Senior Data Engineer, Parloa
Internal Platform
AI agent management platform
Open for applications
AI agent management platform
501-1000 employees
Open for applications
501-1000 employees
Company mission
To help companies create outstanding customer conversations with AI because people deserve great customer service.
Role
Who you are
- Experience designing data layers that power AI/LLM-based applications and agentic workflows
- Proficiency in Python, SQL, ETL/ELT tools, and MLOps
- Knowledge of dimensional modeling and modern data warehouse technologies
- Ability to comprehend and execute on complex requirements and resolve performance issues
- Ability to articulate complex technical concepts to non-engineering audiences, making data architecture decisions and trade-offs understandable for leadership and cross-functional stakeholders
- Passion for staying updated and driving innovation in data engineering
- Ability to define and instrument Al adoption KPls: usage tracking, proficiency distribution, and business impact metrics
- Understanding of how Al tools consume data – context windows, retrieval patterns, embedding pipelines – and how to optimise data access for
What the job involves
- As Senior Data Engineer – Internal Platform, you will build and own the data infrastructure that powers Parloa's internal AI transformation
- Today, business-critical data lives across dozens of disconnected tools with no unified way to access it — you'll change that by creating a single, self-serve access layer that gives AI agents and teams the business context they need to operate.
- Working closely with the AI Transformation Team and stakeholders across the non-engineering organization, you'll also define the KPIs and dashboards leadership uses to track AI adoption and impact
- Data Platform Infrastructure: Own the Internal-facing Databricks workspace end-to-end: configuration, compute, access controls, and cost management
- Ingestion Pipelines: Build and maintain Airbyte pipelines that pull data from Salesforce, Gong, HRIS, finance systems, and other tools on automated schedules
- Data Modeling & Transformation: Implement the architecture that turns raw data into clean, trusted, analysis-ready datasets
- AI Data Enablement: Partner with the AI Transformation Team to ensure AI agents and LLM workflows get the right data in the right format
- AI Adoption Measurement: Define and build the KPIs and dashboards that track AI usage, proficiency, and business impact across the company
- Data Governance & Compliance: Own data classification, access policies, GDPR/DPA compliance, and pipeline monitoring
Application process
- Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser
Our take
There is an inherent lack of efficiency in many call centres. This not only creates irritation for customers and negative experiences for agents but, as a result, it harms a company’s reputation whilst generating high costs for businesses.
On a mission to put an end to the madness of a call centre, Berlin-based Parloa offers a conversation AI platform that is changing the way businesses communicate with their customers. Using artificial intelligence, Parloa provides unique solutions for companies that makes their specific service smarter.
The company has attracted impressive funding, most recently in 2025, following a tripling of its revenue growth and a 2023 entry into the US market. This investment will be used to scale its operations across the US and EU and will support its product enhancement initiatives.
Steph
Company Specialist at Welcome to the Jungle
Insights
140% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2026
$350m
SERIES D
May 2025
$120m
SERIES C
Total funding: $568.1m
Company HQ
Kollwitzkiez, Berlin, Germany
Leadership
Malte Kosub
(Co-Founder & CEO)Previous co-founder and Managing Director for both Future of Voice and Wandnotiz.
Salary benchmarks
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