Cloud Data Engineer AWS / Google Cloud (all genders)

Brief Info About Vinted
Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life – or even a third.

The Vinted Group is made up of three business units that support this mission:

Vinted Marketplace
is Europe’s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.

Vinted Go
enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces.

Vinted Pay
is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.

Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people.

Information About The Position
As an Analytics Engineer in Marketing, you’ll architect, scale, and optimize the business critical marketing data pipelines that teams rely on to optimize marketing performance and decision-making. Specifically, you will design robust, future-proof pipelines that ingest, process, and monitor data from diverse external sources to ensure our teams have access to high-integrity data. In this role, you’ll have the opportunity to build a deep understanding of the marketing domain while proactively identifying data-related process optimization opportunities.

You’ll partner closely with:

• Marketing Operations Intelligence and Marketing Modelling Intelligence teams , who use this data daily for performance reporting and model-driven optimisation.
• Other Analytics Engineers in Marketing, with shared ownership of the marketing data domain
• A broader 40+ person Analytics Engineering Guild across Vinted, where you’ll benefit from established patterns, code reviews, reusable dbt and python components, and regular knowledge sharing.

This is an end-to-end role across
BigQuery, dbt, Airflow
: from raw ingestion and transformations through to trusted, well-documented datasets and domain-ready reporting.

You will report to the Manager of Data Science & Analytics, Marketing Analytics Engineering.

We have three distinct roles within Data Science & Analytics (DSA). We believe each role can make a similar business impact in different ways, and therefore our salary ranges are the same for all three roles. To understand your role within DSA context better, here are brief descriptions of each role we have in the department:

• Analytics Engineers are responsible for data curation – translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.
• Decision Scientists are responsible for actionable insights, identifying and sizing opportunities, and automated tools that increase the quality of product and business decisions by applying statistical methods and data-driven decision-making.
• Data Scientists are responsible for identifying algorithmic opportunities, ensuring those opportunities are addressed optimally, and designing, developing, and maintaining production-grade statistical and machine learning algorithms.

In this position, you’ll

• Architect and build scalable and reliable marketing data models in dbt/BigQuery/Looker that turn marketing operations and modelling data into Decision-ready datasets used for reporting, analysis and optimization.
• Standardize and scale testing practices across marketing pipelines by implementing automated anomaly detection and regression checks to increase reliability and consistency of reporting.
• Own production reliability by investigating incidents end-to-end, performing root-cause analysis, and shipping fixes that prevent repeat failures.
• Translate Marketing needs into clear technical delivery by gathering requirements in plain language, aligning definitions and turning them into documented models and metrics.
• Drive adoption and correct usage by writing practical documentation, enabling self-serve analysis.
• Proactively identify and drive opportunities to enhance the impact of Data Science and Analytics at Vinted.

About You

• Hands-on experience in Analytics Engineering or Data Engineering (typically around 5 years), or a closely related role with ownership of production pipelines.
• Strong SQL skills, including writing readable, maintainable queries and improving performance when datasets scale.
• Hands-on dbt experience, including building well-tested and performant models. Experience with the rest of our stack is a plus (Google Cloud Platform, Airflow, Python, Looker)
• Proficiency in Git and collaboration practices (pull requests, code reviews, version control).
• Strong attention to detail, including validating outputs, catching edge cases and keeping metric definitions consistent and well-documented.
• Problem-solving and optimization mindset.
• Strong communication and collaboration skills, with the ability to build and maintain cross-functional relationships and translate business needs into technical solutions.
• Excellent verbal and written communication skills in English.

Studies show that women and members of underrepresented communities often apply for jobs only if they meet 100% of the qualifications. If you don’t recognise yourself in all of the above, you might still be an excellent candidate for this position. If this role excites you, we encourage you to apply.

Work perks

• The opportunity to benefit from our share options programme
• 30 days of paid annual leave
• Newest MacBook models
• Digital mental and emotional health support and Employee Assistant Program (EAP)
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• Lunch benefit per your workday
• Frequent team-building events
• A personal monthly budget for shopping on Vinted
• Access to a discounted gym membership plan
• Pension Plan with Vinted matching 150% of your chosen contribution
• Supplemental Private Health Insurance
• Life and Disability insurance
• A subsidised Deutschlandticket for your commute to the office by public transport
• The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
• A dog-friendly office

Working at Vinted
Individual Learning Budget
We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.

Hybrid Work
We’ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person.

Equal Opportunity
The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.

The annual gross salary range for this position is:

€74.000—€100.100 EUR

About The Opportunity
The Analytics Engineering & Governance Enablement (AEGE) team is part of N26's wider Analytics Engineering & Data Governance (AEDG) function. Our function covers the full spectrum from data modelling and transformation through to BI tooling and governance infrastructure that makes all of that work reliable at scale. Our Team AEGE sits at the enabling end of that spectrum: We build the standards and tooling that the broader analytics engineering community depends on, to ship trusted data products.

About the team: we build and operate the infrastructure that enables a cross-functional analytics engineering function to work reliably and at scale. We own the dbt services powering N26's core data warehouse and lakehouse - its CI/CD pipelines, runtime configuration, data quality standards, and the tooling that keeps a broad community of data producers, analytics engineers, data analysts, and data scientists productive. We care deeply about what "good" looks like in data products, and we build the systems and practices that raise that bar across the organisation.

In This Role, You Will

• Own and evolve our core dbt services - maintain CI/CD infrastructure, drive performance improvements, enforce quality standards, and support a large community of data practitioners building on top of it
• Be the engineering interface for the analytics engineering community - unblock practitioners, review and improve shared patterns, and raise the bar on project quality, model structure, and SQL craft
• Improve data quality and governance infrastructure - contribute to services covering anomaly detection, freshness monitoring, drift detection, and data contract enforcement
• Shape data governance practices - drive standards around data ownership, data product thinking, and contract-first design across the data mesh
• Contribute to our Python based tooling - feature extensions, integrations, and observability utilities; write well-tested, maintainable Python that practitioners can build on
• Stay close to the platform - collaborate with our data platform team on the direction of shared infrastructure, representing the analytics perspective in technical decisions

What You Need To Be Successful

• Problem solving - you scope problems quickly, find root causes rather than treating symptoms. You know when to ship a pragmatic fix and when to go deeper
• Solid Python - typed, tested, maintainable code; you can contribute to shared tooling
• Strong SQL - you can read and reason about query plans, identify performance bottlenecks, and set a high standard for the SQL that goes into production
• Community and craft orientation - you're energised by helping others do better work; you can influence without authority and make good practices stick
• Track record of impact - you've improved reliability, quality, or productivity in a data organisation and can speak concretely about what changed
• dbt at scale - macros, hooks, incremental models, project structure, CI/CD integration; you've worked on large, multi-team dbt projects and understand the tradeoffs
• What matters more than any specific tool: we care more about how you think than what you've used. We want someone who can read an unfamiliar code base, understand what it does, identify what's wrong or missing, and fix it - and who can bring others along with them.

What’s In It For You

• Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
• Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.
• As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.
• Additional day of annual leave for each year of service.
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, experiences, and backgrounds.
• A relocation package with visa support for those who need it.

Who We Are
N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Sounds good? Apply now for this position.
Do you see yourself thriving in this role? We’d love to see your application even if you don’t meet 100% of the criteria. You may just be the right fit for this or other roles!

Equal opportunities for all
At N26, we believe our strength lies in our people and the varied perspectives they bring. We strive to build diverse teams that drive innovation and business success. We actively seek talent from all backgrounds and welcome applications from all genders, cultures, sexual orientations, abilities, neurodiversities, and ages.

We are committed to providing an excellent and accessible candidate experience. If you require any accommodations to make this process work for you, please let us know. We’re here to support you!

Discover more about Diversity & Inclusion at N26: https://n26\.com/en\-eu/diversity\-and\-inclusion

Job Description
Reliable pipelines, resilient infrastructure and a scalable data platform are the foundation of every data-driven decision at idealo. As we accelerate toward real-time analytics, personalization and data monetization, the Data Platform is the engine that makes it possible. As a Staff Engineer, you’ll shape the technical foundation of the platform that thousands of daily data workloads depend on—and drive the strategic initiatives that will define what it can do next.

This role combines platform engineering, cloud architecture and data engineering. You’ll influence how workloads are orchestrated across the platform, how infrastructure scales with demand and how technical decisions support idealo’s long-term data strategy.

You’ll work in a modern engineering environment where state-of-the-art AI tooling—such as Claude Code—is available to accelerate your day-to-day work.

About Your New Role

• Architect and develop cloud-native platform components, infrastructure automation and pipeline frameworks, with a strong focus on performance, security and maintainability.
• Lead technical initiatives within and across the team to align platform capabilities with business and product needs. Identify technical risks early and keep architecture decisions and technical concepts traceable across project phases.
• Drive continuous improvements across CI/CD pipelines, infrastructure as code, observability and monitoring. Structure technology choices as clear trade-offs—evaluating performance, cost, maintainability and integration—to inform strategic decisions.
• You’ll play a key role in shaping two of idealo’s most strategic platform initiatives: Personalization and Data-as-a-Service (DaaS).
• For Personalization, you’ll define and build a next-generation, privacy-first platform from the ground up, establishing the technical vision, architecture and engineering standards that enable highly relevant experiences across the entire customer journey for millions of users.
• In parallel, you’ll drive the evolution of our DaaS platform by researching, prototyping and validating new capabilities around real-time data processing, streaming technologies such as Kafka and Kinesis, and ML/AI integration. You’ll build scalable data products that enable data monetization and create new business opportunities.
• Working across Data Engineering, Software Engineering, Cloud, Platform, Product and Machine Learning teams, you’ll align technical direction, tackle complex cross-functional challenges and turn early concepts into production-ready platforms that will shape idealo’s long-term technology and data strategy.
• Mentor engineers through technical guidance, architecture discussions and code reviews, fostering a collaborative engineering culture focused on sustainable technical excellence.

Job Requirements
Skills & Requirements

• You have built and operated cloud-native platforms on AWS, with a strong focus on software and infrastructure engineering, distributed systems and operational excellence.
• You have hands-on experience with AWS services including Glue Catalog, Glue ETL with PySpark, S3, Lake Formation, Kafka, Kinesis, Lambda, ECS or EKS, and CloudWatch.
• You have used infrastructure-as-code tooling such as Terraform, AWS CDK or CloudFormation, as well as GitHub and GitHub Actions.
• Familiarity with SageMaker and Bedrock AgentCore is a plus.
• You have experience with workflow orchestration and data pipeline frameworks, ideally including Airflow or Astronomer.
• You have worked with PySpark or comparable distributed processing frameworks in Python.
• You have experience with containerization and orchestration technologies, including Docker and Kubernetes, as well as modern CI/CD practices and DevOps tooling.
• You understand software quality, security and reliability practices, including authentication, encryption, automated testing and secure software development.
• You understand data engineering concepts, including pipeline design, data modelling, ETL patterns, ML Ops, data quality and pipeline observability. You can use this knowledge to make sound architectural decisions and collaborate effectively with Data Engineers.
• You are familiar with data governance and compliance topics, including GDPR, data lineage, metadata management and access control through IAM and RBAC. You can translate these topics into concrete platform requirements.
• You have led complex technical initiatives, influenced architectural decisions and aligned engineering work across teams without formal people management responsibility.
• You take ownership and independently drive topics forward. You speak up and challenge ideas constructively while remaining open to diverse perspectives.

At idealo you can expect

• You want to further your education? We take your personal development goals seriously and, in addition to our idealo Learning Hub, eLearning offerings (e.g., Udemy), coaching & mediation, we also offer you the opportunity to benefit individually from additional learning and development budget.
• And what about the office? Our office in the heart of Berlin offers free organic breakfast, excellent free lunch (vegan and vegetarian), as well as free coffee, lemonades and after-work beer, in addition to the "standard foosball". It also has a fabulous rooftop terrace with view of the whole of berlin where you can network with colleagues from our group of companies.
• In need of additional support in any areas of your life? We offer free counseling and support in all areas of life (professional, private, family, health, etc.) in cooperation with the pme-Familienservice.
• You want full flexibility on your way to work and beyond? No problem with a job bike or Deutschlandticket - and it's environmentally friendly, too!
• Want to keep yourself fit? We offer many different fitness and sports options, such as an Urban Sports or Gympass membership, to suit your personal needs.
• And what else is there? Of course, success must be celebrated! In addition to team events, you can also expect big company events and other moments of organized connection with others in the company and your team throughout the year!

Neural Frames is a leading AI music video generator, turning any song into a fully produced music video in minutes. We're bootstrapped, profitable, and growing fast at over $5M ARR.

Our ambition is to build a category-defining company, helping tens of millions of audio creators to visualize their content and promote it online.

As a profitable company, there is no VC drama. We are a small, ambitious group of people, striving to build something creators love.

Tasks

• Own the systems that turn songs into videos: video generation pipelines, model orchestration, queue management, and the infrastructure that keeps it all running at scale.

• Design and build backend services in Python that orchestrate multiple AI providers (we work with fal, BytePlus, OpenRouter, AWS and others) and gracefully handle their quirks, failures, and pricing trade-offs.

• Improve reliability, latency, and cost across the generation stack. Every second shaved off a render and every cent saved per video compounds across millions of generations.

• Build the infrastructure for new product surfaces working closely with the founder and tech lead on architecture decisions.

• Instrument and monitor what you ship. You'll have real visibility into how your code performs in production and the autonomy to fix what's broken.

• Contribute to the AI/ML side of the stack: prompt engineering, model evaluation, fine-tuning pipelines, and experimenting with new models as they ship.

Requirements

• You've shipped production Python backends that handled real load - async workloads, queues, retries, the unglamorous stuff that makes systems actually work.

• You're comfortable working with AI APIs and have opinions about how to wrangle them: cost, latency, failure modes, model selection.

• You think in systems. When something breaks, your instinct is to find the root cause, not patch the symptom.

• You have high agency. You see a bottleneck, you fix it. You don't wait for a ticket.

• Bonus points: experience with video/audio processing pipelines (ffmpeg, GStreamer, etc.), GPU orchestration, multi-provider AI infrastructure, or distributed systems at scale.

• You're genuinely excited about generative AI and where it's heading. You probably have a side project or two that proves it.

• You're based in Berlin and can join us in the office on at least four days a week.

Benefits

VSOPs & Profit Sharing. Bi-weekly team lunches, regular team events, an annual summer offsite, learning & development support, productivity tools, a one-time headphone budget, Deutschlandticket, and a €5,000 referral bonus.

neural frames is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and welcome all applicants as we're committed to promoting a culture of opportunity for all.