Data Engineer

Devoteam is a leading consulting firm focused on digital strategy, tech platforms, and cybersecurity. By combining creativity, tech, and data insights, we empower our customers to transform their business and unlock the future. With 25 years’ of experience and 8,000 employees across Europe and the Middle East, Devoteam promotes responsible tech for people and works to create better change. #Creative Tech for Better Change Devoteam has launched in January 2021 its new strategic plan, Infinite 2024, with the ambition to become the #1 EMEA partner of the leading Cloud-based platform companies (AWS, Google Cloud, Microsoft, Salesforce, ServiceNow), further reinforced by deep expertise in digital strategy, cybersecurity, and data. Job Description

The

Data Engineer

will be responsible for the following activities: Work closely with data architects and other stakeholders to design scalable and robust data architectures that meet the organization’s requirements Develop and maintain data pipelines, which involve the extraction of data from various sources, data transformation to ensure quality and consistency, and loading the processed data into data warehouses or other storage systems Responsible for managing data warehouses and data lakes, ensuring their performance, scalability, and security Integrate data from different sources, such as databases, APIs, and external systems, to create unified and comprehensive datasets Perform data transformations and implement Extract, Transform, Load (ETL) processes to convert raw data into formats suitable for analysis and reporting Collaborate with data scientists, analysts, and other stakeholders to establish data quality standards and implement data governance practices Optimise data processing and storage systems for performance and scalability Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions Qualifications

Programming Skills: Proficiency in programming languages such as Python, Java, Scala, or SQL is essential for data engineering roles. Data engineers should have experience in writing efficient and optimized code for data processing, transformation, and integration. Database Knowledge: Strong knowledge of relational databases (e.g., SQL) and experience with database management systems (DBMS) is crucial. Familiarity with data modeling, schema design, and query optimization is important for building efficient data storage and retrieval systems. Big Data Technologies: Understanding and experience with big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka is highly beneficial. Knowledge of distributed computing and parallel processing frameworks is valuable for handling large-scale data processing. ETL and Data Integration: Proficiency in Extract, Transform, Load (ETL) processes and experience with data integration tools like Apache NiFi, Talend, or Informatica is desirable. Knowledge of data transformation techniques and data quality principles is important for ensuring accurate and reliable data. Data Warehousing: Familiarity with data warehousing concepts and experience with popular data warehousing platforms like Amazon Redshift, Google BigQuery, or Snowflake is advantageous. Understanding dimensional modeling and experience in designing and optimizing data warehouses is beneficial. Cloud Platforms: Knowledge of cloud computing platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) is increasingly important. Experience in deploying data engineering solutions in the cloud and utilizing cloud-based data services is valuable. Data Pipelines and Workflow Tools: Experience with data pipeline and workflow management tools such as Apache Airflow, Luigi, or Apache Oozie is beneficial. Understanding how to design, schedule, and monitor data workflows is essential for efficient data processing. Problem-Solving and Analytical Skills: Data engineers should have strong problem-solving abilities and analytical thinking to identify data-related issues, troubleshoot problems, and optimize data processing workflows. Communication and Collaboration: Effective communication and collaboration skills are crucial for working with cross-functional teams, including data scientists, analysts, and business stakeholders. Data engineers should be able to translate technical concepts into clear and understandable terms. Additional Information

Education and Experience Minimum Two years of related experience is highly preferred. Two certifications in GCP (within 3 months after joining). Status: Full-Time Duration: – The Devoteam Group is committed to equal opportunities, promoting its employees on the basis of merit and actively fighting against all forms of discrimination. We believe that diversity contributes to the creativity, dynamism, and excellence of our organization. All our positions are open to people with disabilities. Summary Introduction

We are seeking a

Cloud Solution Architect

to join our dynamic team. In this role, you will be a key technical leader responsible for designing, architecting, and implementing scalable, secure, and high-performing cloud solutions. You will serve as a trusted advisor, translating complex business needs into robust technical solutions on major cloud platforms. Your work will directly impact our technology strategy and drive successful cloud adoption. Key Responsibilities Design end-to-end cloud-native and hybrid solutions leveraging GCP services such as Compute Engine, Cloud Run, Kubernetes Engine (GKE), Cloud Storage, Big Query, Pub/Sub, and Cloud Functions Develop solution blueprints, architecture diagrams, and integration patterns aligned with enterprise standards and business objectives Evaluate existing systems and define cloud migration or modernization Assess existing systems and define cloud migration, modernization, and transformation roadmaps Technical Leadership Provide architecture guidance to solution and development teams throughout the delivery lifecycle Lead design reviews to ensure architectural integrity, scalability, and cost efficiency Establish cloud design patterns, reusable templates, and reference architectures for GCP workloads Governance, Security & Compliance Ensure solutions adhere to cloud governance frameworks, security policies, and compliance requirements Implement best practices for IAM, data encryption, networking, and workload protection in GCP Optimize cost and performance through rightsizing, workload management, and monitoring strategies Collaboration & Stakeholder Management Work closely with business, application, data, and infrastructure teams to translate business needs into secure and reliable cloud architecture design Engage with vendors and partners to evaluate tools, technologies, and service models Document and present architecture decisions, trade-offs, and recommendations to technical and non-technical stakeholders Stay current with GCP updates, cloud trends, and emerging technologies Drive innovation by piloting new cloud services and architecture practices Contribute to the organization’s cloud strategy, frameworks, and technical standards Levallois-Perret . France | #Cloud Engineer Levallois-Perret . France | #Technical Product Owner Machelen . Belgium | #Data Governance Consultant Are you a Data & AI Product Owner

passionate about shaping the future of data-driven solutions? Do you thrive in a consulting environment, guiding clients on their data journey across multiple cloud platforms? If so, we want you to join our team at

Devoteam . The Role As a

Data & AI Product Owner , you'll be a key member of our Data Strategy team. You'll work closely with clients to understand their business challenges and translate them into a compelling vision and capabilities roadmap for data and AI products. You'll be the linchpin connecting business needs with technical solutions, ensuring that our data initiatives deliver real, tangible value. The Product Owner, as a key member of the Data Strategy team, will typically collaborate closely with and receive direction from the Data Strategist. While the Data Strategist focuses on establishing high-level strategic objectives and overall priorities for data and AI initiatives, the Product Owner will translate these broad goals into concrete, actionable plans. This involves defining specific capabilities needed to achieve the strategic vision, breaking down these capabilities into detailed user stories, and for example clearly outlining the "definition of done" for each. On a day-to-day basis, the Product Owner will then work directly with the development team, tracking the sprint cycle and increments, ensuring that the development aligns precisely with the defined capabilities and user stories, and ultimately delivering tangible value in support of the Data Strategist's overarching vision. We are seeking an OutSystems Tech Lead to join our dynamic team in Lisbon, Portugal. In this role, you will be responsible for providing technical leadership across the full software development lifecycle of OutSystems projects. You’ll lead and support a team of developers, drive solution design and architecture, and ensure the delivery of high-quality, scalable applications that align with our clients’ goals. As a Tech Lead, you will also play a key role in backlog management, mentoring junior talent, conducting code reviews, and staying up to date with the latest platform capabilities and industry best practices. Main Responsibilities Provide technical leadership for end-to-end OutSystems projects Design and validate scalable and high-performing application architectures Manage the technical backlog and support the Product Owner in prioritization Perform technical analysis, estimates, and sprint planning Support and g...