Senior Data Engineer

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.

Adsquare

INTRO At Adsquare, our mission is driven by our core focus: * Passion – Solving complex challenges with great people, tech, and data. * Niche – Location Intelligence for Programmatic Advertisers. Our core values are integral to everything we do: * Drive: We turn ambition into action to deliver valuable outcomes. * Resilience: We adapt, persevere, and grow stronger. * No BS: We value honesty, transparency, and clear communication. * Humble: We choose modesty over vanity and let results speak for themselves. * Moral Compass: We do the right thing with fairness, integrity, and respect. We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work. ABOUT THE TEAM As a (Senior) Data Engineer at Adsquare, you will be a key contributor to our core engineering function, creating and maintaining scalable big data pipelines that power our applications and drive business value. Because our engineering department handles a variety of critical data challenges, you will be assigned to a specific cross-functional squad based on your individual strengths, experience, and current business needs. To give you an idea of the work, your daily mission might involve: * Data Ingestion & Products: Developing data solutions built on massive volumes of location signals, geospatial (places) data, and audience attribute data. * Data Integrations & Egress: Architecting privacy-first, massive-scale data egress solutions to ensure our datasets reach external partners reliably, securely, and efficiently. Regardless of the specific squad, you will work alongside a talented team of Data and Backend Engineers under the guidance of a Technical Team Lead, operating with a high degree of autonomy and a strong software engineering mindset. YOUR MISSION * Data Pipeline Ownership: Take full accountability for the pipeline lifecycle—from raw data ingestion to transformation and external delivery—according to defined SLAs, time, and budget. * Architect Scalable Solutions: Design and build robust data architectures required to process and transfer terabytes of data. * Pipeline Optimization: Continuously improve data pipelines for cost and performance. This includes analyzing query plans, optimizing compute and working memory, and strategically applying horizontal or vertical scaling. * Engineering Rigor: Elevate data engineering standards. Implement CI/CD workflows, infrastructure-as-code, test-driven development (TDD), and automated testing to ensure reliable and maintainable code. * Data Monitoring: Create and maintain live monitoring dashboards to ensure data solutions are healthy and to support strategic decision-making. * Collaboration & Mentorship: Bridge the gap between Data and Backend engineering. For Senior applicants, act as a technical leader by mentoring junior team members, conducting code reviews, and introducing best practices. YOUR PROFILE We are looking for a candidate with varying levels of experience (mid-level to senior, typically 3-6+ years) in Data Engineering or Backend Development with a heavy data focus. You must be comfortable working in a self-organized, agile environment. Must-Have Technical Skills: * Programming Mastery: Very strong proficiency in Python and SQL. You write modular, production-ready code and possess a solid understanding of both Functional Programming and Object-Oriented Programming (OOP) principles. * Big Data & PySpark: Deep experience with large-scale data processing frameworks, specifically Apache Spark / PySpark. You understand how to handle TB-scale datasets efficiently. Deep understanding of big data file formats like parquet and avro. Experience with open Lakehouse formats like Iceberg. * Advanced Optimization Skills: Proven experience in optimizing data pipelines for compute, working memory, and cost efficiency, including reading and analyzing complex query plans/profiles. * Database & Storage Architecture: Expertise in the trade-offs between OLAP and OLTP systems. You have built solutions using relational and non-relational (NoSQL) databases, and horizontally scalable data warehouses/lakehouses (e.g., Redshift, Snowflake, StarRocks). * Cloud Native (AWS): Experience architecting solutions within the AWS ecosystem (e.g., S3, Athena, Glue, EMR, Lambda, Batch). * Infrastructure & Orchestration: Production experience treating infrastructure as software using Terraform, alongside experience with orchestration tools like Airflow, dbt, or Step Functions. * Engineering Fundamentals: Solid grasp of computer science principles, data structures, algorithms, and git-flow/CI/CD pipelines. * AI tools: Good command of using AI tools (e.g. Claude Code, Kiro, Gemini Pro) to improve and refactor your code, increase your productivity and quality and performance of your code. NICE TO HAVE * Compiled Languages: Experience with a compiled or strongly typed language (e.g., Java, Scala, Go, Kotlin, C++, Cython). * Geospatial Data: Experience working with GIS (Geographic Information Systems) and geo-spatial datasets. * Data Formats: Expertise in optimizing file formats (Parquet, Avro, Iceberg) for performance. * Streaming Technologies: Familiarity with Kafka and Flink. * Backend Context: Experience working closely with Backend engineers or familiarity with Backend architectural patterns (microservices, API design). WHY US? * Hybrid work model * 30 vacation days * Learning budget * Regular team and company events * Latest hardware of your choice * Pet-friendly Berlin office RECRUITING PROCESS COULD REQUIRE ON SITE STEPS For technical roles (Data, Engineering, and Product), candidates are encouraged to upload any technical certifications referenced in their CV via the "Other Documents" section of the application form. Alternatively, certification documents may be submitted after the first technical interview. Any certifications listed on the CV must be provided and successfully validated before proceeding to the second technical interview stage. * Step 1: Short 30-min take-home technical quiz. * Step 2: Value-based interview (30 mins). * Step 3: Deep-dive technical interview (1.5 hours) with the Data team. * Step 4: Practical data-crunching challenge. * Step 5: Team Meet & Greet — the final step to ensure we’re a great fit for each other. WORK MODEL Hybrid in Berlin, Remote for B2B opportunity

Sumup

TEAM DESCRIPTION The Risk AI Engineering Squad is a cross-functional team within the Risk & Compliance tribe,  responsible for developing cutting-edge data products and ML solutions that power Transaction Monitoring and protect our merchant base from Money Laundering and Financial Crime. We combine automation, AI, and engineering excellence to build innovative products that empower Risk and AML teams to work smarter, faster, and more efficiently. The Senior Data Scientist role is critical to advancing our transaction monitoring capabilities through machine learning, feature engineering, and scalable model pipelines. You will work across the full model lifecycle — from typology understanding and data exploration to feature development, training, validation, deployment, and monitoring — helping ensure our Risk and AML controls remain effective, auditable, and compliant across products and markets. We actively welcome applications from women and people from underrepresented backgrounds. Diverse perspectives make our team stronger and our systems more robust. If you're motivated by technical depth, real-world impact, and the challenge of making ML work reliably in a high-stakes environment, this role is built for you. Join us to shape the future of financial safety and make a lasting impact! WHAT YOU'LL DO * Build and ship production ML systems end to end: own and evolve end-to-end batch training pipelines, model versioning, monitoring, model deployment, and rollback for transaction monitoring models. * Build, maintain, and improve ML models for transaction monitoring, focusing on detection quality, operational efficiency, and regulatory compliance * Engineer features mapped to AML and Fraud typologies and suspicious behaviours, working closely with Risk investigators to translate domain knowledge into alerting logic and threshold calibration * Run sensitivity tests on synthetic datasets, produce ML governance artefacts such as model cards, and deliver audit-ready documentation to meet regulatory expectations * Own and evolve the AML Risk Score by analysing driver contributions, monitoring drift, running back-testing, and recommending improvements to features, logic, and thresholds * Partner with AML and Fraud Operations, Product, and Engineering to translate stakeholder needs into actionable, scalable data science solutions * Track and improve detection performance metrics, adapt solutions to regional compliance requirements, and contribute to system design documentation YOU'LL BE GREAT FOR THIS ROLE IF YOU HAVE… MUST HAVE * Production Python engineering: you write code that ships — you're comfortable with CI/CD, automated testing, versioning, and monitoring in a real production environment * End-to-end ML pipeline experience: demonstrated experience deploying and operating ML models in production, including drift monitoring and rollback * Modelling and productionalizing models: demonstrated experience training ML models, choosing appropriate KPIs and metrics for evaluation. * Data engineering fundamentals: hands-on experience with complex, multi-source data ecosystems, data quality, and lineage * Clear, confident communication: ability to align cross-functional stakeholders, set expectations, and turn ambiguous compliance requirements into a concrete technical plan NICE TO HAVE * Experience with Pyspark * Experience in AML, fraud detection, or financial crime domains * Unsupervised machine learning (e.g. anomaly detection, clustering) * Familiarity with Feature Stores and alerting threshold calibration * Experience producing regulatory ML governance artefacts (model cards, audit documentation) * Experience with AI systems and tooling WHY YOU SHOULD JOIN SUMUP * 🌎 Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup * 🌈 Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced * 🚀 Enrolment onto our Virtual Stock Option programme: you will own a stake in SumUp's future success * 📚 A dedicated annual L&D budget of €2,000 for your individual development, which can be used to attend conferences and/or advance your career through further education * 💶 A corporate pension scheme where we match up to 20% of your contributions * 🏖️ Generous time off: enjoy 28 days of paid leave plus public holidays and special leave days * 💪 Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, and subsidised office lunches * 🌴 Break4me: 1-month sabbatical after 3 years of service * 🔗 Referral Bonus: earn additional rewards by referring talented individuals to join the SumUp team ABOUT SUMUP Be empowered to do more that matters. At SumUp, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 37 markets rely on SumUp as their financial partner to manage payments, finance and customer relationships. Our commitment to small businesses is reflected in our diverse team of over 3,000 SumUppers from over 90 nationalities, united by global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone belongs and feels supported, no matter how they identify. SumUp is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don't make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form is strictly prohibited. Discover more about our culture and opportunities on our careers website, and follow our journey on LinkedIn, Instagram, and TikTok. Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.