Senior Data Engineer, aroundhome

Modern Data Platform & AI

Salary not provided

SQL

AWS

Python

Kafka

Airflow

Terraform

Athena

Spark

Unity

Snowflake

Flink

Git

dbt

Expert level

Berlin

Remote from Germany

Marketplace for household products and services

Be an early applicant

Marketplace for household products and services

201-500 employees

B2CB2BMarketplaceLead generationInterior designHome improvementConsumer GoodsConsumer Appliances

Be an early applicant

Salary not provided

SQL

AWS

Python

Kafka

Airflow

Terraform

Athena

Spark

Unity

Snowflake

Flink

Git

dbt

Expert level

Berlin

Remote from Germany

201-500 employees

B2CB2BMarketplaceLead generationInterior designHome improvementConsumer GoodsConsumer Appliances

Company mission

To provide good recommendations to help customers make better decisions and realize all the big projects around the home with less stress.

Job

Company

Role

Who you are

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

What the job involves

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 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 and AI enablement
Ensure seamless migrations and minimal disruptions during platform evolution
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

Our take

Energy bills are rising rapidly and the environment impact of household power consumption has never been so apparent. Homeowners are looking for a way to reduce costs and emissions, but finding reliable and expert advice can be difficult. Aroundhome exists to solve this problem - by matching homeowners with local companies who can assist with anything home-related, from kitchen design to solar panels installation.

Aroundhome is a well-known name in this field. Founded in 2008, it has grown to become the largest online broker for household products and services in Germany. It has carved out this position by its responsiveness - homeowners searching on its platform are directed to providers who have staff available to discuss the project on live chat. While large local competitors exist such as MyHammer which links tradespeople to customers, Aroundhome's more comprehensive approach which includes products and other household services sets it apart.

The company was acquired by NuCom group in 2019, which is part of ProSiebenSat.1, a German mass media company. This will allow Aroundhome to take advantage of the group's advertising reach and cross-promote with other large companies within the group. It is well-positioned to take advantage of the growing market of people who are working from home, and have its sights set on becoming the largest home services provider worldwide.