Role Overview
With a mission to empower 15.6 million house owners across Germany and the broader DACH region, Aroundhome is building a platform where every strategic decision is powered by data. With a team of about 250 people, we are looking for an experienced Senior Data Engineer (Modern Data Platform & AI) to help shape our data foundation.
You will report to the Data Platform Team Lead and work closely with stakeholders across Product, Marketing, Finance and Product Analytics to ensure a reliable, scalable, and accessible data platform for the entire company.
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 implement a scalable, modern data platform, including a data lakehouse or warehouse, to support real‑time/near‑real‑time data flows from Kafka to downstream consumers.
- Optimize ETL/ELT pipelines using tools such as DBT, Spark, or Airflow, bridging upstream (e.g. Debezium, MSK) and downstream processes.
- Evaluate and integrate new technologies to support a hybrid monolith‑microservices architecture and AI/ML 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 and operationalize ML models.
- Knowledge Sharing: Mentor the team on best practices, modern tools (e.g., Databricks, Snowflake, AI adaptation and integrations like Cursor/CodeRabbit), and cloud‑native scalability, fostering a culture of innovation and continuous improvement.
- Stakeholder Collaboration: Work with Product Analytics, domain teams, and business to deliver data solutions that drive value and align with business needs.
- 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 with the ability to drive change, influence stakeholders, and mentor others
- Proven expertise in designing, developing & maintaining data lakehouses/DWH (e.g., Databricks Delta Lake, Snowflake) and transformations (e.g., 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
- Hybrid Work // Stay flexible: Work from our Berlin office, home across Germany, or fully remote from Portugal, with optional work up to 30 days per year from selected EU countries.
- Room to grow // Stay curious: Regular/annual feedback meetings, personal development paths, monthly Tech Talks, an annual training budget, and access to LinkedIn Learning plus workshops.
- Mental & physical health // Stay healthy & active: Health support including a discounted Urban Sports Club membership and mental health coaching via the Fürstenberg Institute.
- Taking responsibility // We #care: ESG initiatives, JobRad, discounted BVG ticket, and support for social projects in Berlin at our annual Social Day.
- Teamspirit // Stay connected: Monthly Company Day at Potsdamer Platz, culinary gatherings, and comprehensive updates from the C‑Board.