(Senior) Data Engineer (m/f/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.

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. * 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 excellent technical expertise but also embody these values in every aspect of their work. YOUR MISSION Key Responsibilities * Pipeline Engineering: Build, deploy, and maintain robust transformation pipelines for high-volume data. You will participate in the full lifecycle: ingestion, transformation, testing (unit/integration), deployment, and monitoring. * Optimization & Maintenance: Write highly efficient code and collaborate with the team to refactor legacy systems, helping to improve performance and reduce cloud compute costs (e.g., optimizing Athena/Snowflake/Redshift clustering or AWS Glue jobs). * Software Engineering Best Practices: Adhere to and promote the team's technical standards by actively utilizing CI/CD workflows, containerization (Docker), and automated testing. * Data Quality & Observability: Focus on infrastructure monitoring rather than just business dashboards. You will implement alerts and checks (e.g., dbt tests, Great Expectations) to catch data quality issues before they reach stakeholders. * Collaboration & Growth: Work closely with Senior Engineers to plan architectures, participate actively in code reviews, and advocate for engineering rigor within the squad. YOUR PROFILE We are looking for a Data Analytics Engineer who approaches data with a software engineering mindset. You will join our Data Solutions squad to build and maintain production-grade data platforms. This is not a Data Analyst role. While you will understand the business context, your primary focus is technical: building scalable workflows, writing clean and testable Python/SQL code, automating deployments, and supporting cloud infrastructure optimizations. You will ensure our pipelines remain reliable, cost-effective, and maintainable. We are looking for a candidate who has solid analytics engineering experience or a strong background in backend development focused on data. Must-Have Skills * 2+ years of experience specifically in Analytics Engineering or Data Engineering. * Solid Python proficiency: You write modular, object-oriented code, utilize relevant libraries for testing, and understand exception handling and logging. * Strong skills in SQL & dbt: You can build scalable data models (Jinja templating, macros, incremental strategies) and understand query execution plans. * Software Engineering Fundamentals: Hands-on experience with Git flows, CI/CD pipelines (e.g., GitHub Actions, GitLab CI), and Containerization (Docker). * AWS Cloud Native Experience: Experience building and maintaining data workflows using serverless architectures such AWS Lambda, StepFunctions, Glue, and Athena. * Testing Mindset: Experience implementing Unit Tests and Integration Tests for data pipelines rather than relying solely on manual checks. * Data Warehouse Ops: Solid understanding of warehousing architecture (Snowflake, Redshift, or BigQuery), including partitioning and clustering concepts. NICE TO HAVE * Experience with Infrastructure as Code (Terraform) to manage cloud resources. * Experience with orchestration tools like Airflow, Dagster, or Prefect. * Knowledge of big data processing frameworks (Spark/PySpark). * Experience with agentic coding CLI or IDE tools for more efficient planning, architecting and implementation of features. * Familiarity with dashboarding tools (Streamlit, Preset, Tableau, etc.) – Note: This is helpful for debugging and monitoring, but not the core function of the role. * B.S. or M.S. in Computer Science, Engineering, Mathematics or other relevant fields. WHY US? On top of a competitive package… * We are open to flexible work models: we work in a hybrid mode and remotely from anywhere in the world up to 3 months per year. * To encourage education and professional growth, we offer an individual yearly budget of 1.200€. * You are entitled to 30 vacation days per year. * We offer Urban Sports Club membership, company pension scheme. * Regular team events and company events organised by our People team (Trust us, they know how to throw a party!). * We equip you with the latest hardware and provide you with all the tools you need to thrive. SALARY RANGE (ANNUAL ON-TARGET EARNINGS) 60,000 - 75,000 euros RECRUITING PROCESS 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: Value-based interview (30 mins). * Step 2: Deep-dive technical interview (1.5 hours) with the Data team. * Step 3: Practical data-crunching challenge. * Step 4: Team Meet & Greet — the final step to ensure we're a great fit for each other. WORK MODEL Hybrid DESIRED START DATE As soon as possible

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. * 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 We are looking for a Staff Data Analytics Engineer to join our technical proficiency track. This is a highly technical, Individual Contributor (IC) role. You will act as the Technical Lead for your squad—making critical architectural decisions, defining engineering standards, and driving cross-squad collaboration—without the responsibilities of people management. You will be the technical north star for the team, approaching extremely complex data problems with a rigorous software engineering mindset. You will design, build, and oversee production-grade data platforms that process massive volumes of geo-spatial data, audience attributes, and geo-location time-series data. YOUR PROFILE We are looking for an exceptional engineer who has a proven track record of acting as a technical leader and domain expert in heavy data environments. Must-Have Skills: * 7+ years of experience in Data Engineering, Analytics Engineering, or Backend Development with a deep focus on massive data systems. * Geo-Spatial & Time-Series Expertise: Proven, hands-on experience handling massive datasets specifically involving geo-spatial (GIS) data, audience attributes, and high-frequency time-series data. * Advanced Software Engineering (Python): Mastery of Python beyond standard data scripting. You write highly modular, object-oriented code. You have deep, practical experience with Test-Driven Development (TDD), mocking, exception handling, and performance profiling, functional programming. * Architectural Vision: Deep expertise in designing scalable data architectures using both relational and horizontally scalable data warehouses/lakehouses (e.g., Snowflake, Redshift, Athena, StarRocks, Iceberg). You deeply understand query execution plans, partitioning, clustering, and cloud cost governance. * Big Data Frameworks: Extensive experience with large-scale data processing frameworks (e.g., Apache Spark, PySpark, AWS EMR, Glue) to handle massive throughput. * Expert SQL & dbt: You design scalable, robust data models (using Jinja, macros, incremental strategies) that serve as the foundation for our entire analytics layer. * AWS Cloud Native & IaC: Hands-on experience building architectures in AWS (e.g.: AWS Lambda, AWS Batch, Glue, StepFunctions, S3, EC2, ECS, ECR, Fargate) and deploying them using Infrastructure as Code (Terraform). * Leadership Skills: Superb organizational and communication skills. You can distill complex architectural trade-offs for non-technical stakeholders and drive technical consensus among your engineering peers. Nice-to-Have Skills: * Polyglot Programming: Experience with a compiled or strongly typed language (e.g., Scala, Go, Kotlin, C++ or Java). * Advanced Orchestration: Experience defining complex dependency graphs in tools like Airflow, Dagster, or Prefect. WHAT YOU WILL DO * Technical Leadership & Architecture: Act as the principal architect for your squad. You will design horizontally scalable, cost-efficient, production-grade data solutions capable of handling TB-scale, highly dimensional datasets. * Engineering Excellence & TDD: Champion rigorous software engineering principles. You will lead the adoption of Test-Driven Development (TDD), CI/CD workflows, and clean code architectures. You ensure our codebase is resilient, testable, and maintainable. * Cross-Squad Impact: Drive technical alignment beyond your immediate team. You will act as an engineering ambassador, solving architectural issues that span multiple squads, keeping our technical processes synchronized, and aligning your squad's work with global engineering priorities. * Domain Mastery: Leverage your deep expertise to build high-value data products on top of location signals and audience attributes. You don't just process data; you deeply understand its geographic and time-series nature to unlock its business value. * Mentorship & Code Quality: Be the technical mentor for Senior, Mid, and Junior engineers. Through highly insightful code reviews, architectural feedback, and pair programming, your input will consistently be the source of others’ learning and growth. * Data Observability: Proactively build monitoring and alerting frameworks at the infrastructure level to catch anomalies in our multi-terabyte data streams before they impact downstream products. WHY US? On top of a competitive package… * We are open to flexible work models: we work on a hybrid mode and remotely  * To encourage education and professional growth, we offer an individual yearly budget of 1.200€ * You are entitled to 30 vacation days per year * We offer Urban Sports Club membership, company pension scheme * Regular team events and company events organised by our People team (Trust us, they know how to throw a party!) * We equip you with the latest hardware and provide you with all the tools you need to thrive SALARY RANGE (ANNUAL ON-TARGET EARNINGS) 90,000 - 100,000 euros 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 DESIRED START DATE Asap