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. Madrid . Spain | #Machine Learning / AI engineer

Skhirat . Morocco | #Other Support Functions

Amsterdam . Netherlands | #Management Consultant

What you’ll be doing If you like these keywords you’ll love this role : #jira #workflows #projectmanagement #documentation #software Do you have experience with Atlassian products such as Jira, Confluence or Bitbucket? We’re looking for an Alassian Consultant who loves to configure and optimize Atlassian tools for our clients. The end goal : ensure seamless collaboration experiences within and between the teams of our clients’ organizations. You’ll be part of our multidisciplinary Innovative Tech team, where DevOps, Agile, Cloud & Software Engineering experts all work together to create remarkable solutions based on cutting-edge technology. In this role you work with your team on projects such as optimizing the Jira / Confluence environments of our clients so that the experience of end-users improves, supporting Atlassian cloud migrations, configuring new Bitbucket environments, and so on. Together, we empower leading enterprises & governments to bring positive change to the world with cutting-edge technology & digital strategies. Create new solutions and see them through, from conception to production; Turn requirements into simple and sophisticated technological systems; Design, build, and maintain efficient, reusable, and reliable code; Research new technologies to find new and efficient ways to solve day to day challenges; Challenge the status quo and improve the team and product. Work closely with clients and internal teams to identify and prioritize business needs, translating them into clear, feasible solutions using low-code platforms, particularly OutSystems; Collaborate in the project planning and delivery by contributing to timeline definition, scope management, resource allocation, risk identification, and progress reporting; Drive the requirements gathering and analysis process, ensuring alignment between business stakeholders and development teams; Create and maintain clear, detailed user stories, continuously refining the project backlog and ensuring that acceptance criteria are well understood and achievable; Actively participate in Agile ceremonies such as daily stand-ups, sprint planning, and sprint reviews, negotiating priorities, deadlines, and scope changes with clients; Support on functional demos with stakeholders, feedback collection and analysis to contribute to continuous product improvement; Ensure the implementation of best practices in functional analysis, with a strong focus on delivery quality, team collaboration, and expectation alignment; Functional testing and validation processes in test environments, ensuring the quality and readiness of the delivered solutions. Translate business needs to technical specifications Design, build, and maintain charts, dashboards, and KPIs Design & build BI test cases Facilitate the UAT workshops with the with business Play key roles in building RSD (Report Specs Document) and KPI cards Participate heavily in designing & building BI user guides and awareness sessions Conduct unit testing and troubleshooting Story-telling using data visualization Communicate with data warehousing and BI storage tools (e.g. OLAP cubes) to get the data for the visualizations Evaluate and improve existing BI systems Develop and execute SQL database queries and conduct analyses Work with different data format; structured, semi-structured, and geospatial Data cleansing and normalization when needed Perform descriptive, diagnostic, and predictive analysis on the data Levallois-Perret . France | #Offensive CyberSecurity Engineer

Levallois-Perret . France | #Strategy Consultant

Frankfurt am Main . Germany | #Data Scientist #J-18808-Ljbffr