
Spotify · Stockholm
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the ...
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
We’re looking for an Analytics Engineer II to join Spotify's Platform Central Data (PCD) squad, a cross-functional Data Engineering and Analytics Engineering team within the Platform Mission. You’ll help build and maintain trusted analytical models, metrics, and data products that power developer productivity, platform health, and leadership decision-making. Working closely with Data Engineers, Product, Engineering, and Platform partners, you’ll translate platform signals into reliable, well-modeled data assets that help Spotify ship faster and safer.
Analytics Engineer II - Revenue Operations The role: * Job title: Analytics Engineer II * Location: Amsterdam or Milan * Remote/ Hybrid: Hybrid Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. Your impact Revenue Operations at Mollie serves around 200 internal stakeholders across sales, customer success, marketing, and partnerships. The analytics work done here feeds directly into how commercial teams make decisions, assign leads, and manage performance. When the data is right, the whole commercial engine runs better. This role sits inside the GTM Enablement team, a small group focused on making Mollie's go-to-market motion faster and smarter. You will be the analytics engineering support for the team's projects. At the same time you will own reporting of our GTM domains, such as Merchant Sales and CSM & Customer Growth. That means the work you produce is immediately visible and measurable within the business. The domain is actively growing and maturing. RevOps has recently adopted a full domain model and is being rebuilt as a proper product and engineering function. There is real space here to shape how analytics is delivered to commercial stakeholders, not just execute on requests. Over time, the expectation is that the team shifts from reactive to proactive, and this role is central to making that happen. What you'll ship * Own and maintain core dashboards for GTM domains, including CSM, and Merchant Sales, serving as the source of truth for commercial stakeholders * Own and maintain HubSpot data models * Define success metrics, set up data tracking and reporting for GTM Enablement team projects * Reduce dashboard sprawl by establishing centralised, standardised reporting in Omni * Deliver ad hoc analysis and impact scoping to support decision-making What you'll bring * Strong SQL skills and hands-on experience building dashboards and reports in BI tools such as Looker, Tableau, or similar * Solid data visualisation skills with the ability to translate complex data into clear, actionable outputs for commercial audiences * A working understanding of data modelling concepts, with the ability to apply basic engineering best practices in your work * Experience managing stakeholders in a commercial or sales-facing environment, including the ability to prioritise, and communicate clearly with both technical and non-technical audiences * Around four or more years of experience in an analytics engineering or closely related role, with a proven level of independence to scope and drive your own work * Comfort working in a fast-moving, commercially oriented environment where priorities shift and ambiguity is part of the job Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below. Want a peek behind the scenes? Check out what life at Mollie is really like. AI at Mollie We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.
Who we are At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we’re the largest and fastest-growing automotive marketplace, and we’ve been profitable for over 15 years. What we do The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and ~30,000 dealerships use our products. But they're not the only ones who love CarGurus—our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride! Role overview CarGurus' Dealer Competitive Intelligence team is seeking a Software Engineer II (Frontend) to drive the next generation of analytics, data products, and dealer-facing experiences. This role offers a wide array of opportunities to build a new dealer-facing product from the ground up. To succeed in this role, you must be able to learn and adapt quickly while collaborating effectively with a cross-functional team. What you'll do * Develop and deploy clean, well-tested and efficient code, ensuring high standards of architecture, quality and performance * Provide support and improvements to core systems while maintaining high standards for internal stakeholder teams * Collaborate with cross-functional teams, including data analysts and product managers, to guide projects from concept through technical design, implementation, quality testing, and performance measurement What you'll bring * 2-4 years of hands-on software development experience in a professional setting * Proficiency in React and Javascript fundamentals * Experience or interest in leveraging AI coding tools * Practical knowledge of distributed systems and microservice architecture design * A strong understanding of data structures, algorithms and complexity analysis * The ability to iterate and ship ideas quickly and independently * Demonstrates curiosity and a passion for learning new technologies and concepts quickly * Proficiency in AWS / AWS Certification preferred * Proficiency in Java, SQL is a plus The displayed range represents the expected annual base salary / On-Target Earnings (OTE) for this position. On-Target Earnings (OTE) is inclusive of base salary and on-target commission earnings, which applies exclusively to sales roles. Individual pay within this range is determined by work location and other factors such as job-related skills, experience, and relevant education or training. This annual base salary forms part of a comprehensive Total Rewards Package. In addition to benefits, this role may qualify for discretionary bonuses/incentives and Restricted Stock Units (RSUs). Position Pay Range $112,000—$141,000 USD Working at CarGurus We reward our Gurus’ curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives. CarGurus may require in-person interviews as part of our hiring process, particularly for positions based in our Boston and Dublin offices. Candidates selected for an in-person interview will be notified in advance. Please be aware that travel expenses are the responsibility of the candidate. We welcome all CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential—starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That’s why we hope you’ll apply even if you don’t check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid
The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. ABOUT THE DATA PLATFORM TEAM Our Data Platform team is the engineering backbone of Tripadvisor’s data ecosystem. Formed from the core fundamentals of our Data Engineering and Software Engineering (Data Platform) groups, this unified team combines deep data pipeline expertise with robust platform engineering capabilities. We are responsible for providing software and infrastructure that enable Tripadvisor to better understand visitor preferences, power experimentation across all surfaces (website, mobile app, and customer communications), and drive GenAI, Analytical, and DSML initiatives at petabyte scale. Our team builds and maintains: * Streaming and batch data platforms that unlock data across Tripadvisor * ETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and Hive * Orchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operations * Tracking instrumentation, information architecture, and data governance tooling for business-critical analytics We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor’s global engineering organization. Tripadvisor is looking for a Data Engineer II to join our fast-moving Data Platform group. In this role, you will design, build, and sustain the data infrastructure that powers the world’s most trusted travel platform. You’ll bring both strong software engineering fundamentals and hands-on data engineering expertise — writing production-quality Java and Python, architecting reliable pipelines, and delivering end-to-end solutions that scale to hundreds of millions of travelers. Do you enjoy building features end-to-end? Do you thrive working with a broad technology stack, releasing frequently, and collaborating with talented engineers worldwide? If so, we’d love to talk. WHAT YOU’LL DO DATA ENGINEERING & DATA PRODUCTS, ETLS * Design, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms. * Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. * Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection. * Ensure enterprise data integrity, validation, documentation, and governance. PLATFORM & SOFTWARE ENGINEERING * Write production Java and Python code across our evolving platform stack — from data ingestion and event processing to REST services and internal tooling. * Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real-time and analytical workloads. * Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/CD mindset (most engineers release to production every few days). * Operate on and improve cloud infrastructure on AWS, with familiarity with Gradle, Linux, and related tooling. QUALITY, COLLABORATION & OWNERSHIP * Take on projects with independence and a mandate to leave things better than you found them. * Be integral to code quality on your team through leadership in design and code review. * Collaborate closely with Product, Design, Analytics, and Data Science teams to define specifications and deliver high-quality solutions. * Communicate effectively with both technical and business stakeholders; translate complex data problems into clear solutions. * Work alongside engineering groups located around the world in a fast-paced, dynamic environment. SKILLS & EXPERIENCE REQUIRED * 4–5+ years of data engineering or general software development experience in a commercial setting. * Strong hands-on proficiency in both Java and Python for production systems. * Demonstrated experience designing and implementing complex ETL/ELT processes from concept to production. * Proficiency in SQL and data exploration across large, complex datasets. * Experience with big data technologies (Hadoop, Hive, BigQuery, Snowflake) and working with terabyte-scale or larger datasets. * Solid foundation in data structures, algorithms, and object-oriented design. * Professional experience building REST services and working with event queue systems. * Familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers. * Systems performance and tuning experience, with an understanding of how architecture impacts scalability. * Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. * Strong analytical skills; desire to write clean, correct, and efficient code. * Self-paced, organized, and detail-oriented with a strong sense of ownership, urgency, and pride in your work. * Ability to break down complex problems into simple, pragmatic solutions. * Strong interpersonal skills, intense curiosity, and enthusiasm for solving difficult problems. * Willingness and ability to take on new technologies as our stack evolves. NICE TO HAVE * Experience with stream processing frameworks such as Flink or Spark Streaming. * Experience with task orchestration tools such as Apache Airflow or similar systems. * Familiarity with additional technologies: GraphQL, React, HTML5, JavaScript, CSS, Postgres, Gradle, BERT. * Experience working with and designing infrastructures for large-scale data processing (Hive, Snowflake, NoSQL databases). * Experience with data governance practices and tooling. * Exposure to and/or interest in machine learning, data science, or GenAI to help solve engineering challenges innovatively. * Experience developing scalable code for high-volume, low-latency systems. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at greenhouse@tripadvisor.com. #LI-SM1 #LI-Remote