Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Full Remote, Hybrid, Onsite
Job Summary
In this role, you will develop scalable data pipelines and optimize data models for analytics and AI applications while collaborating closely with various functional areas.
Job Technologies
Your role in the team
- 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're a team of around 250 people, and to accelerate our journey, we're looking for an experienced Senior Data Engineer (Modern Data Platform & AI) to contribute in shaping our data foundation together with our Data Engineers.
- You will report to the Data Platform Team Lead and work closely with different stakeholders to ensure a reliable, scalable, and accessible data platform for the whole company. Touchpoints with other functional areas include Product, Marketing, Finance and Product Analytics.
- 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 but not limited to curating, transforming, annotating and modeling data.
- Architect and contribute to 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 and AI enablement.
- Ensure seamless migrations and minimal disruptions during platform evolution.
- 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, 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.
- Collaborate with the team to integrate AI/ML capabilities, such as feature engineering and model serving, to accelerate data products for market penetration and operational efficiency, as well as operationalizing ML models and integrate AI into business processes.
- Mentor the team on best practices, modern tools (e.g., Databricks, Snowflake, AI adaptation and integrations like Cursor/CodeRabbit), and cloud-native scalability. And last but not least foster a culture of innovation and continuous improvement.
- Collaborate with Product Analytics, domain teams, and business to deliver data solutions that drive value and are aligned with business needs.
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Our expectations of you
Education
- Master's degree in Computer Science, Data Engineering, or related field (or equivalent experience)
Qualifications
- 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).
- Hands-on knowledge of data governance tools (e.g., Unity Catalog, Collibra) for lineage, quality, catalogs, and SSOT.
- Familiarity with 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
- 10+ years of experience in data engineering, with 5+ years in senior roles focused on modern architectures.
- 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).
- Experience with large-scale data modeling (DataVault, dimensional, schema-on-read) and optimizing for self-service analytics.
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What we offer
- Decide freely whether you want to work from our office in Berlin, from home throughout Germany, or fully remote from Portugal.
- 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, as well as great workshops to seek new input and specific training for your personal development.
- We care about your well-being and support your health with a discounted membership at Urban Sports Club.
- Our cooperation partner "Fürstenberg Institute" is available to you and your family members with advice and support when it comes to mental health & coaching.
- To make our world a little bit better, our ESG Team (Environmental, Social & Governance) promotes our awareness for environmentally friendly behavior.
- 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.
- We celebrate our Company Day once a month in our office at Potsdamer Platz, where everyone gets together in person.
- If you have any questions about a possible salary range for this position, feel free to send us an email at jobs@aroundhome.de.
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Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Aroundhome
Aroundhome is the biggest provider of products and services for the home in Germany, and helps millions of people find the right company for solar panels, new windows, or a kitchen before they make a purchase. We are dedicated to helping our customers find the best possible service in their area, and pride ourselves on being the leading provider in Germany.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Trade
Senior Data Engineer
- Location
- Berlin
- Working Model
- Full Remote, Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
