Senior Data Engineer – Modern Data Platform, AI

Aroundhome

Senior Data Engineer at Aroundhome building a modern data platform to empower house owners. Collaborating with stakeholders to create scalable data solutions in a flexible working environment.

Posted 5/17/2026full-timeBerlin • 🇩🇪 GermanySeniorWebsite

Tech Stack

Tools & technologies

AirflowAWSCloudETLKafkaMicroservicesPythonSparkSQLTerraformUnity

About the role

Key responsibilities & impact

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.
Architect and contribute in implementing a scalable, modern data platform, including data lakehouse or warehouse.
Optimize ETL/ELT pipelines using tools like DBT, Spark, or Airflow.
Evaluate and integrate new technologies to support hybrid monolith-microservices architecture and ML and AI enablement.
Build and optimize real-time data pipelines using Kafka, Spark, and Delta Live Tables.
Support the team lead in establishing and enforcing data governance frameworks.
Collaborate with the team to integrate AI/ML capabilities to accelerate data products for market penetration and operational efficiency.
Mentor the team on best practices, modern tools (e.g., Databricks, Snowflake), and cloud-native scalability.
Collaborate with Product Analytics, domain teams, and business to deliver data solutions that drive value.

Requirements

What you’ll need

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, the ability to drive change and influence stakeholders, and a passion for mentoring, coaching, and sharing knowledge
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 (e.g., Kafka, Spark Structured Streaming, Flink).
Hands-on knowledge of data governance tools (e.g., Unity Catalog, Collibra) for lineage, quality, catalogs, and SSOT.
Familiarity in AI/ML pipelines and MLOps (e.g., 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.

Benefits

Comp & perks

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, we offer you the possibility to 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. In addition, we offer monthly Tech Talks, an annual training budget, as well as great workshops to seek new input and specific training for your personal development.
Mental & physical health // Stay healthy & active: We care about your well-being and support your health with a discounted membership at Urban Sports Club. In addition, our cooperation partner “Fürstenberg Institute” is available to you and your family members with advice and support when it comes to mental health & coaching.
Taking responsibility // We #care: We care for our planet and the people who are living on it. To make our world a little bit better, our ESG Team (Environmental, Social & Governance) promotes our awareness for environmentally friendly behavior. In addition, we work with JobRad, offer a discounted BVG ticket, and actively support social projects in Berlin at our annual Social Day to give something back.
Teamspirit // Stay connected: What drives us is our sense of community. That's why we celebrate our Company Day once a month in our office at Potsdamer Platz, where everyone gets together in person. In addition to a comprehensive update of our C-Board, the main focus is on togetherness and the exchange of ideas over lunch and dinner together.

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Applicant Tracking System Keywords

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Hard Skills & Tools

data modelingETLELTdata lakehousedata warehousedata governancereal-time data pipelinescloud-native scalabilitydata transformationsCI/CD

Soft Skills

communicationcollaborationmentoringcoachinginfluencing stakeholdersdriving changeknowledge sharing

Certifications

Master's degree in Computer ScienceMaster's degree in Data Engineering