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We are looking for a highly skilled&nbsp;Data Engineer&nbsp;with&nbsp;significant technical skills in Azure and business acumen&nbsp;to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the Analytics &amp; Insights team. You will have the opportunity to contribute to the strategy, design and development of our Analytics use cases, providing insights and supporting decision making for end users. The role involves significant collaboration with business and IT teams, and an opportunity to integrate &amp; transform data from various systems into structures that are suitable for building analytical solutions, by developing efficient Azure-based data pipelines.YOUR NEW KEY RESPONSIBILITIES:<ul><li>Collaborate with CCH architects across different IT (DTPS) teams and with cross-functional teams to gather requirements, define technical specifications, and provide architectural guidance for Azure projects. Contribute and align on the strategy, design and implementation of the end2end data journey to expose analytics insights for consumption by different reporting layers;</li><li>Ability to load data from Azure Data Sources (Azure SQL Databricks Warehouse/Synapse), visualize data, setup data refresh, analyze and write queries in SQL;</li><li>Develop and implement data governance and data quality frameworks to ensure the integrity and accuracy of data;</li><li>Design, develop, implement and optimize data pipelines for scalability, performance, security and cost efficiency. Optimize data storage, retrieval, and processing techniques to achieve high performance and cost efficiency;</li><li>Implement security and access control measures to protect sensitive data within Azure environments;</li><li>Perform data profiling, analysis, and validation to identify and address data quality issues.</li><li>Develop and maintain documentation for data solutions, including data models, data flows, and technical specifications;</li><li>Stay up to date with the latest Azure data services, tools, and best practices, and provide recommendations for their adoption;</li><li>Lead and guide Azure developers and data engineers from vendors, providing guidance and support in Azure data engineering techniques and methodologies and ensuring development as per CCH standards and guidelines;</li><li>Ability to understand business requirements and convert into clearly documented technical requirements (dimensions, KBIs, data structure, data granularity, target users), following the agreed guidelines, standards and rules;</li><li>Collaborate with DevOps teams to implement continuous integration and delivery pipelines for Azure-based applications;</li><li>Collaborate with and support PowerBI developers to test different approaches for data connections and data transfers to Power BI, to identify the optimal approach per use case considering data volume, Power BI performance, as well as data quality and security considerations.</li></ul>ARE THESE YOUR SECRET INGREDIENTS?<ul><li>Deep hands-on experience with MS Azure Data Factory, MS Azure Data Lake Storage, SQL Database (T-SQL), Azure Databricks, Proficiency in SQL and data manipulation languages for data extraction, transformation, and loading.</li><li>Deep hands-on experience in Python;</li><li>Experience with data visualization tools and techniques for creating meaningful data insights (e.g., Power BI, PowerApps) is appreciated;</li><li>Experience with Data Science techniques, such as feature engineering and modeling is appreciated;</li><li>Experience in performance optimization techniques in Azure technologies for PowerBI reporting consumption is a plus;</li><li>Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs). Familiarity with big data technologies such as Hadoop, Spark, and Hive;&nbsp;</li><li>Strong hands-on understanding of DevSecOps concepts and tools. Expertise in practical implementation of DevSecOps, in particular Azure DevOps toolkit and automated testing capabilities;</li><li>Strong understanding of DevOps principles and experience with CI/CD pipelines, version control systems (e.g. Git), and automated deployment tools;</li><li>Design and implement data pipelines and ETL processes, ensuring data quality and availability for machine learning models, while possessing a foundational understanding of machine learning concepts and techniques.</li><li>Develop and maintain scalable machine learning pipelines and infrastructure, ensuring seamless integration and deployment of models in production environments (MLOps).</li><li>Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience);</li><li>3+ years of experience in data engineering, data science or related field, with a focus on Azure data platforms;</li><li>Knowledge of SAP BW (extractors, transformations, queries, data export) would be appreciated.</li><li>Understanding of Agile methodology and SAFe Agile is appreciated;</li><li>Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams, stakeholders and vendors;</li><li>Azure certification, such as Azure Data Engineer Associate, is a plus.</li></ul>

Senior Data Engineer - Analytics & Insights

As an IT QE Lead, you will be embarking on a mission to elevate quality to new, exceptional heights. This role is vital to the success of product teams "IT&nbsp;product lifecycle", requiring a unique blend of leadership skills, a comprehensive understanding of the IT products lifecycle and the ability to foresee potential quality issues and address them proactively.As a QE Lead, one of your primary responsibilities is to actively monitor, guide, and mentor product teams. By providing continuous feedback and coaching, you help cultivate a culture of quality and excellence. Effective communication and collaboration skills are essential.You will often be required to make critical decisions regarding quality improvements and corrective actions. This calls for a high level of confidence and assertiveness.By upholding rigorous quality standards, you help establish the company as an industry leader, providing a competitive advantage. YOUR NEW KEY RESPONSIBILITIES: <ul><li>Guide and mentor the teams to follow and adhere to the quality guidelines defined in the IT Global Quality Strategy.</li><li>Make sure that each team is familiar with and know the Quality Gates to be fulfilled.</li><li>Monitor the fulfilment of the Quality Gates defined on all phases of the IT Products Lifecycle.</li><li>Define corrective actions with the team for those unfulfilled Quality Gates and follow up on their effectiveness.</li><li>Gather metrics, generate and publish reports on the Quality for each team.</li><li>Provide feedback to the QA Manager to support the establishment of the Quality Strategy.</li><li>Act as a contact point for all Quality related topics within the Platforms, ARTs &amp; Product teams.</li><li>Act as a contact point between external teams and CCH in order to guarantee transparency and adherence to CCH's internal quality guidelines and promote the proper spirit to work as one team.</li><li>Work close with Scrum Masters and RTEs to support the adherence to the established Agile Methodology.</li><li>On Platform and ART level you keep the overview of the Quality of all product teams.</li><li>Support the onboarding of new team members.</li><li>You will not be performing hands-on test activities, but oversee the quality in each step of the Product Development Lifecycle.</li></ul> ARE THESE YOUR SECRET INGREDIENTS?<ul><li>Bachelor degree in computer science, Information Technology, or a related field is an advantage.</li><li>Minimum of 5 years of hands-on experience in roles related to Quality in Software Development.</li><li>Strong quality-oriented mindset and familiarity with Quality Standards and strong experience fostering such Standards.</li><li>Deep understanding about the complete Product Lifecyle (including project management, risk management, release management, delivery and planning, product maintenance, CI/CD, V&amp;V, etc.)</li><li>Strong understanding of Agile principles and experience working in Agile testing methodologies.</li><li>Previous experience working in SAFe framework is desired.</li><li>Experience in leading and mentoring teams, promoting collaboration and continuous improvement.</li><li>Knowledge in Azure DevOps (ADO) for tickets management (Epics, Features, User Stories, Test Cases, Defects, Tasks) and reporting.</li><li>Excellent understanding on different methodologies as Agile (Scrum, Kanban, etc.), Waterfall</li><li>Understanding on CI/CD and pipelines</li><li>Knowledge on requirements management and risk management</li><li>Knowledge on Release Management and Operations/Maintenance phase (incidents management)</li><li>Familiar with Quality Standards and maturity models</li><li>Understanding on test automation strategies, frameworks, coverage, etc.</li><li>Experience with eCommerce Platforms such as SAP Hybris/SAP Commerce Cloud, Microsoft Dynamics 365, HR Workday, and others will be considered a strong advantage.</li><li>Knowledge and experience in data management and data quality will be considered as strong advantage.</li><li>A broad Quality mindset beyond testing is crucial for the role.</li></ul>

Quality Engineering Lead (QE Lead)

Coca-Cola HBC

senior data engineer - analytics & insights

Coca-Cola HBC

quality engineering lead (qe lead)

Coca-Cola HBC

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