Forward Deployed Engineer – Integrations, Customer Success

VOIDS

. Own the reliability and growth of the data infrastructure end-to-end .

Posted 9/29/2026full-timeHamburg • GermanyMid-LevelSenior💰 €80,000 - €110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering with a focus on building and maintaining scalable data pipelines, implementing DataOps/MLOps workflows, and ensuring system reliability. Proficient in Python, SQL, and layered data architectures, with strong customer communication skills in both German and English.

Highest-signal resume keywords

Data EngineeringPython Data ManipulationSQL and PostgreSQLDataOps/MLOps WorkflowsMedallion Data Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringPythonSQLPostgreSQLData PipelinesDataOpsMLOpsData ArchitectureAI ToolsData Manipulation Libraries

Soft Skills

Customer CommunicationProactive MindsetAutonomous Decision-MakingProduct IntuitionComfort with Ambiguity

Tools & Technologies

KubernetesDockerTerraformS3Parquet

Industry Keywords

E-commerceData InfrastructureStreaming DataEvent-Driven PipelinesBatch Data Pipelines

Tech Stack

Tools & technologies

DockerKubernetesPandasPostgresPythonSQLTerraform

About the role

Key responsibilities & impact

Own the reliability and growth of the data infrastructure end-to-end
Expand the data connector ecosystem beyond Shopify and Amazon
Evaluate, implement, and maintain new data sources while preserving system stability and customization tolerance
Work closely with customers to understand data sources, requirements, and edge cases
Serve as the first technical contact for data entering the system
Communicate with customers during onboarding and pilot projects and collaborate asynchronously with the internal team
Bridge customer needs and technical implementation by translating messy real-world data into reliable pipelines
Suggest solutions to customers proactively based on e-commerce understanding
Own the Bronze → Silver → Gold medallion architecture
Scale pipelines for more data, faster processing, and lower costs
Develop abstraction layers for customers with unique requirements
Improve developer experience and enable fast iteration cycles
Delegate testing, development, staging, and production workflows to AI agents where possible
Build and maintain AI-driven pipelines capable of deep customization without system failures
Own the full development lifecycle from testing through production with automated checks at every layer
Set up and maintain testing environments and DataOps/MLOps workflows
Identify and resolve bottlenecks, inconsistencies, and schema drift before they reach downstream consumers

Requirements

What you’ll need

Fluent German and English — both written and spoken (customer-facing communication required)
3+ years of experience in Data Engineering or closely related roles
3+ years experience in Python, particularly with data manipulation libraries (Pandas, Polars) for efficient data processing
Deep proficiency in SQL and PostgreSQL for structured data
Hands-on experience building and maintaining scalable streaming, event-driven and batch data pipelines and workflows as inputs for web applications and AI models
Proven ability to set up and maintain robust testing environments, and manage efficient DataOps/MLOps workflows to enable rapid iteration
Familiarity with infrastructure and containerization frameworks (Kubernetes, Docker, Terraform)
End-to-end expertise in designing and operating scalable data platforms, including storage (S3/Parquet), data pipelines, APIs, and connectors, with a strong grasp of layered data architectures
Strong understanding of medallion/layered data architecture — and the ability to fix one that isn't working properly
Daily, fluent use of AI tools; actively delegate end-to-end workflows to AI from testing and development through staging and production
Strong product intuition and understanding with a proactive, ownership-oriented mindset
Comfortable with ambiguity, autonomous decision-making, and direct customer contact

Benefits

Comp & perks

50/50 hybrid: Remote flexibility combined with our office in Hamburg city centre with drinks and snacks
Equity available for senior hires
30 days paid vacation
All AI subscriptions with unlimited usage you want
New Mac Book Pro & min. 2 Monitors in the office ;)
Regular team events and quarterly off-sites
Real ownership and influence
A calm, focused work environment that rewards initiative
Wellpass membership to unlimited fitness, yoga, swimming, climbing, and more
Permanent full-time contract (no B2B)