{"data":{"id":207481,"slug":"data-engineer-apotek-hjartat","type":"job","title":"Data Engineer - Apotek Hj\u00e4rtat","description":"Here's How a Data Engineer Works at Apotek Hj\u00e4rtat:\nYou'll be part of a team where everyone's contribution counts to realize the AI and Data Journey at Apotek Hj\u00e4rtat. The Data engineering team collaborates closely with BI and Data Analysts to shape and realize the data foundation that makes a difference, providing great data and analysis experience for all users. Additionally, you will engage in cross-functional collaboration with other teams including developers, engineers, and architects.\nYou will be part of building our new data platform on Azure and Databricks. You'll have real influence over how we work with data across the organization.\n\n\nTogether with your colleagues, you will:\nDesign and build scalable data pipelines that reliably bring in data from databases, APIs, streaming platforms like Kafka, and other external sources and turn them into Data products.\nDevelop shared integration patterns that make it simpler and faster to onboard new data domains, reducing friction for the teams that depend on good data.\nCo-create our gold layer and semantic model with Data Analysts and Architects \u2014 securing consumption-ready data for analysts and decision-makers.\nBe part of the solutions in a truly agile setup on Databricks and Azure \u2014 you build it, you run it, you improve it.\n\n\nBuilding on the strong ICA culture of collaboration, our team culture is built on curiosity, trust, autonomy, and shared ownership of results.\n\nWho are we looking for?\nWe are expanding our team and looking for a senior Data Engineer to join the team.\nAs a Data Engineer, you will play a key role in taking our new data platform to the next level. To succeed in this role, you should:\nBe looking for a great Data Engineering team with a strategic data platform project at hand where you can have real influence on the direction and outcome\nBe curious and have the ability to effectively understand business requirements and how to turn them into data products that people want to use\nExperience in building and optimizing data pipelines and data lakes\/warehouses in a cloud environment (Azure, GCP, or AWS). Preferably Azure and Databricks\nProficiency in Python and SQL\nProficiency and a keen interest in how agentic coding and AI can speed up the development process\nExperience with Infrastructure as Code (IaC) tools like Terraform is considered a merit\n\n\nProfessional working proficiency in Swedish is considered a strong merit\nA valid work permit for Sweden or EU citizenship\n\n\nAbout Apotek Hj\u00e4rtat\nAt Apotek Hj\u00e4rtat, we have a meaningful mission \u2013 to help people feel better. With 400 pharmacies across Sweden and an e-commerce platform, we are always close to our customers. As part of ICA Gruppen, we offer great opportunities for both personal and professional growth in a culture built on trust, care, and innovation.\n\nApply Now:\nFor any inquiries about the position, please contact the hiring manager, Karl Berth\u00e9n, Manager Data & Analytics, karl.berthen@apotekhjartat.se. For questions regarding the recruitment process, please reach out to Klara Himmelstrand, Talent Acquisition Partner, klara.himmelstrand@apotekhjartat.se. Apply as soon as possible, but no later than 2026-09-01. If the role requires it, you will need to undergo work psychological tests and background checks before employment. All external assistance with recruitment is declined.","language":"sv","is_translated":true,"title_original":"Data Engineer - Apotek Hj\u00e4rtat","description_original":"Here\u2019s How a Data Engineer Works at Apotek Hj\u00e4rtat: \nYou'll be part of a team where everyone's contribution counts to realise the AI and Data Journey at Apotek Hj\u00e4rtat. The Data engineering team collaborate closely with BI and Data Analysts to shape and realise the data foundation that makes a difference, providing great data and analysis experience for all users. Additionally, you will engage in cross-functional collaboration with other teams including developers, engineers and architects. \nYou will be a part of building our new data platform on Azure and Databricks. You'll have real influence over how we work with data across the organization.\n\n\nTogether with your colleagues, you will: \nDesign and build scalable data pipelines that reliably bring in data from databases, APIs, streaming platforms like Kafka, and other external sources and turning them as Data products. \nDevelop shared integration patterns that make it simpler and faster to onboard new data domains, reducing friction for the teams that depend on good data. \nCo-create our gold layer and semantic model with Data Analysts and Architects \u2014 securing a consumption ready data for analysts and decision-makers. \nBe part of the solutions in a truly agile setup on Databricks and Azure \u2014 you build it, you run it, you improve it. \n\n \nBuilding on the strong ICA culture of collaboration, our team culture is built on curiosity, trust, autonomy, and shared ownership of results. \n \nWho are we looking for? \nWe are expanding our team and looking for a senior Data Engineer to the team. \nAs a Data Engineer, you will play a key role in taking our new data platform to the next level. To succeed in this role, you should: \nBe looking for a great Data Engineering team with a strategic data platform project at hand where you can have real influence on the direction and outcome \nBe curious and have the ability to effectively understand business requirements and how to turn them into data products that people want to use \nExperience in building and optimizing data pipelines and data lakes\/warehouses in a cloud environment (Azure, GCP or AWS). Preferably Azure and Databricks \nProficiency in Python and SQL \nProficiency and a keen interest of how agentic coding and AI can speed up the development process \nExperience with Infrastructure as Code (IaC) tools like Terraform is considered a merit\n\n\nProfessional working proficiency in Swedish is considered a strong merit\nA valid work permit for Sweden or EU citizenship \n\n \nAbout Apotek Hj\u00e4rtat \nAt Apotek Hj\u00e4rtat, we have a meaningful mission \u2013 to help people feel better. With 400 pharmacies across Sweden and an e-commerce platform, we are always close to our customers. As part of ICA Gruppen, we offer great opportunities for both personal and professional growth in a culture built on trust, care, and innovation. \n \nApply Now: \nFor any inquiries about the position, please contact the hiring manager, Karl Berth\u00e9n, Manager Data & Analytics, karl.berthen@apotekhjartat.se. For questions regarding the recruitment process please reach out to Klara Himmelstrand, Talent acquisition partner, klara.himmelstrand@apotekhjartat.se. Apply as soon as possible, but no later than 2026-09-01. If the role requires it, you will need to undergo work psychological tests and background checks before employment. All external assistance with recruitment is declined.","price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":"Kolonnv\u00e4gen 20","full_address":null,"city":"SOLNA","country":"SE","latitude":59.369689593359,"longitude":18.010552309276},"metadata":{"region":"Stockholms l\u00e4n","duration":"Tills vidare","employer":"Apotek Hj\u00e4rtat AB","postcode":"16971","positions":1,"profession":"Databasutvecklare","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":"Solna","experience_required":true,"employment_type_label":"Tillsvidareanst\u00e4llning (inkl. eventuell provanst\u00e4llning)"},"user_id":null,"is_sponsored":false,"views_count":0,"ai_views_count":4,"bot_views_count":2,"ai_vendor_counts":{"openai":3,"anthropic":1},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":null,"owner_email":"karl.berthen@apotekhjartat.se","images":[],"published_at":"2026-09-11T12:06:20+00:00","expires_at":"2026-09-22T23:59:59+00:00","created_at":"2026-09-12T03:26:58+00:00","updated_at":"2026-09-16T02:58:46+00:00"}}