Senior Data Engineer (Modern Data Platform & AI) (all genders) | Berlin, hybrid or remote

With a mission to empower 15.6 million house owners across Germany and the broader DACH region, we at Aroundhome are building a platform where every strategic decision is powered by data. We are a team of around 250 people, and to accelerate our journey, we are looking for an experienced Senior Data Engineer (Modern Data Platform & AI) to contribute in shaping our data foundation together with our Data Engineers. Responsibilities Data Modeling & Transformation: Design necessary data models and transformations to curate raw data. Develop, optimize and maintain existing data models, pipelines, and transformations to support analytics, reporting and AI use cases such as curating, transforming, annotating and modeling data. Data Platform Architecture: Architect and contribute in implementing a scalable, modern data platform, including data lakehouse or warehouse, to support real‑time/near‑real‑time data flows from Kafka to downstream consumers. Optimize ETL/ELT pipelines using tools like DBT, Spark or Airflow, bridging upstream (e.g. Debezium, MSK) and downstream processes. Evaluate and integrate new technologies to support hybrid monolith‑microservices architecture and ML/AI enablement. Ensure seamless migrations and minimal disruptions during platform evolution. Real‑Time Data Integration: Build and optimize real‑time data pipelines using Kafka, Spark and Delta Live Tables. Data Governance & Quality: Support the team lead in establishing and enforcing data governance frameworks, including data lineage, quality standards, catalogue, metadata management, SSOT for business glossaries/CBC terms, and policies to ensure reliable reporting. Ensure the existence of, or adaptation to, full Data Life Cycle Management (DLCM) and end‑to‑end testing. AI/ML Enablement: Collaborate with the team to integrate AI/ML capabilities, such as feature engineering and model serving, to accelerate data products, operationalize ML models and integrate AI into business processes. Knowledge Sharing: Mentor the team on best practices and modern tools (Databricks, Snowflake, AI adaptations and integrations such as Cursor/CodeRabbit), and cloud‑native scalability; foster a culture of innovation and continuous improvement. Stakeholder Collaboration: Collaborate with Product Analytics, domain teams and business to deliver data solutions that drive value and align with business needs. Qualifications / Skills Master’s degree in Computer Science, Data Engineering, or related field (or equivalent experience). 10+ years of experience in data engineering, with 5+ years in senior roles focused on modern architectures. Excellent communication and collaboration skills, ability to drive change and influence stakeholders, and a passion for mentoring, coaching and sharing knowledge. Proven expertise in designing, developing and maintaining data lakehouses/DWH (Databricks Delta Lake, Snowflake), and transformations (DBT, SQL/Python/Spark). Strong experience with cloud platforms such as AWS services (S3, Athena, MSK/Kafka, Terraform) and real‑time streaming (Kafka, Spark Structured Streaming, Flink). Hands‑on knowledge of data governance tools (Unity Catalog, Collibra) for lineage, quality, catalogs and SSOT. Familiarity with AI/ML pipelines and MLOps (MLflow, feature stores) and complex system integration within modern data technologies. Proficiency in CI/CD for data, and tools like Git, Airflow or dbt Cloud. Experience with large‑scale data modeling (DataVault, dimensional, schema‑on‑read) and optimizing for self‑service analytics. What we offer Hybrid Work // Stay flexible: Decide freely whether you want to work from our office in Berlin, from home throughout Germany or fully remote from Portugal. Additionally, you can work up to 30 days per year from selected EU countries. Room to grow // Stay curious: In regular/annual feedback meetings, you design your own personal development path together with your team lead. We offer monthly Tech Talks, an annual training budget and workshops to support your growth. Mental & physical health // Stay healthy & active: We support your well‑being with a discounted membership at Urban Sports Club and partnership with “Fürstenberg Institute” for mental health & coaching. Taking responsibility // We #care: We care for the planet and people, promoting environmentally friendly behavior via our ESG Team, offering JobRad, discounted BVG ticket and social projects in Berlin at our annual Social Day. Team spirit // Stay connected: We celebrate our Company Day once a month in our office at Potsdamer Platz and encourage community through lunch and dinner. #J-18808-Ljbffr Aroundhome