{"id":2265430,"url":"https://alion.io/job/accenture-greece-ai-data-engineer","title":"AI & Data Engineer","company":{"id":920205,"name":"Accenture Greece","domain":"accenture.gr","url":"https://alion.io/company/accenture-gr","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Athens, Greece"],"countries":["GR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache NiFi","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Informatica","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Delta Lake","optional":true},{"name":"Flink","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Jenkins","optional":true},{"name":"MLFlow","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-09T08:54:47Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T05:30:05Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Are you ready to be a part of the digital reinvention of industry and revolutionize your career? In today’s world, business leaders want to rapidly and confidently reinvent to increase resilience, mitigate risk, and grow with sustainable value.\nThat’s where Accenture Strategy & Consulting - Data & AI comes in. We bring together strategic visionaries, industry experts, practitioners from across every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients.\nStrategy and Consulting is one of four services -the others are Song, Technology and Operations\nWORK YOU’LL DO\n As part of Data & AI practice, you will combine AI & 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.\nKey Responsibilities:\n\nAssist in the development and optimization of scalable data pipelines and workflows in cloud environments.\nSupport senior data engineers and architects by gathering requirements and helping define robust data models and architecture.\nApply DevOps practices, including basic Git workflows and involvement in CI/CD pipelines.\nContribute to maintaining data quality, security, and governance standards across all data-related activities.\nCollaborate with cross-functional teams to ensure data solutions align with business needs and quality standards.\nResearch, design, build, and implement Machine Learning systems, and maintain, and improve existing ones\n WHO WE RE LOOKING FOR? \nBachelor’s degree in Computer Science, Engineering, or a related field.\nSome experience or internships in data engineering or a related field, demonstrating foundational skills. Proficiency in SQL and experience with programming languages such as Python or PySpark.\nUnderstanding of data modeling concepts and databases/data warehouses (Azure Synapse Analytics, Databricks SQL Warehouse, Snowflake, SQL Server or Big Query).\nFamiliarity with ETL tools such as (Data Factory, dbt, Airflow, Apache Nifi or Informatica).\nFamiliarity with cloud platforms (Azure, AWS, or GCP).\nGood analytical skills and a problem-solving mindset.\nAbility to collaborate in multinational environments.\nWillingness to travel and proficiency in Greek and English.\n Considered a plus:\nSome exposure to big data technologies and parallel processing tools such as Apache Hive, Spark, Kafka or Flink.\nFamiliarity with the Databricks platform, including its components like Delta Lake, Databricks SQL, and Mlflow for comprehensive big data analytics and machine learning workflows.\nFamiliarity with data management frameworks (data governance, data quality, data security, data dictionary, metadata management).\nUnderstanding of DevOps practices, including Git workflows and CI/CD pipelines with experience using tools such as Azure DevOps, Jenkins, and GitHub Actions.\nEnthusiastic about learning and adopting new technologies and methodologies.\n WHAT S IN IT FOR YOU?\nCompetitive 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\nContinuous hard and soft skills training & development through global platforms & local academy\nCareer coaching and mentorship to help you manage your career and develop professionally\nOngoing strengths and skills based evaluation process\nVarious opportunities to develop your career across a spectrum of clients, industries and projects\nDiverse and inclusive culture\nCorporate citizenship initiatives (access to volunteering opportunities, charity work etc.)\nUnder our Brain Regain initiative, extra relocation benefits may apply\nTo learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.","description_format":"text","description_chars":4427,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Greek","level":"Advanced (C1)","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Flexible schedule","Health insurance","Parental leave","Performance based bonus"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["IT Consulting & Digital Transformation","Management 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