Job
- Level
- Lead
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you will develop a centralized data infrastructure that integrates data from various sources and efficiently supports AI applications while defining KPIs and dashboards for AI usage and impact.
Job Technologies
Your role in the team
- As Lead 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.
- Own the Internal-facing Databricks workspace end-to-end: configuration, compute, access controls, and cost management.
- Build and maintain Airbyte pipelines that pull data from Salesforce, Gong, HRIS, finance systems, and other tools on automated schedules.
- Implement the architecture that turns raw data into clean, trusted, analysis-ready datasets.
- Partner with the AI Transformation Team to ensure AI agents and LLM workflows get the right data in the right format.
- Define and build the KPIs and dashboards that track AI usage, proficiency, and business impact across the company.
- Own data classification, access policies, GDPR/DPA compliance, and pipeline monitoring.
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Our expectations of you
Qualifications
- 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 AI adoption KPIs: usage tracking, proficiency distribution, and business impact metrics.
- Understanding of how AI tools consume data - context windows, retrieval patterns, embedding pipelines - and how to optimise data access for.
Experience
- Experience designing data layers that power AI/LLM-based applications and agentic workflows.
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What we offer
- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data.
- All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Parloa Gmbh
Parloa GmbH, a tech company based in Berlin, provides support to enterprise clients looking to scale AI agents for natural customer conversations with its AI Agent Management Platform AMP. The company serves global brands such as Allianz, Booking.com, SAP, and Swiss Life, enabling over a billion customer interactions. With offices in Berlin, Munich, and New York, Parloa employs around 350 staff and is expanding internationally.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Lead Data Engineer
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
