Senior Software Engineer (Data)

Narvar; Deutschland; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

Deepstreamtech is seeking a Senior Data Engineer to own and evolve pipelines that power analytics and ML products. The role includes designing, building, and operating data processes and collaborating with product and ML teams to ensure data quality and governance.

Ideal candidates will have strong SQL and Python skills, as well as experience with cloud data platforms, especially GCP. This position offers the opportunity to work in an innovative environment focused on advancing data accessibility.

Qualifikationen

• 5–8 years of experience building and operating production data systems.
• Strong SQL and Python skills with flexibility to learn other languages.
• Experience with cloud data stacks and data warehouses like BigQuery.

Aufgaben

• Own and evolve data pipelines and platforms for analytics and ML products.
• Design and operate data pipelines processing terabytes of data daily.
• Collaborate cross-functionally with product, ML, and GTM teams.

Kenntnisse

SQL

Python

Data modeling

API development

Cloud platforms (GCP, AWS, Azure)

Airflow

Data quality

Communicating with stakeholders

Tools

BigQuery

Cloud SQL

AlloyDB

Jobbeschreibung

Requirements

• Have 5–8 years of experience building and operating production data systems
• Have strong SQL skills and are proficient in Python, with flexibility to pick up other languages as needed. Comfortable building and maintaining APIs
• Have worked with modern data stacks on cloud platforms (GCP preferred, but AWS or Azure transfers well), including cloud data warehouses like BigQuery, ELT patterns, and orchestration with Airflow
• Understand data modeling deeply — dimensional modeling, slowly changing dimensions, incremental processing
• Treat data quality, lineage, and observability as first-class engineering concerns
• Communicate clearly with technical and non-technical stakeholders and are comfortable working cross-functionally
• Already use AI and agentic coding tools as a core part of how you work for planning, code generation, debugging, and code review
• (Desirable) You’ve worked in startup or high-ownership environments where you wore multiple hats
• (Desirable) You’ve built or maintained embedded analytics or multi-tenant data products
• (Desirable) You’re excited about making data accessible to AI systems, whether that’s through better metadata, semantic layers, or preparing datasets for agentic workflows
• (Desirable) You care about cost optimization and data governance

What the job involves

• We’re looking for a Senior Data Engineer to own and evolve the pipelines, platforms, and data products that power Narvar’s analytics, ML, and merchant-facing products
• You’ll work across the full stack of our data infrastructure, from ingestion and transformation to the analytics surfaces our merchants use every day.
• You’ll make architectural decisions, ship production systems at scale, and we expect you to work in an AI-native way, using agentic coding tools to increase your leverage and ship faster
• Design, build, and operate data pipelines that process terabytes of transactional data daily using Airflow/Composer and BigQuery
• Own end-to-end data models and transformations that power merchant analytics, operational reporting, and ML features
• Build and maintain embedded analytics infrastructure — the data products our merchants interact with directly
• Evolve our data platform on GCP, including BigQuery, Cloud SQL, AlloyDB, and CDC datastreams
• Improve data quality and reliability through testing, observability, alerting, and validation frameworks
• Own data lineage, metadata, and documentation, and help prepare our data layer for agentic and LLM-powered use cases with semantic clarity and standardized metric definitions
• Collaborate cross-functionally with product, ML, and GTM teams, and contribute to technical direction through design docs and architecture decisions