Leadfeeder
SaaS
SeniorDataEngineer
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“Senior Data Engineer at Leadfeeder. Skills: Data Pipelines, Streaming Systems, Cloud Infrastructure, Python. Design, build, and operate production data pipelines. Build and maintain streaming and real-time ingestion systems”
What You'll Achieve.
deliver datasets and pipelines that power product-facing features and AI/ML workflows; issues are caught early; incidents are short; downstream teams can trust the data; translate product requirements into scalable, well-documented data systems
Industry & Context.
Be physically located within Europe
What They're Looking For.
Must Have
10+ years of hands-on experience in data and/or software engineering, production-grade Python, SQL, code review, testing, CI/CD, operational ownership, AWS (S3, Kinesis/MSK, Lambda, ECS/EKS, IAM, networking), infrastructure-as-code (Terraform, CDK, or similar), streaming or real-time data ingestion (Kafka, Kinesis, Flink, Spark Streaming, or similar), modern data warehouse / lakehouse technologies (Snowflake, BigQuery, Redshift, Databricks, Athena or similar), data transformation tooling, particularly dbt, building and operating distributed data systems at scale, data quality and observability tooling and practices (Great Expectations, dbt tests, Monte Carlo, or similar), enabling AI/ML workloads on top of production data, communication skills in English, both written and verbal, comfortable working in a fully remote environment, physically located within Europe
Nice to Have
data cataloguing tools, data contracts frameworks, data mesh principles, B2B SaaS, intent data, web event data, CRM, product analytics, billing, support tooling
What You'll Do.
and operate production data pipelines
Build and maintain streaming and real-time ingestion systems
Own the cloud infrastructure underpinning the pipelines
Collaborate with product and ML engineers
Implement data quality
and reliability controls
Drive engineering practices across the team
Partner with engineering
How You'll Work.
Team & Collaboration
Collaborate with product and ML engineers; Partner with engineering, product, and ML teams; collaborate effectively with engineering, product, and non-engineering stakeholders
Communication Scope
English, both written and verbal
Full Job Description
Leadfeeder turns B2B websites into lead generation engines. Every day, potential buyers visit your website and leave without filling out a form. Leadfeeder reveals which companies are behind that traffic, shows what they care about, and helps teams act while interest is high. By connecting website behavior with company data, intent signals, and automated workflows, Leadfeeder helps marketing and sales teams prioritise the right accounts and turn anonymous traffic into qualified pipeline. We're a remote-first, international team building the next generation of lead generation technology for B2B marketers. Join us and help redefine how B2B companies generate leads from the signals already happening on their website. **The Role** We are looking for a Senior Data Engineer to join our Platform Data team and take a leading role in our production data pipelines — the systems that power Leadfeeder's product experience, from ingesting and enriching web visit signals to delivering intent data and account intelligence to customers in near real time. This is a deeply technical, engineering-led role focused on the production data layer — the pipelines, streaming infrastructure, and cloud systems that turn raw signal into product. Reliability, scale, and engineering quality are the bar. The platform you build is what customers experience every day. You will work closely with product and engineering teams to design, build, and operate the pipelines, streaming systems, and cloud infrastructure that move data through Leadfeeder at scale. You will shape how we ingest, process, enrich, and serve production data — defining the standards, tooling, and architecture that make our data platform a competitive advantage. **Responsibilities:** * Design, build, and operate production data pipelines that power Leadfeeder's product features — from ingestion through enrichment, processing, and serving. * Build and maintain streaming and real-time ingestion systems that move event data through the
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