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As part of Data &amp; AI practice, you will combine AI &amp; ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape.Key Responsibilities:<ul><li>Collaborate globally with data engineers, architects, and business stakeholders to define robust data architecture and modeling requirements.</li><li>Develop and optimize ETL processes to integrate data from various sources, ensuring high data quality and reliability.</li><li>Adhere to software engineering best practices for maintainable, scalable, and robust data solutions.</li><li>Mentor junior team members, providing guidelines to ensure high-quality deliverables.</li><li>Communicate complex technical solutions to senior management and diverse stakeholders effectively.</li><li>Contribute to sales activities through data and platform architecture expertise</li><li>Stay updated on industry trends and contribute to internal initiatives, R&amp;D, and business development projects.</li><li>Research, design, build, and implement Machine Learning systems, and maintain, and improve existing ones</li></ul>show lessQualificationsWHO WE´RE LOOKING FOR?&nbsp;<ul><li>Bachelor's degree in Computer Science, Engineering or related fields.</li><li>Master’s or PhD in Computer Science, Engineering or related fields is strongly recommended.</li><li>Industry vendor certifications are desired (e.g. AWS, Azure, GCP, CNCF/Kubernetes or Databricks certifications); although not essential if you have demonstrable ability.</li><li>3+ years in data engineering, with a strong emphasis on cloud environments - AWS, GCP, Azure, or Cloud Native platforms.</li><li>Expertise in designing, developing, and managing scalable, end-to-end data pipelines (ADF, Airflow or dbt,).</li><li>Proficient in Big Data Platforms (Hadoop, Databricks, Hive, Kafka, Apache Iceberg or Microsoft Fabric), Data Warehouses (Teradata, Snowflake, BigQuery etc.) and lakehouses (Delta Lake, Apache Hudi)</li><li>Proficient in programming languages such as SQL, Python and Pyspark with strong skills in writing scalable, readable and maintainable code using object-oriented programming concept.</li><li>Implement DevOps practices, including Git workflows and CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) to enhance automation and streamline deployments.</li><li>Experience in project management frameworks such as Waterfall or Agile.</li><li>Knowledge in MLOps practices, utilizing MLflow for experiment tracking, model registry, model evaluation, and model serving.</li><li>Ability to collaborate in multinational environments.</li><li>Willingness to travel and proficiency in Greek and English.</li></ul>Considered a plus:<ul><li>Experience with different data execution paradigms, including low latency/streaming, batch, and micro-batch processing (Apache Kafka, Databricks Streaming processing, Apache StreamSets).</li><li>Knowledge of data management frameworks (data governance, data quality, data security, data dictionary, metadata management) with tools like Databricks Unity Catalog, Apache Atlas, Informatica etc.</li><li>Familiarity with containerization and orchestration tools like Docker and Kubernetes.</li><li>Understanding of API gateway and service mesh architectures (e.g., Istio).</li><li>Familiarity working with Linux-based operating systems.</li><li>Familiarity with working with REST APIs.</li></ul>WHAT’S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous training &amp; development through global platforms &amp; local academy. At Accenture, we believe in bringing the best to our clients through continuous learning &amp; improvement – from basic skills to industry-specific content – available to all our people</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strength and skill-based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.The safety and well-being of our candidates and employees remain our priority. Please note that the recruitment process for opportunities in Accenture Greece will be conducted only via online format during the current period.

Senior AI & Data Engineer

We are looking for a highly skilled and experienced Senior Azure Developer with significant technical skills in Azure and business acumen to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the BI Reporting team. You will have the opportunity to contribute to the strategy, design and development of our Enterprise and Operational Reporting, providing insights and supporting decision making for end users. The role involves significant collaboration with business and IT teams, opportunity to integrate &amp; transform data from various data systems into structures that are suitable for building analytical solutions, design, develop and implement Azure-based solutions connecting certified and validated data sources to Power BI front-end visualizations and creating a single source of truth for reporting in CCH.YOUR KEY RESPONSIBILITIES:• Assist in the design, development, and maintenance of ETL (Extract, Transform, Load) processes using Azure Data Factory• Implement data ingestion processes from various data sources into Azure data storage solutions.• Work with Azure SQL Database, Azure Data Lake Storage, and Hive &amp; Databricks to store and manage large datasets (Terabytes of data)• Ensure data integrity and availability by implementing appropriate storage solutions• Integrate data from various sources, ensuring accuracy, completeness, and consistency• Collaborate with data scientists and analysts to understand data requirements and provide necessary supportARE THESE YOUR SECRET INGREDIENTS?• Bachelor's or Master’s degree in computer science, information technology, data science, or a related field (or an equivalent of 7+ years of practical experience in a tech-domain)• Master’s degree in computer science, information technology, data science, or a related field (or an equivalent of 7+ years of practical experience in a tech-domain)• Hands-on experience with MS Power BI, MS PowerApps, MS Azure Data Factory, MS Azure Data Lake Store, SQL Database (T-SQL), DAX &amp; Power Query M (3+ years)• Proven track record of implementing proof-of-concept (POC) backend solutions• Expert knowledge with cloud platforms (Azure, Google Cloud Storage, Amazon), preferably Microsoft Azure – with a focus on data warehousing &amp; backend development• Strong programming skills in languages such as C#, .NET, Python, Scala or Java• 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 as well as strong knowledge with data manipulation frameworks such a PySpark• Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs) are a plus• First proven leadership capabilities towards junior employees and a proactive approach to project management is a plus• Strong analytical &amp; problem-solving abilities, as well as good communication skills• Strong willingness to learn and adapt to new technologies and tools• Good proficiency in English as a day-to-day business language is a must.Preferred qualifications:• Strong hands-on understanding of data modelling concepts and techniques as well as DevSecOps concepts and tools and practical experience in their implementation• Strong understanding of DevOps principles and experience with CI/CD pipelines• Working experience within the SAFE Agile framework is appreciated• Knowledge of SAP BW (extractors, transformations, queries, data export) and Azure Data Sources would be appreciatedABOUT YOUR NEW TEAM:We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don’t have the perfect experience. We have faith in what every person can be.And although we have so much to be proud of, we always stay humble. We believe the real magic happens – for us and for you – when we OPEN UP.AT COCA-COLA HBC, DIVERSITY HELPS US THRIVEAt Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.

Senior Data Developer (Azure)

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senior ai & data engineer

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senior data developer (azure)

Coca-Cola HBC

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