[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-data-engineerarchitect-aws-dia-datamarts2981-allianz-insurance-de-es":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":12,"featured_until":7,"is_active":13,"deactivated_at":7,"is_enriched":13,"processed_job_posting_json":14,"processed_latitude":57,"processed_longitude":59,"processed_employment_types":61,"processed_working_hours":62,"processed_working_hours_labels":64,"processed_home_office":65,"processed_salary_min":53,"processed_salary_max":54,"processed_salary_currency":50,"processed_salary_source":66,"processed_benefits":67,"processed_benefits_labels":79,"processed_industry":80,"processed_skills":7,"processed_job_location":81,"processed_full_address_gmaps":83,"processed_street_gmaps":84,"processed_city_gmaps":85,"processed_postal_code_gmaps":87,"processed_country_gmaps":89,"processed_country_iso_code_gmaps":91,"full_description":17,"formatted_description":93,"processed_employment_types_labels":23,"processed_home_office_labels":21,"processed_industry_labels":25,"processed_it_skills":94,"processed_it_skills_labels":97,"processed_soft_skills":98,"processed_soft_skills_labels":99,"processed_job_expertise_skills":100,"processed_job_expertise_skills_labels":101,"processed_language_requirements":102,"processed_total_experience_years":109,"processed_professional_field":110,"processed_professional_field_labels":113,"processed_leadership_role":12,"processed_date_posted":20,"raw_job_url":114,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":80,"canonical_industry_label":25,"max_cpc":115,"actual_cpc":7},45559,"data-engineerarchitect-aws-dia-datamarts2981-allianz-insurance","Data Engineer&Architect AWS (DIA Datamarts)_2981",null,{"name":9,"slug":10,"logo_url":11},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",false,true,{"@context":15,"@type":16,"title":6,"description":17,"hiringOrganization":18,"datePosted":20,"jobLocationType":21,"employmentType":22,"industry":24,"skills":26,"baseSalary":48,"validThrough":56},"https:\u002F\u002Fschema.org\u002F","JobPosting","\u003Cp>\u003Cspan style=\"font-family: arial, helvetica, sans-serif; color: deepskyblue;\">\u003Cstrong>About the Job\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">As part of the Allianz in Germany data ecosystem OneDIA, more than 200 data products need to be migrated from the legacy technology stack toward Snowflake and AWS.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-family: arial, helvetica, sans-serif; color: deepskyblue;\">\u003Cstrong>What you do\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fp>\u003Cul type=\"disc\">\u003Cli style=\"font-family: arial, helvetica, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">Create data models for all elements to be modelled (tables, datamarts, etc.).\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"font-family: arial, helvetica, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">Implement the entire ETL processes as part of the architecture and processes specified by the OneDIA ecosystem.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"font-family: arial, helvetica, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">Define and implement the necessary landing zone and data store for ingesting the raw data.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"font-family: arial, helvetica, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">Carry out the staging using data lake architecture and processes.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"font-family: arial, helvetica, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">Set up the raw data vault for the OE and across the board as well as the business data vault for OE and across the board.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"font-family: arial, helvetica, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">Create customer-specific data warehouses and data marts within the scope of the Consumption Layer using data from different sources.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"font-family: arial, helvetica, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">Create the necessary pipelines for the creation and orchestration of the entire ETL process. Connect the Data Catalog to check the input data and verify the results of the processing procedures.\u003C\u002Fspan>\u003C\u002Fli>\u003C\u002Ful>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-family: arial, helvetica, sans-serif; background-color: white; color: deepskyblue;\">\u003Cstrong>What you bring\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fp>\u003Cul type=\"disc\">\u003Cli style=\"font-family: arial, helvetica, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">At least 5 years of experience on the following: Snowflake, DBT (incl. GitHub), Agile teams and agile delivery, AWS-based components for data, IaaS and container.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"font-family: arial, helvetica, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">Experience in design and implementation of data solutions architecture\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"font-family: arial, helvetica, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">Team player, solution-oriented, open-minded and strong communication skills.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"font-family: arial, helvetica, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">Proficient in English, both written and spoken.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"font-family: arial, helvetica, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">ETL environment and tools: Snowflake, DBT, AWS components for data processing.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"font-family: arial, helvetica, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">Orchestration: AWS step functions, UC4.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"font-family: arial, helvetica, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">Data Catalog and Quality: IDMC.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"font-family: arial, helvetica, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">Experience in GenAI and Machine learning\u003C\u002Fspan>\u003C\u002Fli>\u003C\u002Ful>\u003Cp style=\"margin: 0.0in 0.0in 6.0pt; text-align: justify; line-height: normal; font-size: 11.0pt; font-family: Calibri, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif;\">\u003Cstrong>\u003Cspan style=\"font-size: 10pt; color: #3b3838;\"> \u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fp>\u003Cp style=\"margin: 0.0in 0.0in 6.0pt; text-align: justify; line-height: normal; font-size: 11.0pt; font-family: Calibri, sans-serif;\">\u003Cspan style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt;\">\u003Cstrong>\u003Cspan style=\"color: #00b0f0;\">What we offer\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fp>\u003Cul>\u003Cli style=\"text-align: justify; line-height: normal; font-size: 12pt; font-family: arial, helvetica, sans-serif; color: black;\">\u003Cspan style=\"font-size: 12pt; font-family: arial, helvetica, sans-serif; color: black;\">We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"text-align: justify; line-height: normal; font-size: 12pt; font-family: arial, helvetica, sans-serif; color: black;\">\u003Cspan style=\"font-size: 12pt; font-family: arial, helvetica, sans-serif; color: black;\">We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"text-align: justify; line-height: normal; font-size: 12pt; font-family: arial, helvetica, sans-serif; color: black;\">\u003Cspan style=\"font-size: 12pt; font-family: arial, helvetica, sans-serif; color: black;\">From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli style=\"text-align: justify; line-height: normal; font-size: 12pt; font-family: arial, helvetica, sans-serif; color: black;\">\u003Cspan style=\"font-size: 12pt; font-family: arial, helvetica, sans-serif; color: black;\">Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.\u003C\u002Fspan>\u003C\u002Fli>\u003C\u002Ful>",{"@type":19,"name":9},"Organization","2026-08-09","HYBRID",[23],"PERMANENT",[25],"Insurance",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47],"Snowflake","DBT","AWS","GitHub","ETL","Data Modeling","Data Catalog","Orchestration","GenAI","Machine Learning","Teamwork","Solution-oriented","Open-mindedness","Communication","Data Architecture","Data Vault","Data Warehousing","Data Marts","Staging","Data Lake","Agile Delivery",{"@type":49,"currency":50,"value":51},"MonetaryAmount","EUR",{"@type":52,"minValue":53,"maxValue":54,"unitText":55},"QuantitativeValue",70000,95000,"YEAR","2027-08-09",[58],41.38879,[60],2.15899,"permanent",[63],"FULL_TIME",[63],"hybrid","estimated",[68,69,70,71,72,73,74,75,76,77,78],"Hybrid work model","Up to 25 days per year working from abroad","Company bonus scheme","Pension","Employee shares program","Employee discounts","Career development and digital learning programs","International career mobility","Flexible working","Health and wellbeing offers","Parental leave benefits",[68,69,70,71,72,73,74,75,76,77,78],"insurance",[82],"allianz, 08005, barcelona, spain",[],[],[86],"Barcelona",[88],"08005",[90],"Spain",[92],"ES","## **About the Job**\n\nAs part of the Allianz in Germany data ecosystem OneDIA, more than 200 data products need to be migrated from the legacy technology stack toward Snowflake and AWS.\n\n## **What you do**\n\n- Create data models for all elements to be modelled (tables, datamarts, etc.).\n- Implement the entire ETL processes as part of the architecture and processes specified by the OneDIA ecosystem.\n- Define and implement the necessary landing zone and data store for ingesting the raw data.\n- Carry out the staging using data lake architecture and processes.\n- Set up the raw data vault for the OE and across the board as well as the business data vault for OE and across the board.\n- Create customer-specific data warehouses and data marts within the scope of the Consumption Layer using data from different sources.\n- Create the necessary pipelines for the creation and orchestration of the entire ETL process. Connect the Data Catalog to check the input data and verify the results of the processing procedures.\n\n## **What you bring**\n\n- At least 5 years of experience on the following: Snowflake, DBT (incl. GitHub), Agile teams and agile delivery, AWS-based components for data, IaaS and container.\n- Experience in design and implementation of data solutions architecture\n- Team player, solution-oriented, open-minded and strong communication skills.\n- Proficient in English, both written and spoken.\n- ETL environment and tools: Snowflake, DBT, AWS components for data processing.\n- Orchestration: AWS step functions, UC4.\n- Data Catalog and Quality: IDMC.\n- Experience in GenAI and Machine learning\n\n## **What we offer**\n\n- We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad.\n- We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).\n- From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.\n- Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.",{"aws":95,"dbt":95,"etl":95,"genai":96,"github":96,"snowflake":95,"data catalog":96,"data modeling":95,"orchestration":96,"machine learning":96},4,3,[27,28,29,30,31,32,33,34,35,36],{"teamwork":95,"solution-oriented":95,"open-mindedness":95,"communication":95},[37,38,39,40],{"staging":95,"data lake":95,"data marts":95,"data vault":95,"agile delivery":95,"data warehousing":95,"data architecture":95},[41,42,43,44,45,46,47],{"detected_language_jobad":103,"required":104},"en",[105],[106],{"language":107,"level":108},"ENGLISH","C1",5,[111,112],"Database and Network Professionals","Software and Applications Developers and Analysts",[111,112],"https:\u002F\u002Fcareers.allianz.com\u002Fglobal\u002Fen\u002Fjob\u002F102511\u002Fdata-engineer-architect-aws-dia-datamarts",1]