Data Engineer
Il y a 1 heure
Herstal, Walloon Region, Belgique
Expleo Group
Temps plein
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h3Overview /h3 pExpleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.
We are strategically positioned to build value, with a global footprint across 30 countries.
We are as global and local as you need us to be, with strong best-in-class pan-European technological centers and unique best-shoring capabilities.
We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment /p ptions from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”. /p h3Responsibilities /h3 pAs a Data Engineer, you will join a multidisciplinary development team within the Engineering Department. /p ul liDesigning, developing, deploying, validating, and testing data pipelines and data architectures to support engineering and analytics needs. /li liDefining and implementing efficient data architecture and data structures to ensure consistency, scalability, and performance across platforms. /li liSetting up, maintaining, and optimizing databases, data lakes, and related storage solutions for structured and unstructured data. /li liDeveloping data pipelines to support the execution of machine learning algorithms and other advanced data processing workflows. /li liManaging and improving CI/CD pipelines to automate testing and deployment processes, code quality and development efficiency. /li liCollaborating closely with software developers, data scientists, and engineers to ensure data systems meet project and business requirements. /li liContributing to the continuous improvement of development practices, testing strategies, and data engineering standards. /li /ul h3Qualifications /h3 ul liYou hold a Master’s degree in Computer Science, Engineering, Informatics, or an equivalent field, ideally with a specialization in Data Engineering, Data Science, or a related discipline. /li liYou have solid experience in data engineering and are proficient in Python, SQL, Spark, and Docker, particularly for data processing, AI applications, and automation. /li liYou are familiar with data engineering and development tools and frameworks such as Jenkins, Jupyter, Superset, and Dagster. Experience with data warehousing and Kubeflow is considered a plus. /li liYou have a good understanding of databases, data lakes, data warehouses, CI/CD pipelines, and unit testing practices. /li liKnowledge of MATLAB unit testing is a plus. /li liYou have a strong interest in opensource and on-premises solutions and stay informed about the latest trends and innovations in the field. /li liYou are comfortable working in a multidisciplinary team and can communicate clearly, effectively, and concisely with both technical and nontechnical stakeholders. /li liYou demonstrate strong attention to detail and a commitment to technical excellence, quality, and reliability. /li liAdditional knowledge in software engineering, frontend development, data analytics, C/C++, Git, DevOps, and Bitbucket would be an advantage. /li /ul h3Benefits /h3 pAt Expleo, we are committed to providing a competitive salary and substantial benefits offering with unique wellbeing, financial and employee recognition programs. /p pWe pride ourselves on our diverse and inclusive culture and offer a variety of family-friendly policies and enhanced leave to help you achieve a healthy work life balance. /p pBy providing significant learning and development opportunities, we encourage individual growth and success throughout your career with us. /p ul liCollaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges /li liWe empower all passionate technology-loving professionals by allowing them to expand their skills and take part in inspiring projects /li liExpleo Academy
- enables you to acquire and develop the right skills by delivering a suite of accredited training courses /li liEnjoy a comprehensive benefits package, including hospitalization and outpatient insurance, a pension and group insurance plan, employee wellbeing initiatives, sports and social events, gifts for special occasions, and much more /li liEnjoy meal and eco vouchers to support your daily needs and sustainable purchases /li liReceive monthly representation fees to support work-related expenses /li li32 vacation days (20 + 12 for a 40-hour week).. /li liAlways working as one team, our people are not afraid to think big and question the status quo. /li liFlexible homeworking policy – Balance your career and personal life /li /ul pOur Commi
We are strategically positioned to build value, with a global footprint across 30 countries.
We are as global and local as you need us to be, with strong best-in-class pan-European technological centers and unique best-shoring capabilities.
We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment /p ptions from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”. /p h3Responsibilities /h3 pAs a Data Engineer, you will join a multidisciplinary development team within the Engineering Department. /p ul liDesigning, developing, deploying, validating, and testing data pipelines and data architectures to support engineering and analytics needs. /li liDefining and implementing efficient data architecture and data structures to ensure consistency, scalability, and performance across platforms. /li liSetting up, maintaining, and optimizing databases, data lakes, and related storage solutions for structured and unstructured data. /li liDeveloping data pipelines to support the execution of machine learning algorithms and other advanced data processing workflows. /li liManaging and improving CI/CD pipelines to automate testing and deployment processes, code quality and development efficiency. /li liCollaborating closely with software developers, data scientists, and engineers to ensure data systems meet project and business requirements. /li liContributing to the continuous improvement of development practices, testing strategies, and data engineering standards. /li /ul h3Qualifications /h3 ul liYou hold a Master’s degree in Computer Science, Engineering, Informatics, or an equivalent field, ideally with a specialization in Data Engineering, Data Science, or a related discipline. /li liYou have solid experience in data engineering and are proficient in Python, SQL, Spark, and Docker, particularly for data processing, AI applications, and automation. /li liYou are familiar with data engineering and development tools and frameworks such as Jenkins, Jupyter, Superset, and Dagster. Experience with data warehousing and Kubeflow is considered a plus. /li liYou have a good understanding of databases, data lakes, data warehouses, CI/CD pipelines, and unit testing practices. /li liKnowledge of MATLAB unit testing is a plus. /li liYou have a strong interest in opensource and on-premises solutions and stay informed about the latest trends and innovations in the field. /li liYou are comfortable working in a multidisciplinary team and can communicate clearly, effectively, and concisely with both technical and nontechnical stakeholders. /li liYou demonstrate strong attention to detail and a commitment to technical excellence, quality, and reliability. /li liAdditional knowledge in software engineering, frontend development, data analytics, C/C++, Git, DevOps, and Bitbucket would be an advantage. /li /ul h3Benefits /h3 pAt Expleo, we are committed to providing a competitive salary and substantial benefits offering with unique wellbeing, financial and employee recognition programs. /p pWe pride ourselves on our diverse and inclusive culture and offer a variety of family-friendly policies and enhanced leave to help you achieve a healthy work life balance. /p pBy providing significant learning and development opportunities, we encourage individual growth and success throughout your career with us. /p ul liCollaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges /li liWe empower all passionate technology-loving professionals by allowing them to expand their skills and take part in inspiring projects /li liExpleo Academy
- enables you to acquire and develop the right skills by delivering a suite of accredited training courses /li liEnjoy a comprehensive benefits package, including hospitalization and outpatient insurance, a pension and group insurance plan, employee wellbeing initiatives, sports and social events, gifts for special occasions, and much more /li liEnjoy meal and eco vouchers to support your daily needs and sustainable purchases /li liReceive monthly representation fees to support work-related expenses /li li32 vacation days (20 + 12 for a 40-hour week).. /li liAlways working as one team, our people are not afraid to think big and question the status quo. /li liFlexible homeworking policy – Balance your career and personal life /li /ul pOur Commi