Data Engineer – Hybrid, Stockholm När AI-agenter snabbt kan skriva kod och sätta upp pipelines, blir det mänskliga hantverket med djup förståelse för datamodellering, kvalitet och säkerhet viktigare än någonsin – allt det som krävs för att data ska kunna omvandlas till affärsnytta. Vem är du? Vi söker dig som har minst fem års erfarenhet som data engineer eller backendutvecklare efter avslutad examen och som vill fortsätta utvecklas inom dataområdet. Vi tror att du har en ingenjörsutbildning eller en examen inom data- eller systemvetenskap. Kanske har du glömt en del av kurserna, men du minns tydligt att programmering och att utforska data var det roligaste under studietiden. För att trivas hos oss tror vi att du: Är kvalitetsmedveten: Du vet att analys och AI-modeller aldrig blir bättre än kvaliteten på den data de bygger på. Du förstår att AI kan producera kod snabbt, men att det krävs kunskap för att avgöra om koden är säker, skalbar och förvaltningsbar. Du är filtret mot ‘slop’. Har teknisk bredd: Du känner dig trygg i språk som Python och SQL. Du har byggt data pipelines, kanske har du redan arbetat med plattformar som Microsoft Fabric, Databricks eller open source-verktyg som Apache Spark och dbt, eller är nyfiken på att fördjupa dina kunskaper inom dessa. Är nyfiken på AI: Du ser moderna “coding agents” som verktyg för att jobba smartare, inte som en ersättning för ditt eget tänkande. Om du dessutom har implementerat MCP-servrar eller RAG-lösningar är det en bonus. Värdesätter lärande: Du delar kunskap lika självklart som man delar en kaffe. Uppdraget? Vi bygger stabilt och långsiktigt. Vi jagar inte kortsiktigt sälj, utan arbetar utifrån kundens faktiska behov. Som konsult får du ansvar och frihet. Du kommer att arbeta i uppdrag där vi ligger i framkant, men där din uppgift är att säkerställa verklig nytta och teknisk höjd. Du blir bryggan mellan teknik och hållbara system. Vad vi erbjuder Detta är en chans att vara med och påverka kulturen i ett tidigt skede, utan osäkerheten som ofta finns i startups. Trygghet i ryggen: Grundarna är erfarna bolagsbyggare, tekniska ledare och säljare. Vi vet hur man säkrar rätt uppdrag och bygger stabila team. Marknadsmässiga villkor: Vi erbjuder en trygg anställning med konkurrenskraftig lön, pension och förmåner. Mänskligt fokus: En miljö fri från onödiga armbågar, där vi bevisar att framtidens techbolag kan vara både smarta och mänskliga. Utveckling: Möjligheten att definiera vad rollen som konsult innebär när AI skriver grovskissen, men du står för finliret. Intervjuer sker löpande — skicka gärna din ansökan så snart som möjligt. Du blir anställd direkt av företaget. Du får veta vilket företag det gäller när du är i kontakt med rekryteraren. Bumbli Group är inte arbetsgivaren utan rekryteringspartner. Välkommen med din ansökan! Bumbli Group är en del av House of Recruitment — en personlig, traditionell och kvalitetsdriven rekryteringsbyrå i Göteborg.

Har du erfarenhet av embeddedutveckling i C och trivs i en miljö där kvalitet, spårbarhet och dokumentation står i centrum? Vill du utveckla säkerhetskritiska system där varje tekniskt beslut behöver vara genomtänkt och väl dokumenterat? Då kan detta vara rollen för dig! Om tjänsten Som embeddedutvecklare blir du en del av ett växande team som utvecklar mjukvara för inbyggda system i avancerade produkter. Utvecklingen du arbetar med är för säkerhetskritiska system med höga krav på tillförlitlighet, kvalitet och spårbarhet. Du arbetar med programmering i C och följer utvecklingen genom hela processen, från krav och implementation till verifiering och dokumentation. Dokumentationen utgör en stor del av arbetet, eftersom varje lösning och kodförändring behöver kunna motiveras och följas upp. Rollen passar därför dig som uppskattar strukturerade utvecklingsprocesser och förstår varför dokumentationen är lika viktig som själva koden. Teamet består i dag av cirka 13 personer och fortsätter att växa. Du samarbetar nära andra utvecklare, deltar aktivt i tekniska diskussioner och bidrar med egna idéer samtidigt som du är lyhörd för andras perspektiv. Arbetsuppgifter: Utveckla mjukvara för inbyggda och säkerhetskritiska system Programmera och felsöka i C Arbeta utifrån krav, standarder och strukturerade utvecklingsprocesser Dokumentera kod, tekniska beslut och genomförda förändringar Delta i verifiering, granskningar och kvalitetssäkring Samarbeta med andra utvecklare och teknikområden Bidra med idéer, erfarenheter och förbättringsförslag i teamet Vi söker dig som Har en högskole- eller civilingenjörsutbildning inom data, inbyggda system eller annat relevant område Har arbetslivserfarenhet av embeddedutveckling eller utveckling av inbyggda system Erfarenhet av utveckling i säkerhetskritisk verksamhet så som exempelvis flyg-, fordons-, försvars- eller medicinteknisk industri Har goda kunskaper i C Är van vid eller motiverad att arbeta i en dokumentationstung och kvalitetssäkrad utvecklingsmiljö Har mycket goda kunskaper i engelska, både i tal och skrift, eftersom språket används i arbetet. Goda kunskaper i svenska är starkt meriterande Kan arbeta strukturerat och följa fastställda processer och krav I rekryteringen läggs även stor vikt vid personlig lämplighet. För att trivas i rollen tror vi att du är noggrann, ansvarstagande och kvalitetsmedveten. Du vågar presentera dina idéer och resonera kring tekniska lösningar, samtidigt som du är lyhörd och öppen för andras perspektiv. Vi ser också att du är en lagspelare som uppskattar föränderliga team och bidrar till ett konstruktivt samarbete. Om anställningen Denna befattning kräver att du genomgår och blir godkänd vid var tids gällande bestämmelser för säkerhetsskydd. För befattningar där vår kund har krav på säkerhetsklassplacering kan, i förekommande fall, medföra krav på visst medborgarskap. Detta är ett konsultuppdrag, vilket innebär att du kommer att vara anställd av Friday och arbeta som konsult hos vår kund. Övrig information Omfattning: Heltid Start: Enligt överenskommelse Placering: Jönköping eller Linköping Lön: Marknadsmässig månadslön Rekryteringsansvarig: Viktoria Ringebrant Ansök genom att klicka på länken nedan. Kom ihåg att vara snabb med din ansökan då vi gör löpande urval av kandidater och annonsen kan stängas innan tjänsten är tillsatt om vi har gått vidare till urvals- och intervjufasen. Vi tar inte emot ansökningar via mejl. Om Friday På Friday brinner vi för att hjälpa dig att ta nästa steg i din karriär inom IT och teknik, oavsett om du söker ditt första jobb eller redan har några års erfarenhet. Genom att lyssna på vad just du vill och drivs av matchar vi dig med företag och möjligheter som får dig att se fram emot att gå till jobbet. Vi värderar ambition och potential högt och arbetar aktivt för en fördomsfri rekrytering, där alla ges samma chans att lyckas. Vi finns i Stockholm, Göteborg, Malmö, Linköping och Örebro. Varje år genomför vi över 5 000 karriärmöten och matchar kandidater med allt från globala företag till innovativa startups. Sökord: Embeddedutvecklare, embedded software developer, embedded C, C-programmering, inbyggda system, realtidssystem, säkerhetskritisk mjukvara, safety critical software, verifiering, kravhantering, mjukvarudokumentation, fordonsindustri, flygindustri, medicinteknik, Jönköping

Newsec – the Full Service Property House in Northern Europe – offers property owners, investors, and tenants a broad range of services in Property Asset Management and Advisory. The company was founded in 1994 and is now partner-owned, with approximately 2,000 employees across all seven Nordic and Baltic countries. Newsec has approximately SEK 600 billion in assets under management, signs leases covering approximately 1,000,000 square metres annually, completes transactions worth approximately SEK 50 billion, and values properties with an underlying value of approximately SEK 1,750 billion. We strive to build a strong sense of team spirit and are proud to have high employee satisfaction and a workforce comprising both experienced experts and young talent. In the annual independent employee survey “Great Place to Work,” Newsec has been ranked as one of Sweden’s best workplaces since 2010. www.newsec.se About the Role Would you like to help shape a modern Nordic data platform at a company making a major investment in data and analytics? As a Data Engineer at Newsec, you will play an active role in building and managing our enterprise-wide data platform, powered by Microsoft Fabric and the Azure ecosystem. This role is ideal for a junior to mid-level engineer looking to grow alongside an experienced team while working with cutting-edge Lakehouse technology. Working closely with Data Architects, BI Developers, and business stakeholders, you will build reliable, scalable data flows supporting analytics, self-service BI, and data-driven services across the Nordics and Baltics. Your Key Responsibilities: Design, develop, and deploy data pipelines (ETL/ELT) and data models in Microsoft Fabric (Data Factory, Lakehouse, Warehouse). Perform SQL-based development, continuous optimization, quality assurance, and monitoring of data pipelines. Enable self-service BI and analytical workloads through clean, well-structured data foundation layers. Collaborate on shared engineering practices: documentation, code reviews, version control, and platform security. Depending on your experience, you will own clearly defined deliverables or larger components of the platform, with structured mentorship from senior colleagues. Your Skills and Experience To succeed in this role, you have a relevant academic background (e.g., Computer Science, Data Engineering, Information Systems) or equivalent practical experience. You possess a solid foundation in data engineering concepts and are eager to work with modern SaaS data platforms. We are looking for: Core Engineering Foundation: Good proficiency in SQL and a strong understanding of relational database principles, data modeling (e.g., dimensional modeling), and data integration (ETL/ELT). Modern Platform Familiarity: Hands-on experience or genuine project exposure to Microsoft Fabric (Data Factory, Lakehouse, Warehouse) or modern cloud data stacks (e.g., Azure Data Factory, Synapse, Power BI, Databricks). Development Practices: Understanding version control (Git), automated workflows/CI-CD basics, and core data quality principles. Programming Exposure: Familiarity with Python or PySpark for data transformation and scripting is a plus. Communication: Fluency in English (written and spoken) is required; proficiency in Swedish or another Nordic language is a strong advantage. The role can be tailored to your level of experience—whether you have gained these skills through university projects, internships, or 1–3 years of hands-on professional experience. Personal Qualities Curious & Eager to Learn: You enjoy exploring new technologies (especially inside the rapidly evolving Microsoft Fabric ecosystem) and continuously refining your technical toolkit. Structured & Quality-Focused: You take pride in writing clean SQL/code, building reliable data flows, and documenting your work for team maintainability. Collaborative Communicator: You enjoy working in a team environment, actively sharing knowledge, asking for guidance when needed, and communicating technical ideas clearly to both peers and non-technical stakeholders. Proactive Problem-Solver: You take ownership of your assignments, troubleshoot logically, and look for practical ways to improve platform performance and data quality. Please feel free to contact Nilesh Agrawal at [email protected] or +46790621280 if you have any questions about the role. Interviews will be conducted on an ongoing basis, so please submit your application as soon as possible!

As a market-leading credit management company, Intrum has a broad competence in debt collection services, and we do business in 20 countries in Europe. We have more than 10,000 experienced employees in our group. Our business is about helping others. Helping indebted individuals to get out of difficult situations. Helping businesses get paid so they can grow, hire and prosper. Which in turn is positive for the entire economy. You become an essential part of this circle with us, which gives your job at Intrum a deeper meaning. Regardless of your role or title. Being at the forefront is everyone's job. As the market leader, it is up to us to be at the forefront. Shaping the industry. Setting new standards. And wherever in the world your Intrum career path takes you, whatever role you play, you will contribute to growth, innovation and impact that makes a real difference. To have the opportunity to grow. In our organization there are many opportunities to advance, specialize and rotate. Or even try your wings abroad. It's up to you to make it happen. The fact that our business is about helping others – individuals and companies, means that your work also develops on a more personal level. Simply put, you will grow by making a difference. The role We are looking for a Senior AI Engineer to design, build and operate AI solutions using text, voice and conversational interfaces. You will collaborate with colleagues across product, data, operations, sales, customer interaction, risk and compliance to deliver secure, reliable and useful AI solutions. The role will report to Head of Data, AI, & Automation. Location for this position is Stockholm (Sickla) Hybrid work. We see that hybrid work, where we as employees can work either from home or from the office, creates opportunities to perform and work effectively in virtual and real environments. Purpose of role Build reliable and scalable AI solutions that improve customer interactions, support employees and automate business processes. Turn emerging AI capabilities into production-ready services that are secure, measurable and easy to integrate with existing platforms. Design and build AI applications using text, voice and conversational interfaces. Develop agentic AI solutions that interact with data, tools and business systems. Integrate AI services with platforms such as Genesys, ElevenLabs or similar technologies. Build solutions using advanced AI models provided through APIs. Ensure strong performance for Swedish text, speech and audio. Take AI solutions from prototype to production, including testing, deployment and monitoring. Evaluate solution quality, reliability, response time and cost. Improve solutions based on user feedback and operational results. Apply security, data protection and responsible AI practices. Document technical solutions and support knowledge sharing across teams. Work with business and technology teams to identify and deliver valuable AI use cases. Your Background You have a degree, or equivalent experience, in computer science, engineering, data science, AI or a related field. We believe you also have: Experience building and operating AI-enabled applications. Strong programming skills, preferably in Python. Experience working with advanced AI models through APIs. Experience with text, speech, audio or conversational AI, preferably in Swedish. Experience building agentic AI solutions that interact with tools, data and business systems. Experience across the AI development lifecycle, including testing, deployment and monitoring. Experience integrating with communication, contact-centre or voice platforms such as Genesys, ElevenLabs or similar. Understanding of APIs, cloud platforms and modern software engineering practices. Awareness of security, data protection and responsible AI. Good communication and collaboration skills. Experience from financial services, customer service or another regulated industry is an advantage, but not essential. Who are you We at Intrum want to contribute to an inclusive and diverse working life. We accept our differences and know that this is a strength. We know that we are all a resource for society, regardless of age, functional ability, gender, religion, ethnicity or sexual orientation. Therefore, we encourage everyone to apply for a job with us. Come as you are. You act according to our values. Our values ​​are not words. They are everything. Behind our global expansion and major digital transformation are four simple but powerful values. Ethics. Devotion. Solutions. Empathy. It is the value that drive our everyday life, regardless of how big we become. Others may think they are small things. But for us, they are everything. Only applications received through our online system will be considered.

Vill du arbeta med AI och mjukvaruutveckling i framkant och samtidigt bidra till vårt totalförsvar? Som Senior AI Engineer på Combitech i Skövde blir du en del av vårt AI-team och arbetar i olika kundprojekt som expert inom AI och mjukvaruutveckling. Här får du möjlighet att utveckla lösningar inom bland annat generativ AI, LLM, RAG och maskininlärning, samtidigt som du får möjlighet att utvecklas inom ditt eget intresseområde. Din roll som AI Engineer I den här rollen får du möjlighet att: Arbeta nära våra kunder med att utveckla skräddarsydda AI-lösningar och bidra till både deras och vår egen utveckling. Stödja företag i utvecklingen mot en mer datadriven och intelligent organisation genom att vägleda och implementera framtidens lösningar. Designa, implementera och införa avancerade AI-lösningar baserade på exempelvis LLM, RAG, MCP och maskininlärning. Sätta upp AI-agenter och flöden för automatisering. Analysera och tolka data för att identifiera värdefulla insikter som gynnar våra kunder. Tillämpa CI/CD, Git och DevOps/MLOps-praktiker för kontinuerliga leveranser av hög kvalitet. Utforska och utvärdera avancerad hårdvara för att ligga i teknisk framkant och stärka våra AI-lösningar. Växla mellan olika uppdrag och tekniker utifrån ditt intresse och kundernas behov. Vi söker dig som Har en kandidat- eller masterexamen inom relevant område. Har minst fem års erfarenhet som Data Scientist, AI Developer eller i en liknande roll med tillämpad AI-kunskap i komplexa system. Har goda kunskaper i Python eller liknande språk samt erfarenhet av Docker, containers, Kubernetes, Git, Linux och virtualisering. Har en god analytisk förmåga och är kvalitetsmedveten med ambitionen att leverera lösningar av hög kvalitet. Har förmåga att tänka kreativt och hitta innovativa lösningar på tekniska utmaningar. Trivs med att ta initiativ och arbeta självständigt samtidigt som du samarbetar effektivt i team. Då tjänsten innebär arbete som omfattas av försvarssekretess krävs det att du genomför och godkänns i en säkerhetsprövning med registerkontroll. Urval sker löpande. Vi ser fram emot din ansökan! Kom & gör skillnad På Combitech har vi ett löfte: vi investerar i våra medarbetare. Våra kunder förväntar sig att vi ska ligga i absolut framkant och kunna lösa även de svåraste problemen, därför behöver vi ständigt utvecklas, som företag, som team, och som individer. Hos oss har du möjlighet att göra karriär och utmana dig själv som ledare, men också fördjupa din expertis och din domänkunskap. Vi brukar säga att här kan du byta jobb utan att byta arbetsgivare. Du kan arbeta med en mängd olika sektorer, branscher, tekniker, uppdragsgivare och projekt. Vill du veta mer om hur det är att arbeta hos oss? Kolla in våra karriärsidor! Kontaktperson: Fannie Svan - fannie.svan (@) combitech.com Vi undanber oss rekryteringssamarbeten.

Vår kund bygger framtidens dataplattformar. Här får du arbeta med den absolut senaste tekniken i Microsoft Fabric och driva innovativa projekt tillsammans med ett högkompetent team. Om tjänsten Som Data Engineer fokuserar du på att skapa värde genom moderna dataarkitekturer i Microsoft Fabric. Du arbetar i avancerade miljöer nära både kunder och specialister för att bygga robusta lösningar som möjliggör datadrivna beslut. Tillsammans med BI-utvecklare och arkitekter formar du framtidens dataplattformar. Du erbjuds en plats i ett högkompetent team där du arbetar med den senaste tekniken och spännande kunduppdrag. Du får stora möjligheter till kompetensutveckling, kunskapsdelning samt chansen att påverka tekniska lösningar och arbetssätt i en miljö där egna initiativ uppmuntras. Arbetsuppgifter Rollen innebär tekniskt ansvar för att bygga och underhålla moderna dataplattformar med fokus på Microsofts ekosystem, från rådata till färdiga analysunderlag. Utveckla och vidareutveckla datalösningar i Microsoft Fabric Bygga och optimera datapipelines, Lakehouses och Dataflow Gen2 Integrera olika datakällor och utveckla effektiva dataflöden Arbeta med Spark, SQL, DAX, notebooks och ETL-flöden Utveckla end-to-end-lösningar från datainsamling till analys och rapportering Delta i arkitektur- och designbeslut för dataplattformar Samarbeta med BI-utvecklare, analytiker och lösningsarkitekter Vi söker dig som Minst tre års erfarenhet av Data engineering eller utveckling av dataplattformar Avancerad kunskap inom Microsoft Azure Data Platform, inklusive Databricks (PySpark) och ADLS God förståelse för Microsoft Fabric, Azure Synapse Analytics och Power BI Starka utvecklingsfärdigheter inom SQL och Python Erfarenhet av att utveckla enterprise ETL/ELT-pipelines samt datamodellering Erfarenhet av CI/CD, Git, DevOps samt Infrastructure as Code Mycket goda kunskaper i svenska och engelska i både tal och skrift Det är meriterande om du har Certifieringar såsom DP-600 (Fabric Analytics Engineer), Azure Data Engineer eller Power BI Analyst Erfarenhet av ERP-integrationer, till exempel Microsoft Dynamics 365 F&O eller SAP S/4HANA Kunskap inom strömmande teknologier och händelsestyrda arkitekturer Erfarenhet av Docker, Kubernetes eller molnbaserade applikationsarkitekturer För att lyckas i rollen har du följande personliga egenskaper: Hjälpsam Målmedveten Ansvarstagande Intellektuellt nyfiken Vår rekryteringsprocess Denna rekryteringsprocess hanteras av Academic Work och vår kunds önskemål är att alla frågor rörande tjänsten skickas till Academic Work. Vi tillämpar löpande urval och kommer plocka ner annonsen när tillräckligt många kandidater har nått slutskedet i rekryteringsprocessen. Vid ansökan efterfrågas ett CV. Personligt brev använder vi inte som urvalsmetod och behöver därför inte bifogas. Rekryteringsprocessen innehåller två urvalstest: ett personlighetstest och ett test i kognitiv förmåga. Testerna är ett verktyg för att kunna hitta den kandidat med högst potential för tjänsten samt främja jämlikhet, mångfald och en rättvis rekryteringsprocess.

About Kitron Kitron is a leading Scandinavian Electronics Manufacturing Services (EMS) company, delivering improved flexibility, cost efficiency, and innovation power through the value chain. The company has operations in Norway, Sweden, Denmark, Lithuania, Germany, Poland, the Czech Republic, India, China, Malaysia and the United States. With 2500 highly skilled employees, Kitron manufactures and delivers anything from fully assembled electronic circuit boards to complete end - products for customers globally. Related technical services like prototyping, industrialisation, material analysing and test development are also key competencies offered by Kitron. Our values Location: Jönköping, Torsvik Deadline: 2026-11-01 Service Desk Lead Ready to shape the future of IT Service Management in a global technology company? At Kitron, we are modernizing our IT landscape to create smarter, more secure, and user-friendly services that support business growth. We are looking for a proactive and strategic Service Desk Lead to drive the development, governance, and continuous improvement of our IT Service Management platform and processes. In this role, you will act as the bridge between the business, IT partners, and service providers, ensuring high-quality service delivery, strong governance, and an excellent user experience across the organization. Global standardization and adoption What you'll do Lead and develop Kitron's ITSM framework, processes, and platform Drive continuous improvement of Service Desk services and end-user experience Collaborate closely with business functions such as HR, Finance, Engineering, Planning, and Purchasing Establish and follow up on SLAs, KPIs, reporting, and service performance Support automation initiatives, workflow improvements, and AI-driven solutions Ensure ITSM compliance with security and governance requirements Manage vendor relationships and coordinate service improvements across internal and external teams Platform ownership, integrations and upgrades Global standardization and adoption Security and compliance standards Data-driven problem reduction What we're looking for 3+ years of experience leading a Service Desk or IT Service Management function Strong understanding of ITSM and ITIL best practices (certification is a plus) Excellent communication and stakeholder management skills Experience working with service providers and cross-functional teams Professional proficiency in English Why join Kitron? You will play a key role in shaping how IT services are delivered across an international organization. You'll work closely with experienced IT specialists, business leaders, and external partners while driving meaningful improvements that create real business value. Additional Information Some travel may be required. As part of our recruitment process, candidates advancing to the final stages will be required to complete a background check and security clearance assessment. Interested? We look forward to hearing how you can help us build the next generation of IT service excellence at Kitron. For more information about the position, please contact Ruben Hansen, IT Manager ASA, at [email protected].

TL;DR: We are looking for a senior engineer with deep marketing knowledge to join Applied AI, the team that rebuilds how Lovable operates as a company. You will work embedded with Marketing and build the AI systems, data, and agents that its teams run on. You will ship production software yourself, on Lovable, with the Applied AI engineers. Why Lovable? Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started. We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world. Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software. What we're looking for 6+ years building and shipping production software or data systems that people depend on. Recent hands-on work in TypeScript, Python, or SQL. Deep marketing knowledge from a marketing organization, a MarTech company, or a product or data role serving marketing teams. You know how paid and social channels, attribution, CRM, content, and positioning work in practice and where they break. Experience integrating marketing systems: ad platforms, analytics, CRM or CDP, and content tools. You know their APIs and data well enough to build on them. Experience building with LLMs: agents, evaluation, and the judgment to know where a rule-based system does the job better. You can test the quality of model output and make it reliable enough for daily use. Strong product judgment. You start from the problem, choose priorities with the people affected, and improve a system through use and feedback. Senior stakeholder skills. You work directly with the CMO and Marketing leads, form your own view, and disagree in writing with a better path attached. Care for permissions and data handling. Marketing systems touch customer data and spend. You treat access control as a design requirement from day one. Comfort building on a high-level platform. We build our internal systems on Lovable itself. Bespoke infrastructure needs a written reason. What you'll do Run a listening tour with Marketing. Map current work, systems, data sources, owners, and the places where expert judgment lives. Propose builds only after that. Agree each project with Marketing leadership up front: the problem, the metric, the owner, and the definition of done. Connect the context a launch depends on: Linear tickets, internal docs, Slack threads, competitive intel, and usage data. When the scope changes, the change propagates to every asset that mentions it. Build agents and workflows for Performance and Social: creative variants, campaign setup, and quality checks against brand guidance, with human review where spend or brand is at stake. Encode Brand and Product Marketing judgment into systems: positioning, messaging, and voice guidance that other teams and agents apply without a meeting. Connect Marketing's systems to the shared company data layer so agents and workflows can act on trusted data. Build on the shared Applied AI foundation and contribute back. Reuse company data contracts, permissions, and agent patterns. Extract what Marketing needs into reusable pieces. Launch every system with a named owner, a runbook, access rules, and a review cadence. Teach the Marketing team to operate it without you. Measure results with Marketing and use them to decide what to improve, extend, or retire. Bring concrete product gaps from internal use to Lovable's product teams. How the role fits You report into Applied AI and spend most of your time with Marketing. Marketing leadership sets the priorities and owns the results. You agree with them on what to build, how to measure it, and who owns each system once it runs. Applied AI owns the shared foundations you build on: company data contracts, permissions, the information architecture and reusable agent patterns. You work day to day with the Applied AI engineers and with colleagues embedded in Sales, Finance, People, and Support. A capability you build for Marketing often becomes a building block for another function, and the reverse is true too. Our tech stack We build with tools that both humans and AI love. Platform: Lovable itself, Supabase (PostgreSQL), Cloudflare Languages: TypeScript, Python, SQL, Go AI: Anthropic, OpenAI, MCP, AI agents Data: BigQuery Marketing systems: the ad platforms, analytics, and CRM tools Marketing already uses About your application Please submit your application in English. It's our company language, so you'll be speaking lots of it if you join. We treat all candidates equally - if you're interested, please apply through our careers portal.

TL;DR — You'll make sure no one at Lovable spends time on anything AI can do. We're defining how AI-native companies operate internally, across Product, GTM, and G&A. You'll own the systems that let a 300-person team move like a 3,000-person company: workflow automations, internal AI tools, data enrichment pipelines. You'll use Lovable itself to build much of this. This role is part of Project Automate Lovable, working closely with our AI Operations & Automation function and FBOS team. Why Lovable? Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started. We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world. Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software. What we’re looking for Shipped production automations at a company: You've built workflow systems at scale that ran without you. Actual business-critical automations used by teams. Engineering brain, modern toolkit: You understand how systems actually work (APIs, databases, architecture) and can review code confidently. You move fast by choosing the right tool for the job: AI agents (Cursor, Claude Code etc) when they're faster, no-code (Lovable itself, n8n, Clay, etc.) when it fits, raw code when it's needed. Data is part of your building material: You can turn fragmented data across tools, databases, and external sources into reliable, usable systems. You’re comfortable designing data models, writing complex SQL, building enrichment and transformation pipelines, and creating the feedback loops that keep data trustworthy over time. AI tool obsessed: You're always testing the latest models, apps, and workflows before anyone else. You've deployed internal AI tools (Claude/ChatGPT with custom contexts, AI agents, MCPs, etc.) at a company and you're constantly experimenting with new ones. Can't unsee inefficiency: You see the whole company as one machine. Once you spot a broken process, you can't leave it alone. High agency: You don't wait for permission. You find the bottleneck, build the fix, and ship it. What you’ll do Own internal AI systems that make Lovable run faster than it should. Define how AI-native companies operate: Help build the playbook. What we learn here scales to every company using Lovable. Build internal tools and workflows: Using Lovable, AI agents, no-code, raw code—whatever gets the job done fastest. Lovable on Lovable first, always. Turn company data into operational leverage: Connect and enrich data across our stack, then put it directly to work, powering automations, internal tools, AI agents, decision-making, and proactive workflows across Finance, Business Operations, Legal, etc. Deploy AI agent armies: Claude/ChatGPT with MCPs configured so every teammate has AI working for them, not the other way around. Squeeze value from our stack: Make the AI features in Slack, Linear, Notion, Ashby, etc. actually deliver. Level up the team: Turn everyone at Lovable into AI power users. Document what works. Scale it. Own it end-to-end: You build it, you maintain it, you improve it. About your application Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested, please apply through our careers portal.

We are looking for a senior Data Engineer on behalf of our client, a global leader in the home furnishing retail industry. They are establishing digital products that provide performance insights for customer meeting points and franchisees. The products consolidate data from multiple business systems into trusted, scalable and automated data products that support performance management, business decision-making, continuous improvement and strategic planning. About the assignment As data engineer in the team, you design, build and maintain automated, scalable data solutions for two performance evaluation products, one for customer meeting points and one for franchisees, stretching across all of the client's franchisees. The goal is to transform today's manual, fragmented reporting into a reliable and centralized analytics ecosystem, giving leadership and management teams consistent, trustworthy metrics for trend analysis and continuous improvement. Responsibilities Design, build and maintain automated, scalable data solutions for the performance evaluation products Create the data foundation that enables reporting, analytics, governance and future scalability Connect data from multiple sources into a unified performance evaluation framework covering multiple criteria Ensure accuracy, data validation, version control and auditability We are looking for you who Are a senior data engineer with: Proven experience designing and implementing end-to-end data pipelines, batch and streaming, including ingestion, transformation and serving layers, using best practices in data modelling and lakehouse architecture Hands-on expertise with Databricks, including Apache Spark, Delta Lake, job orchestration, performance tuning and environment management Strong knowledge of Microsoft Azure, particularly services commonly used in data platforms such as Azure Data Lake Storage Solid experience with DevOps practices, including source control (e.g. Git), CI/CD pipelines, automated testing, environment promotion and infrastructure as code for data platfor How you work Comfortable working in the early phases of solution design and contributing throughout the full data engineering lifecycle: ideation, high and low level architecture, requirements specification, functional and technical design, estimation, sprint planning, development, testing, documentation, deployment and operational follow-up Strong understanding of data engineering guidelines, release processes and quality expectations, including data validation, performance optimization, monitoring and troubleshooting in production environments Focused on building clean, scalable, resilient and cost-efficient data solutions using cloud native architectures and modern data platforms, with maintainability and reusability in mind Strong communication skills, with the ability to clearly explain data architectures, pipelines and trade-offs to non-technical stakeholders Practical details Start: 2026-11-01 End: 2027-11-01, with possibility of extension Workload: 100 % Location: Malmö, on site (no remote work) How to apply Send your updated CV in Word format together with a short motivation. Describe why you are the right fit for this assignment, referring to previous consulting assignments, employments, education and personal qualities that are relevant. About the assignment For this assignment you will be hired as a full-time consultant by Digitalenta. We offer our consultants a generous package including healthcare allowance, insurance policy, paid vacation days and pension savings. In addition, you'll also have a dedicated consultant manager available throughout your employment with us, in addition to optional networking activities with our network of consultants.