Forward Deployed Engineer – Integrations, Customer Success

VOIDS

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

Posted 10/25/2026full-timeHamburg • GermanyMid-LevelSenior💰 €90,000 - €110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining scalable data pipelines and workflows, with a strong focus on DataOps/MLOps practices and end-to-end data infrastructure management. Proficient in both German and English, capable of translating complex customer requirements into reliable data solutions.

Highest-signal resume keywords

Data Engineering ExperiencePython Proficiency (Pandas, Polars)SQL and PostgreSQL ExpertiseDataOps/MLOps Workflow ManagementMedallion/Layered Data Architecture Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentEvent-Driven ArchitectureBatch ProcessingAutomated Testing EnvironmentsData IntegrationData Architecture DesignAI-Driven PipelinesSchema Drift ManagementScalable Data PlatformsFluent in German and English

Soft Skills

Proactive MindsetCustomer CollaborationAutonomous Decision-MakingComfort with AmbiguityStrong Product Intuition

Tools & Technologies

KubernetesDockerTerraformS3ParquetAPIsDbtDaskApache SparkAWS Glue

Industry Keywords

E-Commerce SolutionsB2B AI StartupsData Science WorkflowsTime-Series Forecasting

Tech Stack

Tools & technologies

ApacheAWSDockerKubernetesPandasPostgresPythonSparkSQLTerraform

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 within existing flows
Work with customers to understand data sources, requirements, and edge cases
Serve as the first technical contact for customer data integration
Translate customer needs and messy real-world data into clean, reliable pipelines
Suggest proactive solutions to e-commerce customers
Own the Bronze → Silver → Gold medallion architecture
Scale pipelines for more data, faster processing, and lower costs
Design abstractions that scale across customers with unique requirements
Improve developer experience and enable fast iteration cycles
Delegate testing, development, staging, and production workflows to AI agents
Build and maintain AI-driven pipelines with robust customization support
Own testing, development, staging, and production lifecycle
Set up automated checks and robust testing environments
Maintain DataOps/MLOps workflows
Identify and resolve bottlenecks, inconsistencies, and schema drift before downstream impact
Collaborate directly with Jannik, Tobias, customers, CTO, and engineering team

Requirements

What you’ll need

Fluent German and English, written and spoken
3+ years of experience in Data Engineering or closely related roles
3+ years of experience in Python, particularly Pandas and Polars
Deep proficiency in SQL and PostgreSQL
Experience building and maintaining scalable streaming, event-driven, and batch data pipelines and workflows
Proven ability to set up and maintain robust testing environments
Experience managing efficient DataOps/MLOps workflows
Familiarity with Kubernetes, Docker, and Terraform
End-to-end expertise designing and operating scalable data platforms, including S3/Parquet, data pipelines, APIs, and connectors
Strong understanding of medallion/layered data architecture
Daily, fluent use of AI tools and delegation of end-to-end workflows to AI
Strong product intuition and proactive, ownership-oriented mindset
Comfortable with ambiguity, autonomous decision-making, and direct customer contact
Experience with B2B AI startups/scale-ups is a bonus
Experience with e-commerce datasets and solutions is a bonus
Familiarity with dbt, Dask, Apache Spark, EMR, Databricks, or AWS Glue is a bonus
Familiarity with or interest in data science workflows and time-series forecasting is a bonus

Benefits

Comp & perks

50/50 hybrid work with remote flexibility and Hamburg city-centre office
Competitive salary (€90,000–€110,000)
Equity available for senior hires
30 days paid vacation
All AI subscriptions with unlimited usage
New MacBook Pro and minimum 2 monitors in the office
Regular team events and quarterly off-sites
Real ownership and influence
Calm, focused work environment that rewards initiative
Wellpass membership with unlimited fitness, yoga, swimming, climbing, and more