Aroundhome
Senior Data Engineer (Modern Data Platform & AI) (all genders) | Berlin, hybrid
Aroundhome, New Bremen, Ohio, United States
Senior Data Engineer (Modern Data Platform & AI) | Berlin, hybrid or remote
We at Aroundhome empower 15.6 million house owners across Germany and the broader DACH region. Join our team of ~250 people and shape a data‑centric platform that informs every strategic decision. You will report to the Data Platform Team Lead and collaborate with Product, Marketing, Finance, and Product Analytics to deliver a reliable, scalable, and accessible data platform company‑wide. Responsibilities
Design, develop, and maintain modern data models and transformational pipelines to support analytics, reporting, and AI use cases. Build and optimize real‑time data pipelines using Kafka, Spark, and Delta Live Tables. Architect a scalable data lakehouse or warehouse, bridging upstream (Debezium, MSK) to downstream consumers. Optimize ETL/ELT pipelines with DBT, Spark, Airflow and integrate new technologies to support hybrid architecture and AI/ML enablement. Establish data governance frameworks, including lineage, quality, catalog, metadata, and SSOT for business glossaries. Implement end‑to‑end testing and Data Life‑Cycle Management practices. Mentor the team on best practices, modern tools (Databricks, Snowflake, AI adapters) and foster a culture of innovation and continuous improvement. Qualifications
Master’s degree in Computer Science, Data Engineering, or related field (or equivalent experience). 10+ years of data engineering experience, including 5+ years in senior roles focused on modern architectures. Proven expertise in designing, developing and maintaining data lakehouses/DWH (Databricks Delta Lake, Snowflake), and transformations (DBT, SQL/Python/Spark). Strong experience with 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. Familiar with AI/ML pipelines and MLOps (MLflow, feature stores) and complex system integration. Proficiency in CI/CD for data, using Git, Airflow, dbt Cloud, etc. Excellent communication, collaboration and mentoring skills. Benefits
Hybrid work: flexible office in Berlin, home in Germany, or fully remote from Portugal; up to 30 days per year remote from selected EU countries. Personal development: regular feedback, monthly tech talks, annual training budget, LinkedIn Learning access. Well‑being: discounted Urban Sports Club membership; partnership with “Fürstenberg Institute” for mental health & coaching. ESG and social projects: ESG Team initiatives, JobRad, BVG ticket discount, annual Social Day. Community: monthly Company Day at Potsdamer Platz; comprehensive C‑Board updates.
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We at Aroundhome empower 15.6 million house owners across Germany and the broader DACH region. Join our team of ~250 people and shape a data‑centric platform that informs every strategic decision. You will report to the Data Platform Team Lead and collaborate with Product, Marketing, Finance, and Product Analytics to deliver a reliable, scalable, and accessible data platform company‑wide. Responsibilities
Design, develop, and maintain modern data models and transformational pipelines to support analytics, reporting, and AI use cases. Build and optimize real‑time data pipelines using Kafka, Spark, and Delta Live Tables. Architect a scalable data lakehouse or warehouse, bridging upstream (Debezium, MSK) to downstream consumers. Optimize ETL/ELT pipelines with DBT, Spark, Airflow and integrate new technologies to support hybrid architecture and AI/ML enablement. Establish data governance frameworks, including lineage, quality, catalog, metadata, and SSOT for business glossaries. Implement end‑to‑end testing and Data Life‑Cycle Management practices. Mentor the team on best practices, modern tools (Databricks, Snowflake, AI adapters) and foster a culture of innovation and continuous improvement. Qualifications
Master’s degree in Computer Science, Data Engineering, or related field (or equivalent experience). 10+ years of data engineering experience, including 5+ years in senior roles focused on modern architectures. Proven expertise in designing, developing and maintaining data lakehouses/DWH (Databricks Delta Lake, Snowflake), and transformations (DBT, SQL/Python/Spark). Strong experience with 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. Familiar with AI/ML pipelines and MLOps (MLflow, feature stores) and complex system integration. Proficiency in CI/CD for data, using Git, Airflow, dbt Cloud, etc. Excellent communication, collaboration and mentoring skills. Benefits
Hybrid work: flexible office in Berlin, home in Germany, or fully remote from Portugal; up to 30 days per year remote from selected EU countries. Personal development: regular feedback, monthly tech talks, annual training budget, LinkedIn Learning access. Well‑being: discounted Urban Sports Club membership; partnership with “Fürstenberg Institute” for mental health & coaching. ESG and social projects: ESG Team initiatives, JobRad, BVG ticket discount, annual Social Day. Community: monthly Company Day at Potsdamer Platz; comprehensive C‑Board updates.
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