
Octopus Energy · Milan (IT)
Chi siamo Il sistema energetico funziona meglio quando le persone possono farne parte. In Octopus Energy lo facciamo già ogni giorno: rendiamo l'energia più eq...
Chi siamo
Il sistema energetico funziona meglio quando le persone possono farne parte. In Octopus Energy lo facciamo già ogni giorno: rendiamo l'energia più equa, pulita e accessibile grazie alla tecnologia.
Presenti in Italia dal 2022, siamo partiti da Ascoli Piceno, dove abbiamo la nostra sede. Oggi abbiamo superato un milione di utenze, con un team di oltre 300 persone tra Ascoli Piceno, Milano e Roma, e più di 250 milioni di euro investiti nel Paese. Una crescita nata da un modo diverso di fare energia: più semplice, più umano, più tecnologico.
Come lavoriamo
Non siamo una compagnia tradizionale e non vogliamo diventarlo. Non ci piacciono la burocrazia, le procedure inutili o i reparti che si scaricano i problemi a vicenda. Quando un cliente ha bisogno di aiuto, vogliamo che trovi persone capaci di ascoltare, prendersi la responsabilità e risolvere.
Questo approccio ci ha portati a essere valutati 4,9/5 su Trustpilot, a vincere la classifica Altroconsumo e a ricevere il premio "Miglior Servizio Clienti" del Corriere della Sera.
La tecnologia al servizio di tutti
Qui la tecnologia non è riservata a pochi esperti: è uno strumento che aiuta tutti a lavorare meglio. Non serve essere un mago del computer, ma serve curiosità. Usiamo dati, automazione e intelligenza artificiale per togliere complessità, capire meglio i problemi e dedicare più energia a ciò che conta: migliorare il modo in cui le persone vivono l’energia.
Cosa troverai in Octopus
Octopus è un posto per chi vuole portare energia e buon senso. I problemi non arrivano sempre ordinati, le risposte non sono sempre già scritte e spesso c’è da costruire mentre si corre. Ma non sarai solo: lavorerai con persone curiose, generose e concrete, che si aiutano a vicenda e vogliono lasciare le cose meglio di come le hanno trovate. Stiamo già migliorando il modo in cui l’energia funziona per le persone: se vuoi prenderti responsabilità e contribuire a questo cambiamento, qui il tuo lavoro può avere un impatto vero.
Stiamo cercando una figura di Analytics Engineer che si unisca al nostro Data Team.Il tuo obiettivo concreto è contribuire a creare un'infrastruttura pulita: pensiamo che solo garantendo definizioni accessibili e basi inequivocabili sia possibile far scalare l'azienda rapidamente e permettere al team di gestire le informazioni in totale autonomia. Il tuo lavoro porterà indipendenza, velocità e un supporto proattivo alle esigenze quotidiane.In Octopus crediamo fortemente in un approccio generalista. Il tuo focus principale sarà l'ingegneria dei dati, ma all'occorrenza dovrai saperti muovere su più fronti: potresti dover costruire una dashboard o supportare un’estrazione complessa. Non sarà la tua attività quotidiana, ma questa flessibilità è parte integrante della nostra mentalità.
TL;DR - We are looking for analytics engineers to own the semantic and modeling layer of our warehouse by transforming raw data into well-defined, trustworthy datasets and metrics. You are obsessed with analytical consistency, designing impactful metrics, and building strong foundations for self-service analytics. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we are looking for: Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs) Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc) Understanding of dimensional modeling, data contracts, and metrics/semantical layers Familiarity with modern ELT and orchestration workflows (Airflow, Dagster, Prefect, etc) Strong business acumen and ability to translate domain logic into scalable data structures What you will do: Build and maintain data models, following modular, tested, and version-controlled practices Partner with domain teams to understand business logic and codify it into reusable models and metrics Define and document key metrics and data contracts across domains Collaborate with Data Platform Engineers to optimize query performance and warehouse cost Automate and maintain data documentation, lineage, and governance standards Develop guidelines for analytics development, data modeling and structure conventions Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform) And always on the lookout for what's next! How we hire Fill in a short form then jump on an intro call with recruiter. Complete the general programming exercise. Show us how you approach problems during several technical interviews. Tell us about your most impressive project. 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
Are you a skilled Analytics Engineer with a passion for transforming raw data into high-quality, actionable insights? Join Sweden's largest property portal to design the data solutions that power our business decisions. As the most popular real estate portal in Sweden, Hemnet receives over 40 million visits every month from people looking for their next home. We are a data-heavy organization, and we strive to make data-informed decisions the standard for everything we do. About the role 🍏 As an Analytics Engineer, you will be a key player in our journey to empower the organization to become more data-driven. Sitting within the Analytics team, you will act as a vital bridge between raw data and meaningful business logic. Because this role connects technical infrastructure with business needs, strong communication is essential. By focusing on the "back end" of business intelligence to ensure our data is clean, reliable, and well-modeled, you will play a crucial part in helping Hemnet continuously improve and become better for everyone. What you’ll do 💥 * Build and develop data models, taking responsibility for structuring the data that forms the foundation for analysis, reporting, and future AI solutions. * Conduct analysis and ad-hoc explorations to answer complex business questions, helping stakeholders across Hemnet turn raw data into insights. * Improve our self-service capabilities, enabling more colleagues to find answers independently through robust data architecture. * Occasionally support the development of essential reports and dashboards to ensure data is visualized effectively. Who we think you are 🤩 In order to be successful in this role we believe that you have an educational background with a strong technical focus and a few years of experience working as an Analytics Engineer, Data Analyst or Business Intelligence Developer. As a bridge between technical and business teams, you excel at tailoring your communication and insights for everyone from Sales and Business Development to the leadership group. * Strong SQL and sound judgement in data modelling. * Professional experience with dbt. * Passionate about using your data models to solve real-world business problems alongside your stakeholders. * Experience partnering across departments and strong business acumen. * Excellent written and verbal communication skills in English and Swedish. * Bonus if you have experience in: - Tableau - A semantic or metrics layer - AI-powered self service analytics - Python I am your new manager 👋 My name is Thomas Hanusek. I joined Hemnet about four years ago. Prior to that, I drove analytics for more than 20 years across different companies. My passion at work is really about seeing how Data & analytics can drive product and business development in the best way possible. As a leader, I am a huge fan of seeing how a team can come together and, through their different skills, create magic. My aim is to be supportive and humble, and to create an environment where you feel trusted, challenged, and empowered to grow. A Note on Inclusion 💚 At Hemnet, we believe that diversity in gender, sexual orientation, ability, neurodiversity, cultural background and life experience makes us stronger. We welcome applicants of all identities and backgrounds. If you meet many but not all of the requirements, we encourage you to apply. We value curiosity, a strong sense of purpose and the motivation to learn and grow, alongside your skills and experiences. An Office-First Culture 🙏 Our office in central Stockholm is the true hub of our company culture. We are proudly an office-first team because we deeply value face-to-face collaboration and believe our best work happens when we are together. While we understand the need for occasional flexibility, we strongly prioritize in-person teamwork over remote work. Because our office is the center of our daily operations, it is essential that you are based in or near Stockholm. Please note that we're unable to provide relocation assistance for this opportunity.
Analytics Engineer, Stockholm Bravida is one of the Nordic region's leading installation and service companies covering electrical, HVAC, plumbing, sprinkler, security & fire, and automation across Sweden, Norway, Denmark and Finland with over 12,000 employees and around 300 local branches. Behind that scale sits serious operational complexity: projects, procurement, and finance functions that run on data. We're hiring an experienced Analytics Engineer to own the data models that ties it all together. The Role Data modelling is the core of this job. You'll design and own the semantic layer that makes Bravida's operational and financial data trustworthy, consistent, and accessible for reports today and generative BI tomorrow. AI isn't a side interest here; it's central to how we expect this role to operate and where we're taking our analytics capability. Architect and own data models in dbt on Snowflake as the primary deliverable Define and enforce modelling standards, documentation, and data contracts across domains Build and manage pipelines in Dagster Work with AI tooling actively to accelerate your own output and enable smarter self-service for the business Drive our move toward generative analytics, shaping how business users query and interpret data through natural language Work directly with operations, procurement, and finance to model their domains properly Lead analytics data quality and reliability improvements across the stack The Team The Data & Analytics team sits inside Operational Excellence, a fast-moving function with a mandate to improve how Bravida runs at every level. That means getting out into the business, building relationships with branch managers and project leads across the Nordics, and making data something people actually pull toward rather than have pushed at them. We move quickly, we're visible, and we don't accept "this is how we've always done it." If you need a perfectly quiet environment to do your best work, this probably isn't the right fit. If you thrive on direct feedback, short cycles, and seeing your work land in the real world fast, it is. What You Bring 3+ years as an Analytics Engineer, Data Engineer, or Data Analyst Deep dbt experience; you've built and maintained production-grade models others depend on Strong Snowflake or comparable modern platform experience Solid grasp of dimensional modelling, data contracts, and semantic layer design Active user of AI tools in your workflow and a view on how they change the job Genuine interest in generative BI and what it means for how businesses consume data beyond today Strong stakeholder management; you can hold a room, push back constructively, and get buy-in from people who weren't looking for it You spot problems before they're reported and propose solutions before they're requested You make good calls with incomplete information and don't wait to be told what to build next English required; Nordic languages a bonus What We Offer Ownership of a decision engine that matters at real scale A modern stack (Snowflake, dbt, Dagster) with active investment in AI and generative BI Direct access to senior stakeholders across operations, procurement, and finance A fast team with a real mandate, not a support function waiting for tasks Autonomy on your own career and continuous development The construction and installation industry is going through fundamental change in how projects are run, how decisions get made, and how value gets measured. The civic projects Bravida works on: the hospitals, schools, infrastructure, and buildings that society depends on, they deserve to be built and then operated on better data. We take that responsibility seriously. That's what this role is part of. Process: Intro call with hiring manager, then a practical technical case study followed by meeting the team and discussing the solution. Final step is meeting some of the Operations team and key stakeholders. You must be eligible to work in Sweden and the EU.