Senior Data Product Engineer (f/m/d)

GROPYUS

About The Company GROPYUS is a technology-based construction company focused on building multi-story residential buildings. Thanks to its prefabricated building system with various design options, industrial offsite construction, and fully digitalized processes, the company manufactures aspirational, sustainable, and affordable homes using timber construction methods. GROPYUS is using scalable construction and manufacturing solutions to tap into a future market, boost Europe's strength in innovation, while also playing a substantial role in improving sustainability. About The Role: We are growing our Data Platform Team within the Gropyus Tech department. Our Platform team is responsible for our internal platform, the Gropyus Data Fabric.   Our team interacts with experts from various domains such as Digital Building Planning and Automation, Product Operations, Sustainability, AI, IoT, construction engineers, building architects, logistics experts, software engineering; solving complex challenges pertaining to end-to-end process for planning, building, and operating a building.   What You Will Be Doing: As part of the Data Platform organization, you will:  * Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers   * Own and improve data reliability through monitoring, alerting, SLAs, and data quality checks  * Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets.  * Lead strategic initiatives to modernize or scale our data ecosystem (including query optimization, schema design, analytics, etc)  * Mentor and guide team members to elevate engineering rigor and technical capability  What You Bring:  * Experience working with a tech stack similar to:  * Programming languages like Python or Kotlin.  * Databases like Postgres, BigQuery, Spark, Graph DB  * Tools like: Kubernetes, Docker, Terraform, Dagster, DBT  * Cloud Storage Platforms   * You have strong problem-solving and analytical skills and the ability to break down complex tasks for operations including working with stakeholders, adapting to dynamic input, and leading implementation projects  * You have experience identifying and resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling  * You have experience in building, operating, and scaling data intensive reactive processing pipelines from end to end including ingestion, storage, orchestration, transformation, enrichment, and analytics  Optional Experience:  * Some knowledge about semantic web technologies like RDF and OWL  * Experience with ontology engineering, and knowledge engineering topics, including using ontology engineering tools such as Protege  * Experience working with construction industry data and / or complex and large datasets  * Data Science, Machine Learning and AI agents   What we offer: * Be part of something big: You’re here to make a change? Come on board. At GROPYUS, we are on a mission to re-think an entire industry. Join us in reinventing construction and sustainable, affordable living.  * It’s on you: We offer a tremendous amount of ownership and room to make a mark - at all our organization levels. Find your solutions, drive and test them. * Focus on results: You choose if you work from home, a park, or the office. Whether you start your day early, after your run, or pick up on work when your kids are in bed. What counts is your contribution and delivery. * Bring your uniqueness to the team: Innovation requires diversity of thought. Diversity in background, experience and thinking is crucial to create the best product for everyone. We actively seek diversity and strive to unlock each other’s full potential. We are very proud that people from all industries and all walks of life are joining our company – in addition to core areas such as construction, engineering, and start-ups, from stock-listed companies from across automotive e-Commerce, digital, sporting goods, and more. You will work in international teams with passionate colleagues. Inspire and be inspired. * Be an owner: Participate in the success of GROPYUS through stock options. JOIN US ON OUR MISSION TO DESIGN BUILDINGS AS CONTINUOUSLY EVOLVING PRODUCTS TO CREATE THE MOST EXCITING AND AFFORDABLE EXPERIENCE FOR ALL. WE BUILD FOR PEOPLE AND CONSERVE THE RESOURCES OF OUR PLANET. WE CAN'T WAIT TO GET TO KNOW YOU.  FOR MORE INFORMATION, VISIT OUR WEBSITE, AND IF YOU HAVE ANY QUESTIONS, PLEASE REACH OUT TO US VIA EMAIL.

Voyfai

Join Voyfai, a fast-growing Series A startup shaping the future of logistics and technology across Europe. Headquartered in Berlin, we operate at the center of a broader group of companies active across several European markets. This is a unique opportunity to take ownership from day one, drive meaningful impact and grow within a dynamic, fast-paced environment. Whether you're shaping processes, building strategies or leading initiatives, your contributions will directly influence the success of Voyfai and the companies we support. If you're passionate about building from scratch and excited to be part of a company on the rise, we'd love to hear from you. Your Role As a Senior AI Product Engineer at Voyfai, you will own LLM pipelines that process real logistics documents and data in production, in multiple languages and formats. You will work closely with Product and Engineering to turn complex, unstructured problems into robust, production-ready AI solutions. This role is hands-on and impact-driven. You will take end-to-end ownership from use case discovery and prompt design to deployment, monitoring and continuous improvement in production, with a strong focus on real-world reliability and business impact. Key Responsibilities * Design and own LLM pipelines that process real logistics documents and data in production: prompt design, structured output validation, eval harnesses, retries, fallbacks, monitoring, alerting and cost tracking * Decide when to use an LLM and when not to. A lot of good engineering here is knowing when a regex, a lookup table, or deterministic code is the right answer * Build the evaluation infrastructure: test datasets, regression checks, quality metrics tied to business outcomes * Pick models pragmatically across providers (Claude, GPT, Gemini, open-weights) based on cost, latency and quality tradeoffs for each use case * Stay ahead of the curve on prompting techniques and apply them pragmatically to solve hard extraction problems * Collaborate with Product to scope ambiguous problems into something an AI pipeline can actually solve reliably * Raise the bar on code quality, testing and documentation across the team What You Bring * Several years as a software engineer shipping production systems, with at least 3 years focused on LLM-powered features in production * Strong backend fundamentals: PostgreSQL, async workflows (we use Temporal), queues, observability, CI/CD * Comfort working in both Python (AI pipelines) and TypeScript/Node.js (our product stack) * Deep practical understanding of LLM behaviour: prompting, structured outputs, context window management, common failure modes, handling non-determinism and writing evals that catch regressions before users do * Pragmatic judgment about architecture and tradeoffs. You have seen complex systems get simpler over time What We Offer * Competitive salary and equity options * A dynamic, fast-paced work environment with a mission-driven team * Flexible working arrangements (Hybrid) * 30 days of PTO * Regular team events and offsites * Monthly mobility budget via Navit

Taxfix

OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. YOUR CHALLENGE: Taxfix makes tax filing simple, fast, and accessible for millions of users across Europe. Behind the product sits a data platform that powers everything from business analytics and regulatory reporting to ML and AI-driven product features. We’re growing and the platform needs to grow with us. We are looking for an experienced Data Platform Engineer to design, build, and operate the infrastructure and pipelines that make data at Taxfix reliable, compliant, and ready for AI. You will own the systems that move data from operational databases, APIs, and SaaS tools into our analytical environment and make sure that data is correct, timely, and safe to use. Your work will directly enable ML and AI-powered product experiences, self-serve analytics, and regulatory reporting. YOUR TEAM: The Data Platform team is part of the Data Organization, which enables everyone at Taxfix to make data-driven decisions, drive business growth, and power ML and automation in our products. Within our group we have product analysts, analytics engineers, machine learning engineers, and data engineers working across the whole company. The platform team serves many consumers analytics, ML, product, and compliance so you can expect to join cross-functional project teams regularly, working alongside backend and frontend engineers, analysts, ML engineers, product and design. Team members are all data engineers but from different backgrounds. We rely on each other to deliver our best, grow together, share knowledge openly, and invest in personal development through mentoring and innovation. YOUR RESPONSIBILITIES AND DECISIONS: * Contribute to and operate cloud platform infrastructure - manage GCP resources (GCS, Dataflow, Dataproc, k8s, Pub/Sub…), provision and maintain environments with Terraform and help ensure the platform is reliable, predictable, cost-efficient and scalable * Build and maintain ingestion pipelines that capture changes from application databases, APIs, SaaS and deliver clean, analytics-ready tables to our cloud data warehouse * Operate and improve our orchestration layer - scheduling, retries, SLA tracking, and observability for data pipelines * Design data models with proper layering that handle real-world data complexity: out-of-order events, schema evolution, late arrivals, and backfills * Own data quality monitoring - build validation, monitoring, and alerting that catches problems before downstream consumers do * Implement privacy and compliance controls - anonymization, pseudonymization, access policies, and deletion propagation (GDPR right-to-be-forgotten) across raw and derived layers * Prepare data for ML and AI use cases - build governed, privacy-safe datasets and feature pipelines that ML engineers and data scientists can use for model training, evaluation, and production inference * Use AI effectively in engineering workflows - leverage AI-assisted development where it improves delivery quality and speed, and share best practices with the team * Build scalable AI platform capabilities - develop reusable, production-grade patterns for AI workloads (governed data access, privacy-safe telemetry, evaluation datasets, and cost/quality monitoring) that multiple teams can adopt YOUR PROFILE: * 4+ years of experience in Data Engineering or a similar role (backend engineer working on data-intensive systems counts) * Strong Python skills for data pipeline development - you write production code, not just scripts * Strong SQL skills - window functions, CTEs, query optimization are second nature * Experience with event-driven data pipelines - CQRS, event ordering, idempotency, and the difference between initial load and incremental processing * Expert with Airflow - you’ve built DAGs with proper task dependencies, retries, and monitoring * Strong Snowflake or other modern data warehouse knowledge - resource management (compute/warehouse sizing, concurrency), security & governance (roles/RBAC, column/row-level masking), columnar storage & partitioning/clustering concepts, and query performance & cost optimization in production * Cloud platform experience - you’ve worked with GCP (GCS, Dataflow, Dataproc etc) or equivalent AWS/Azure services and understand how to manage cloud resources at scale * Infrastructure-as-code - experience with Terraform, Helm, or similar tools for provisioning and managing cloud environments * K8S and Docker containerization - you package and deploy your own work * Data quality mindset - you profile data, validate assumptions, build checks, and don’t trust that “the data looked clean” * Data for AI readiness - you have experience preparing data for ML and AI use cases with appropriate governance, lineage, and privacy controls * Awareness of data privacy requirements - you can identify PII, understand GDPR, and know how to implement anonymization and deletion across multiple data layers * AI-enabled engineering practices - you actively use AI assistants and code generation tools to accelerate development and deliver, and you share effective practices with the team WHY TAXFIX? * A chance to do meaningful, people-centric work with an international team of passionate professionals. * Holistic well-being with free mental health coaching sessions and yoga. * A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. * Employee stock options for all employees because everyone deserves to benefit from the success they help to create. * 30 annual vacation days and flexible working hours. * Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. * Plenty of opportunities to socialise as a team. In addition to internal tech meetups, our international team hosts regular get-togethers - virtually and in person when possible. * Free tax declaration filing, of course, through the Taxfix app - and internal support for all personal tax-related questions. * Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Learn more about Team Taxfix on our blog and get a glimpse of our culture.   At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.