of storage concepts/technologies (RDBs, DWHs, lakehouses, etc.) and distributed computing. /li liExperience in designing, building and owning data pipelines (Microsoft Fabric, Databricks, dbt, Airflow, ...) /li liExperience with at least one cloud provider (Azure, AWS or GCP). /li liExperience with incremental and streaming workloads, CDC and SCD. /li liFamiliar with platform engineering (including CI/CD and IaC automation) in a data mesh-like context. /li liThe concept of DataOps is embedded in your way of working. /li liFamiliar with the challenges of BI and AI workloads and applications. /li liExperienced in implementing data governance security (IAM, data quality mgmt, metadata mgmt., ...). /li liAware of currently available technologies and upcoming data trends. /li liAbility to translate business requirements into effective technical solutions. /li liAble to work autonomously, balance multiple stakeholders, make pragmatic technical decisions and manage work time effectively. /li liStrong communicative and interpersonal skills, bridging technical and business audiences while building strong client and team relationships. /li liCollaborative and team-oriented, helping our team grow. /li liYou have a degree in Computer Engineering, Information Technology or related field. /li liYou are proficient in English and Dutch or French /li /ul h3What we can offer you /h3 pAt Sopra Steria, you’ll join our Data Foundations Practice within the Data AI team: a group of experts building modern data platforms that power analytics and AI. /p pWe design scalable, secure and maintainable data pipelines and architectures using best practices and tools like Databricks, Azure, SQL and Snowflake. /p pYou’ll help build the backbone of Data AI, improving reliability and data quality through automation, testing and monitoring, within a collaborative and fast-learning environment. /p pAs part of Sopra Steria, you’ll also benefit from strong career development opportunities, both locally and internationally, supported by the Sopra Steria Academy and a wider network of more than 51.000 professionals. /p h3Additional Information /h3 pWe offer a generous employee bene