{"data":{"id":79013,"slug":"data-engineer-23","type":"job","title":"Data Engineer","description":"In this role, you will work with our customers on various data engineering projects. This role is perfect for those with a good foundation in data engineering, and a passion for operational excellence in data management and analytics. You will design, build, and maintain efficient, scalable data pipelines and work closely with data scientists, analysts, and stakeholders to deliver customized data solutions that drive impactful business decisions.\n\nDevelop and manage scalable data pipelines, ensuring efficient and reliable data flows.\nImplement processes and solutions to improve data quality, accuracy, and consistency.\nCreate scripts and tools to automate repetitive tasks, improving efficiency and reducing manual work.\nBuild and maintain data integrations, including file, messaging, and API-based systems.\nDevelop data models tailored to meet business requirements.\nContribute to implementing infrastructure as code solutions.\nCollaborate with data scientists, architects, and software developers to support the creation of data architecture and governance models.\nEnhance the performance of existing data pipelines, optimizing queries and indexing for faster data retrieval.\nImplement security measures to protect data from unauthorized access.\nEnsure compliance with data governance policies and regulatory requirements, maintaining documentation and data lineage.\nMonitor cost efficiency and identify areas for optimization.\n\nYou are passionate about building data products and enabling data-driven decisions.\nYou enjoy sharing knowledge and learning new things in the data, analytics & AI area.\nYou want to develop and maintain robust, scalable data and analytics systems.\nYou have the ability to work both independently and collaboratively within a team environment.\nFluent in English both written and verbal.\nYou are eager to learn and have a basic understanding of working with data sets.\nYou are gaining experience with ETL workflows and excited to improve your skills in streamlining these processes.\nYou have foundational knowledge of big data concepts, cloud technologies, and data modeling.\nYour skills in SQL and Python are strong, with a focus on writing efficient queries.\nYou are gaining hands-on experience with cloud platforms like AWS, Azure, or Google Cloud and are keen to expand your knowledge.","language":"sv","is_translated":true,"title_original":"Data Engineer","description_original":"In this role, you will work with our customers on various data engineering projects. This role\nis perfect for those with a good foundation in data engineering, and a passion for operational\nexcellence in data management and analytics. You will design, build, and maintain efficient,\nscalable data pipelines and work closely with data scientists, analysts, and stakeholders to\ndeliver customized data solutions that drive impactful business decisions.\nDevelop and manage scalable data pipelines, ensuring efficient and reliable data flows.\nImplement processes and solutions to improve data quality, accuracy, and consistency.\nCreate scripts and tools to automate repetitive tasks, improving efficiency and reducing manual work.\nBuild and maintain data integrations, including file, messaging, and API-based systems.\nDevelop data models tailored to meet business requirements.\nContribute to implementing infrastructure as code solutions.\nCollaborate with data scientists, architects, and software developers to support the\ncreation of data architecture and governance models.\nEnhance the performance of existing data pipelines, optimizing queries and indexing for faster data retrieval.\nImplement security measures to protect data from unauthorized access.\nEnsure compliance with data governance policies and regulatory requirements, maintaining documentation and data lineage.\nMonitor cost efficiency and identify areas for optimization.\nYou are passionate about building data products and enabling data-driven decisions.\nYou enjoy sharing knowledge and learning new things in the data, analytics & AI area.\nYou want to develop and maintain robust, scalable data and analytics systems.\nYou have the ability to work both independently and collaboratively within a team environment.\nFluent in English both written and verbal.\nYou are eager to learn and have a basic understanding of working with data sets\nYou are gaining experience with ETL workflows and excited to improve your skills in\nstreamlining these processes.\nYou have a foundational knowledge of big data concepts, cloud technologies, and data modeling.\nYour skills in SQL and Python are strong, with a focus on writing efficient queries.\nYou are gaining hands-on experience with cloud platforms like AWS, Azure, or Google\nCloud and are keen to expand your knowledge.","available_locales":["en"],"price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":null,"full_address":null,"city":"Stockholm","country":"SE","latitude":59.3251172,"longitude":18.0710935},"metadata":{"region":"Stockholms l\u00e4n","duration":"Tills vidare","employer":"Celsus Engineering AB","positions":2,"profession":"Dataanalytiker","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","employer_url":"http:\/\/celsusengineering.se","scope_of_work":"100\u2013100 %","working_hours":"Heltid","employment_type":"full_time","occupation_field":"F\u00f6rs\u00e4ljning, ink\u00f6p, marknadsf\u00f6ring","employer_workplace":"Celsus Engineering AB","experience_required":true,"employment_type_label":"Tillsvidareanst\u00e4llning (inkl. eventuell provanst\u00e4llning)"},"user_id":null,"is_sponsored":false,"views_count":9,"ai_views_count":11,"bot_views_count":1,"ai_vendor_counts":{"meta":2,"other":1,"openai":5,"anthropic":3},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":null,"owner_email":"support@celsusengineering.se","images":[],"published_at":"2026-05-21T12:21:25+00:00","expires_at":"2026-11-10T23:59:59+00:00","created_at":"2026-06-21T05:07:25+00:00","updated_at":"2026-09-22T02:50:29+00:00"}}