Senior Data Engineer

Why This Role Matters

We arent just moving data; we are building an agentic data integration platform. These are systems that dont just execute scripts they understand validate and adapt how marketing data is ingested modeled and exposed.

As a Senior Data Engineer at Funnel you will build the foundation that powers autonomous intelligent systems. Your work directly shapes how AI agents reason about schemas metrics and customer intent at scale across hundreds of APIs and thousands of tenants. We are turning traditional ETL into a self-evolving ecosystem that makes informed explainable decisions.

One Vision Two Domains

We are currently looking for Senior Data Engineers to apply this agentic approach to different parts of our ecosystem. While the core tech stack and agentic philosophy are shared the focus of your impact differs:

1. Agentic Data Integration (External Impact)

• The Focus: You will build the engine that powers the Funnel product for our customers.

• The Goal: Designing integration systems that can autonomously infer structure from raw API data and adapt logic as upstream sources change. You are building the brain that enables thousands of global brands to trust their marketing data without manual intervention.

2. Internal Data & Analytics (Business Impact)

• The Focus: You will create the scalable high-quality data layer that supports Funnels internal teams like Marketing RevOps and Sales.

• The Goal: Building a world-class internal lakehouse where agentic solutions reason about our own business metrics. You will turn internal data engineering into a system that provides self-service explainable insights for our own growth.

What You Will Do

• Design semantic models: Evolve data models that are readable by both humans and autonomous agents ensuring raw data is transformed into trustworthy analytics-ready datasets.

• Build adaptive systems: Create pipelines that reason about API data detect inconsistencies and self-correct when upstream schemas shift.

• Turn the practical know-how of senior engineers into logic that systems can use to make smart reliable decisions.

• Enable feedback loops: Build mechanisms where the system improves by learning from past errors and observing how users actually interact with the data.

• Define data contracts: Establish clear boundaries for how data is transformed ensuring downstream teams (and agents) have 100% confidence in the output.

Skills & Experience Were Looking For

• 5 years of professional experience.

• Strong proficiency in Python and data frame libraries such as Pandas Polars or similar.

• Hands-on experience with modern table formats (e.g. Apache Iceberg Delta Lake or Hudi) including schema evolution and partitioning strategies.

• Experience working with S3-based lakehouse architectures and tools such as Spark Flink or Trino along with columnar data formats like Parquet or Arrow.

• Solid foundation in data warehouse modeling techniques and data contract enforcement.

• Exposure to or strong interest in LLM-driven transformations semantic layers and AI-assisted data workflows.

Location & Eligibility

At this time we can only consider applicants who are already based in Stockholm and meet one of the following criteria:

• Hold Swedish citizenship

• Hold EU/EEA citizenship and are currently living in Stockholm

• Have a valid Swedish work permit

Office-first

At Funnel we have an office-first approach and we work from the office four days a week. We have lots of flexibility for when life happens during the summer through the holidays. We just like to avoid having standing remote days.

PLEASE NOTE: At this time we are not in a position to hire new graduates or interns for this role.