Germany•TELECOMMUTE
Remote
Senior
Full Time
remote-firstdata engineeringcloudAWSstreamingreal-time dataPythondbtAI/MLB2B SaaS
Requirements
- •10+ years of hands-on experience in data and/or software engineering with a leading role in production data pipelines powering product or customer-facing systems
- •Strong engineering background with production-grade Python, strong SQL, code review, testing, CI/CD, and operational ownership
- •Deep cloud infrastructure experience with AWS or equivalent, comfortable with infrastructure-as-code (Terraform, CDK, or similar)
- •Experience with streaming or real-time data ingestion technologies like Kafka, Kinesis, Flink, Spark Streaming
- •Solid experience with modern data warehouse/lakehouse technologies such as Snowflake, BigQuery, Redshift, Databricks, Athena
- •Hands-on experience with data transformation tooling, particularly dbt
- •Track record of building and operating distributed data systems at scale with attention to performance, reliability, and cost
- •Familiarity with data quality and observability tooling and practices (Great Expectations, dbt tests, Monte Carlo, or similar)
- •Background in enabling AI/ML workloads on production data
- •Strong communication skills in English, written and verbal
- •Comfortable working in a fully remote environment
- •Physically located within Europe
What You'll Do
- •Design, build, and operate production data pipelines that power product features from ingestion through enrichment, processing, and serving
- •Build and maintain streaming and real-time ingestion systems that move event data through the platform at scale and with low latency
- •Own the cloud infrastructure underpinning the pipelines including compute, storage, networking, security, observability, designed and managed as code
- •Collaborate with product and ML engineers to deliver datasets and pipelines that power product-facing features and AI/ML workflows
- •Implement data quality, observability, and reliability controls across the pipelines
- •Drive engineering practices such as code review, testing, CI/CD for data, infrastructure-as-code, performance tuning, and cost discipline
- •Partner with engineering, product, and ML teams to translate product requirements into scalable, well-documented data systems
Nice to Have
- •Knowledge of data cataloguing tools, data contracts frameworks, or data mesh principles
- •Background in B2B SaaS and familiarity with intent data, web event data, CRM, product analytics, billing, and support tooling
Benefits
- •Work with a knowledgeable, high-achieving and fun team
- •International, diverse, dynamic and committed work environment
- •Opportunity to work remotely with a flexible work schedule
- •Mental health support with Auntie
About DealFront
Dealfront is the go-to-market platform that provides data, applications, and insights to sales and marketing teams.
Karlsruhe, Germany
100 - 250
Data & Analytics