{"data":{"id":214016,"slug":"senior-data-engineer-19","type":"job","title":"Senior Data Engineer","description":"The main tasks this person will support with are:\nIntegrate into an agile scrum team and apply agile ways of working in relation to software development, including rapid prototyping and outcome-based evaluation.\nWork with and contribute to a DevOps setup (continuous integration, etc.) for test-driven development on Google Cloud Platform.\nWrite demanding SQL queries that Extract, Transform and Load data from storage to an appropriate format, using joins, nesting and similar operations as an integral component of data processing pipelines to facilitate reporting and analytics.\nProduce all required design specifications and drive the implementation of appropriate data models, schemas and their associated processing and transformation pipelines, in order to satisfy changing business requirements while ensuring continuously stable running operations.\nSet up monitoring for data quality. Implement data validation checks and data quality dashboards, in order to ensure a high degree of trust in the data residing in the systems, as well as in the decisions supported by insights extracted from it.\n\n\nDesired knowledge, competence, experience, skills etc.:\nBroad knowledge of SQL for data processing and analysis\nBroad knowledge of programming languages (e.g. Java, Go, Python, or Scala), including concepts from functional and object-oriented programming paradigms\nGood knowledge of new and emerging tools for extracting, ingesting, and processing of large datasets (Apache Spark, Beam, Kafka, or equivalent)\nGood knowledge of digital product development principles and the importance of rapid validated learning cycles to optimize performance long term\nGood knowledge of collaborative software engineering practices (Agile, DevOps), in which solutions evolve through the effort of self-organizing cross-functional teams.\n\n \n \nThree most important things:\n1. Broad knowledge of SQL for data processing and analysis\n2. Broad knowledge of programming languages (e.g. Java, Go, Python, or Scala), including concepts from functional and object-oriented programming paradigms\n3. Good knowledge of new and emerging tools for extracting, ingesting, and processing of large datasets (Apache Spark, Apache Beam, Kafka, or equivalent)","language":"sv","is_translated":true,"title_original":"Senior Data Engineer","description_original":"The main tasks this person will support with are:\nIntegrate into an agile scrum team and apply agile ways of working in relation to software development, including rapid prototyping and outcome-based evaluation.\nWork with and contribute to a DevOps setup (continuous integration, etc.) for test-driven development on Google Cloud Platform.\nWrite demanding SQL queries that Extract, Transform and Load data from storage to an appropriate format, using joins, nesting and similar operations as an integral component of data processing pipelines to facilitate reporting and analytics.\nProduce all required design specifications and drive the implementation of appropriate data models, schemas and their associated processing and transformation pipelines, in order to satisfy changing business requirements while ensuring continuously stable running operations.\nSet up monitoring for data quality. Implement data validation checks and data quality dashboards, in order to ensure a high degree of trust in the data residing in the systems, as well as in the decisions supported by insights extracted from it.\n\n\nDesired knowledge, competence, experience, skills etc.:\nBroad knowledge of SQL for data processing and analysis\nBroad knowledge of programming languages (e.g. Java, Go, Python, or Scala), including concepts from functional and object-oriented programming paradigms\nGood knowledge of new and emerging tools for extracting, ingesting, and processing of large datasets (Apache Spark, Beam, Kafka, or equivalent)\nGood knowledge of digital product development principles and the importance of rapid validated learning cycles to optimise performance long term\nGood knowledge of collaborative software engineering practices (Agile, DevOps), in which solutions evolve through the effort of self-organising cross-functional teams.\n\n \n \nThree most important things:\n1. Broad knowledge of SQL for data processing and analysis\n2. Broad knowledge of programming languages (e.g. Java, Go, Python, or Scala), including concepts from functional and object-oriented programming paradigms\n3. Good knowledge of new and emerging tools for extracting, ingesting, and processing of large datasets (Apache Spark, Apache Beam, Kafka, or equivalent)","price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":null,"full_address":null,"city":"Helsingborg","country":"SE","latitude":56.0442098,"longitude":12.703706},"metadata":{"region":"Sk\u00e5ne l\u00e4n","duration":"Tills vidare","employer":"Berlin Information Technology AB","positions":3,"profession":"Mjukvaruutvecklare","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","scope_of_work":"100\u2013100 %","working_hours":"Heltid","employment_type":"full_time","occupation_field":"Data\/IT","employer_workplace":"Helsingborg","experience_required":true,"employment_type_label":"Tillsvidareanst\u00e4llning (inkl. eventuell provanst\u00e4llning)"},"user_id":null,"is_sponsored":false,"views_count":0,"ai_views_count":3,"bot_views_count":2,"ai_vendor_counts":{"other":1,"openai":1,"anthropic":1},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":null,"owner_email":"martin.berlin@berlinit.se","images":[],"published_at":"2026-09-15T16:51:20+00:00","expires_at":"2026-10-15T23:59:59+00:00","created_at":"2026-09-16T03:24:13+00:00","updated_at":"2026-09-18T04:07:40+00:00"}}