Senior Data Engineer, Platform Data

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 platform at scale and with low latency.
Own the cloud infrastructure underpinning the pipelines — compute, storage, networking, security, observability — designed and managed as code.
Collaborate with product and ML engineers to deliver datasets and pipelines that power product-facing features and AI/ML workflows.
Implement data quality, observability, and reliability controls across the pipelines so issues are caught early, incidents are short, and downstream teams can trust the data.
Drive engineering practices across the team: code review, testing, CI/CD for data, infrastructure-as-code, performance tuning, and cost discipline.
Partner with engineering, product, and ML teams to translate product requirements into scalable, well-documented data systems.

About Leadfeeder

Leadfeeder is a remote-first company offering a go-to-market platform for Europe, aiming to provide businesses with data and insights to win leads and grow revenue. They are currently hiring for various roles across Revenue and R&D departments, including Account Executives, Sales Development Representatives, and Senior Data Engineers. Their hiring process typically includes a screening call, skills interview, take-home assignment, and a culture interview. Leadfeeder offers benefits such as a 4-day workweek, flexible hours, mental health support, wellbeing allowance, parental leave, home office stipend, savings plan match, retirement plan, health insurance, sabbaticals, learning budget, anniversary rewards, software budget, family planning support, disability insurance, life insurance, personal development stipend, bonuses, equity/stock options, internet/phone allowance, co-working space allowance, company retreats, 401K plan, unlimited vacation, dental insurance, free books, visa sponsorship, accident insurance, health savings account, flexible spending account, bereavement leave, pension plan, vision insurance, and tech stipend. They provide visa sponsorship and have an unlimited vacation policy. Their compensation philosophy emphasizes flexibility and work-life balance, with a remote-first approach and a focus on employee well-being. They do not publicly disclose salary ranges. Their hiring process includes Initial Application Screening, Recruiter Interview, Technical Interview, and Culture Fit Interview. They do not mention offering paid assessments. They have an established DEI program, as indicated by their emphasis on diverse perspectives and inclusive culture. Their PTO policy includes unlimited vacation. The company is ISO 27001 and 27701 certified, ensuring high data security standards. They are based in Europe and operate remotely, with no specific office location mentioned.