Remote Dev Jobs
23 jobs available
Harnham - Data & Analytics Recruitment · 🇬🇧 Birmingham, United KingdomRemote2w ago
Senior Analytics Consultant (Google Cloud, BigQuery, dbt & Looker) 70,000- 90,000 + Quarterly Bonus + Commission Fully Remote (UK) | Quarterly Brighton Meetups I'm hiring a Senior Analytics Consultant for one of the UK's leading specialist modern data consultancies. This is an opportunity to join a highly respected consultancy focused exclusively on the modern data stack, helping organisations build scalable analytics platforms, semantic lay...
InstacartRemote1mo ago
Headquarters: United States - Remote We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Commercial Scaled Intelligence (CSI) team is an AI-first team dedicated to delivering actionable commercial insights and scalable automation to drive revenue growth and operational efficiency across the company. The team focuses on intelligence generation, predictive analytics, and workflow automation to enable data-driven decision-making and optimize commercial performance. As an Ads AI Analytics Lead II, you will own the intelligence behind our Ads agents. You will design the Ads semantic/context layer and build vertical AI agents that analyze campaigns, diagnose performance, and recommend actions that improve ROAS, pacing, and partner outcomes. You will partner with Ads GTM, Product, Data Science, and Engineering to ship production agents with measurable lift. About the Job Define Ads ontologies and metrics for c
AzumoRemote1mo ago
Headquarters: Buenos Aires, Argentina URL: http://azumo.com Description Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America . This role will focus on building scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across gaming ecosystem. The ideal candidate has strong hands-on experience with Databricks , DBT , AWS , scalable ETL pipelines, data governance, and modern analytics engineering practices. Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred. Requirements The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential. Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS Improve ingestion pipeline quality, reliability, scalability, and governance Develop and optimize core data models and foundational data tables Build analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reporting Implement data governance, data quality, lineage, and observability practices Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making Optimize large-scale data processing workflows for performance and cost efficiency Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics Contribute to the unification of fragmented data ecosystems across multiple game teams and organizations Build and maintain reliable orchestration workflows and scheduling systems Participate in architectural discussions around scalability, governance, and data platform modernization Required Skills: Strong experience with Databricks Strong SQL and Python programming exp
caronsale · 🇩🇪 Berlin, GermanyRemote57y ago
<h1>Senior Machine Learning Engineer (m/w/d)</h1> <p>Four models in production today. Fifteen to twenty by mid-2027. The shared pipeline that gets them there has to hold — and you own everything after handoff: packaging, deployment, drift detection, and the call on whether a model is fit to serve.</p> <p><strong>Location:</strong> Berlin Schöneberg — you work from our office, hybrid with 3 days office and 2 days home office.</p> <h3>About us</h3> <p>CarOnSale is the AI-powered platform for B2B used car trading in Europe. Over 40,000 buyers from more than 20 countries trade on our platform — and 85% of inventory is exclusive to us. We connect software, pricing intelligence, logistics and financing in one layer — as the operating system for an entire industry.</p> <p><em><strong>One Platform. One Profit Engine.</strong></em></p> <h3>The platform you build in</h3> <p>Our machine learning runs on one shared, central platform — not a separate pipeline per model. Five canonical stages: data extraction, validation, transformation, training and evaluation. A Snowflake data warehouse feeds a SageMaker managed feature store, and models reach production through governed CI/CD promotion lanes on Terraform-managed AWS infrastructure. Your job is to build inside it and make it stronger, so the next model costs less to ship than the last one.</p> <h3>Your responsibilities</h3> <ul> <li>You own models from handoff through to production: packaging, deployment, monitoring, and the decision on whether a model is ready to serve</li> <li>You keep production models reliable — drift detection, performance monitoring, alerting and incident response when something moves</li> <li>You own the serving and inference path: fitted pipeline artifacts, inference entry points, monitoring hooks and feature-store parity</li> <li>You review model design and evaluation methodology before anything ships, and catch data leakage, backward-window errors and weak evaluation during development, while they are
Lendable · 🇬🇧 London, United KingdomRemote57y ago
About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: One of the UK’s newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance . We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're looking for an analytics engineer to contribute to the analytical foundation of the UK Cards team, a growing area of the business. You’ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company. The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability. You'll contribute to the modelling layer, help improve how the business work wi
Pleo · 🇬🇧 United KingdomRemote57y ago
About Pleo Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’. The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years. Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together. About the role Pleo's Intelligence function covers the full analytical picture - product behaviour, GTM performance, commercial data science, financial reporting, and operational intelligence. The Analytics Engineers who serve these teams own the data modelling layer that all of it runs on: dbt models, metric definitions, and semantic layer contributions that analysts, product teams, and AI tools depend on to get consistent, trustworthy answers. You'll be embedded in the Product Intelligence team, building the tracking, experimentation, and data modelling foundations that make product data trustworthy and self-serve. You'll join a close-knit team actively migrating our analytics stack onto a new Analytics Warehouse and Omni, moving off legacy tools like Looker and Hippocampus. If you want to build the infrastructure that other p
Eraneos · 🇩🇪 Hamburg, GermanyRemote57y ago
Das findest Du bei uns Wir sind ein technisches, umsetzungsorientiertes Spin-Off einer global agierenden Managementberatung. Zu unseren Kunden gehören primär DAX und Fortune Global 500 Unternehmen, die wir zu Fragen in den Bereichen Analytics, Big Data und Machine Learning beraten. Wir übernehmen in der Gruppe die Entwicklung von individuellen und datengetriebenen Lösungen, um so unsere Kunden in KI-gestützte Unternehmen zu transformieren. Wir bieten ein internationales Arbeitsumfeld mit agilen Teams und kreativen Startup-Methoden sowie eine überdurchschnittliche Vergütung und zahlreiche Zusatzleistungen. Mit unserem HQ in Hamburg, weiteren Büros in München und Düsseldorf sowie unseren Hub-Standorten in allen weiteren deutschen Großstädten (Köln, Berlin, Frankfurt und Stuttgart) stellen wir sicher, dass alle Kollegen deutschlandweit in unser Expertenteam eingebunden sind. Als Senior Analytics Engineer übernimmst Du eine zentrale Rolle in der Konzeption und Umsetzung moderner Analytics-Lösungen. Gemeinsam mit unseren Kund:innen entwickelst Du skalierbare Datenmodelle und Analytics-Architekturen, die eine verlässliche Grundlage für Reporting, Self-Service Analytics und datengetriebene Entscheidungen schaffen. Du konzipierst, entwickelst und verantwortest analytische Datenmodelle auf modernen Data Warehouses und Data Lakehouses und stellst deren Qualität, Performance und nachhaltige Weiterentwicklung sicher. Du entwickelst robuste Datentransformationsprozesse mit dbt und etablierst Best Practices für Testing, Dokumentation, Versionierung und Deployment. Du entwirfst skalierbare analytische Datenmodelle auf Basis etablierter Modellierungsansätze wie Kimball, Snowflake Schema oder Data Vault 2.0 und integrierst unterschiedlichste Datenquellen zu einer konsistenten Analytics-Landschaft. Du etablierst und verantwortest Konzepte für Data Quality, Data Testing, Data Lineage und Data Governance und unterstützt den Aufbau moderner Analytics-Standards. Du optimierst Datenmodell
Recare Deutschland GmbH · JobRemote57y ago
About Recare As one of the leading German HealthTech companies, we are reshaping discharge management – technology-driven, patient-centered, and free from bureaucracy. In addition to our market-leading SaaS platform, we develop AI solutions that radically simplify processes in hospitals and for aftercare providers, relieve healthcare professionals, and refocus attention on patients. Today, we already connect two-thirds of all German hospitals with over 650 rehabilitation clinics and 25,000 nursing and homecare providers. With currently around 100 employees, we continue to grow – and we are looking for people with character who want to help us improve the healthcare system and solve administrative complexity across care journeys in Europe. What to expect as our Senior AI Data Platform Engineer (m/w/d): Purposeful work – your role will have a positive impact on patients, their families, and healthcare professionals. Company culture – we believe in flat hierarchies that promote high performance and strong team dynamics. We foster an environment characterized by mutual respect, loyalty, and recognition. Together, we strive for our goals – and expect the same from you. Flexibility – want to pick up your child from daycare? Like to exercise during lunch? We’ll support you. We are a remote-friendly company offering flexible working hours. Workations are also possible by arrangement. Edenred card – which you can use according to your needs. Extra vacation day – so you can celebrate your birthday with your loved ones, you’ll have the day off. In this role, you can make an impact and grow with us as Senior AI Data Platform Engineer (m/w/d): You will own and evolve the data backbone that powers Recare’s AI products (Voice, Extract & Docs, Agent) and the shared platform primitives that agentic systems depend on. Your work ensures that data ingestion, processing, and serving are reliable, secure, and production-ready - forming the foundation for scalable AI systems in healthcare
Lendable · 🇬🇧 London, United KingdomRemote57y ago
About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: One of the UK’s newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance . We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting We're looking for a Senior Analytics Engineer to support building the analytical foundation for our US Loans team, the fastest-growing area of the business. In this role, you’ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company. The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability. You’ll operate with a high degree of ownership, helping shap
Primer.io · 🇬🇧 United KingdomRemote57y ago
An Introduction to Primer Primer is the unified infrastructure for global payments. We give finance and payments teams the visibility and control to reduce complexity, improve performance, and capture more revenue - all from a single platform. Backed by Sofina, Peak XV Partners, ICONIQ, Tencent, Accel, and Balderton, we're building the payments layer the world's best companies rely on. Watch our showcase > Read up on our $100m Series C Learn more about our culture > Which team will you be joining? Every payment that flows through Primer generates data, and the Data team is what turns that torrent into something merchants and the business can actually use. We build and operate the data platform behind Primer's unified payments infrastructure, the event streaming architecture powering real-time payments analytics, the data lakehouse that makes payments data trustworthy and queryable at scale, and the pipelines that feed everything from merchant-facing insights to internal decision-making. The team is small and senior - a tight group of data engineers, including Staff-level talent, operating with a high degree of autonomy. Alongside it sits Primer's emerging ML function, which will fold into this role's remit as it matures. You'll lead the Data team as its Engineering Manager owning delivery, growth, and technical direction, reporting into a Senior Engineering Manager and partnering closely with Product and other teams across engineering, finance and revenue operations. What will you be doing? Own delivery end to end across the data platform: streaming, warehousing, modelling, and the pipelines in between, holding the team to a consistent bar on quality and pace without becoming the bottleneck yourself Lead, coach, and grow the engineers on your team: career development, feedback, performance, and building an environment where the team does its best work Stay technically credible. You'll review designs for real-time streaming systems, evaluate trade-offs in warehouse a
Bikeleasing · 🇩🇪 GermanyRemote57y ago
Deine Aufgaben Mit der Bikeleasing Gruppe gestalten wir die Zukunft moderner Mobilität und Arbeitswelten. Als führende Unternehmensgruppe für Arbeitgeber-Benefits und Mobilitätslösungen vereinen wir fünf spezialisierte Unternehmen unter einem Dach – von Multi-Benefit-Anbietern über Leasing- und Versicherungsdienstleister bis hin zu Händlern für refurbished Bikes. Wir wachsen profitabel und befinden uns auf einer spannenden technischen Transformationsreise. Als Team Lead Data Products & Analytics (gn) hast Du maßgeblichen Einfluss darauf, wie wir Daten in echten Business-Mehrwert verwandeln. Du führst ein cross-funktionales Analytics-Team, baust die Team-Lead-Funktion von Grund auf auf und verbindest strategische Datenanforderungen mit operativer Exzellenz. Dich erwartet ein moderner Stack, direkte Linie zum Head of Data und gruppenweite Wirkung über Bikeleasing-Service, Probonio und Bike2Future. Wenn Du Verantwortung übernehmen möchtest, Dinge pragmatisch voranbringst und in einem professionellen Umfeld mit kurzen Entscheidungswegen arbeiten willst – dann sollten wir uns kennenlernen. Du führst disziplinarisch und fachlich ein Team aus Analytics Engineers und Analysten und entwickelst jeden Einzelnen gezielt in seiner Karriere weiter Du ownst den Team-Backlog: Du priorisierst Stakeholder-Anfragen, schützt Teamkapazität und kommunizierst Entscheidungen transparent nach außen Qualität und Weiterentwicklung unserer Datenprodukte treibst Du voran – von KPI-Definitionen und Self-Service-Dashboards über semantische Schichten bis hin zu AI-Produkten Du baust schlanke Prozesse für Refinement, Planung und Delivery auf und hältst Overhead konsequent klein Du arbeitest eng mit dem Head of Data und technischen Peers zusammen, übersetzt Prioritäten in konkrete Teamziele und vertrittst das Data-Team in Abstimmungen mit Marketing, Sales und Product Deine Stärken Du hast mehrere Jahre im Analytics- oder BI-Umfeld gearbeitet und bereits ein Team oder Teams fachlich oder disziplinari
Bikeleasing-Service GmbH & Co. KG · 🇩🇪 Berlin, GermanyRemote57y ago
Deine Aufgaben Mit der Bikeleasing Gruppe gestalten wir die Zukunft moderner Mobilität und Arbeitswelten. Als führende Unternehmensgruppe für Arbeitgeber-Benefits und Mobilitätslösungen vereinen wir fünf spezialisierte Unternehmen unter einem Dach – von Multi-Benefit-Anbietern über Leasing- und Versicherungsdienstleister bis hin zu Händlern für refurbished Bikes. Wir wachsen profitabel und befinden uns auf einer spannenden technischen Transformationsreise. Als Team Lead Data Products & Analytics (gn) hast Du maßgeblichen Einfluss darauf, wie wir Daten in echten Business-Mehrwert verwandeln. Du führst ein cross-funktionales Analytics-Team, baust die Team-Lead-Funktion von Grund auf auf und verbindest strategische Datenanforderungen mit operativer Exzellenz. Dich erwartet ein moderner Stack, direkte Linie zum Head of Data und gruppenweite Wirkung über Bikeleasing-Service, Probonio und Bike2Future. Wenn Du Verantwortung übernehmen möchtest, Dinge pragmatisch voranbringst und in einem professionellen Umfeld mit kurzen Entscheidungswegen arbeiten willst – dann sollten wir uns kennenlernen. Du führst disziplinarisch und fachlich ein Team aus Analytics Engineers und Analysten und entwickelst jeden Einzelnen gezielt in seiner Karriere weiter Du ownst den Team-Backlog: Du priorisierst Stakeholder-Anfragen, schützt Teamkapazität und kommunizierst Entscheidungen transparent nach außen Qualität und Weiterentwicklung unserer Datenprodukte treibst Du voran – von KPI-Definitionen und Self-Service-Dashboards über semantische Schichten bis hin zu AI-Produkten Du baust schlanke Prozesse für Refinement, Planung und Delivery auf und hältst Overhead konsequent klein Du arbeitest eng mit dem Head of Data und technischen Peers zusammen, übersetzt Prioritäten in konkrete Teamziele und vertrittst das Data-Team in Abstimmungen mit Marketing, Sales und Product Deine Stärken Du hast mehrere Jahre im Analytics- oder BI-Umfeld gearbeitet und bereits ein Team oder Teams fachlich oder disziplinari
Lendable · 🇬🇧 London, United KingdomRemote57y ago
About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: One of the UK’s newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance . We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting We'd love for you to become a key part of our Python Infrastructure team; a collaborative group that's always pushing the boundaries of what's possible. This role sits at the intersection of analytics engineering and Python-based data engineering. You’ll work on transforming and modelling data using SQL and dbt, while also leveraging Python to build data workflows, automate processes, and build tools to optimise day to day work. No two days look the same here. We're building something great, and we're looking for the right people to grow with us. If that sounds like you, we can't wait to hear from you. Our Tech Stack You’ll work
Fivetran · RemoteRemote57y ago
<div class="content-intro"><p>From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.</p></div><p><span style="font-size: 10pt;"><strong>About Us<br></strong></span></p> <p><span style="font-size: 10pt;">Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.<br>Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.<br>Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.<br>As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.<br>During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.</span></p> <p><span style="font-size: 10pt;"><strong>About the Role</strong></span></p> <p><span style="font-size: 10pt;">Fivetran is building data pipelines to power the modern data
Gismart · RemoteRemote57y ago
About us: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team comprises over 350 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team. Our mission: Become a stepping stone on our customers’ journeys of self-improvement. Our values: Deliver what matters Respect and support others Initiate and own Voiceopenly Execute with quality If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com . Responsibilities Design, build, and maintain ETL/ELT pipelines using SQL/Apache Spark (AWS Glue) and Airflow. Model and optimize data in Amazon Redshift and query large datasets via Amazon Athena. Write advanced SQL to transform raw data into clean, joinable, analysis-ready tables. Build and maintain Tableau dashboards and data sources, ensuring accuracy, performance, and usability for business stakeholders. Partner with stakeholders (marketing, product, BI) to translate business questions into robust data models. Ensure data quality by implementing checks/monitoring and documenting the data warehouse. Improve pipeline reliability, performance, and cost-efficiency on AWS, including evaluating and adopting dbt for transformations. Requireme
1Komma5Grad · RemoteRemote57y ago
1KOMMA5° At 1KOMMA5° , we pursue a clear vision: Living on wind and sunlight forever for free . To make this a reality, we are building the energy system of the future with Heartbeat AI. Want to be part of it? We bring together regional craftsmanship and scalable software: We don't think of solar, batteries, heat pumps, and e-mobility as isolated components, but control them as an intelligent, integrated overall system in our virtual power plant. Directly connected to the electricity market – in real time, fully automated. This way, energy is used when it is available from renewables and particularly cost-effective. By 2030, our goal is to transition 1.5 million households to renewable energies. Over 3,000 people are working towards this every day, at more than 80 locations worldwide, from Finland to Australia. Want to take responsibility and build solutions that truly matter? Apply now and help us shape the energy world of tomorrow. Learn more about our Product & Tech team! Deine Position We are looking for an Analytics Engineer who enjoys building trusted data foundations and enabling teams to make better decisions, measure outcomes, and demonstrate the impact of their work. As an Analytics Engineer, you will Build and maintain scalable, production-grade data models and analytics foundations that power decision-making across our 7 international markets Partner with Product Managers and business stakeholders to define success metrics, evaluate product outcomes, and turn data into actionable insights Enable self-service analytics through trusted metrics, reusable semantic models, and scalable data products that help teams answer their own questions and demonstrate the impact of their work Leverage AI and modern analytics tooling to accelerate insight generation, improve analytics workflows, and enable stakeholders to interact with data more effectively Continuously improve our analytics platform through robust modeling, testing, documentation, and engineering best p