Founding Senior Data Engineer - Public Real Estate Auction Intelligence Pipeline

Part-time · Remote · Flexible · ESOP / Stock Options Only

VendueTech Ltd.

At VendueTech, we are building the data and AI infrastructure powering the future of public real estate auctions.

We transform fragmented legal, financial, and government data into structured, real-time intelligence that helps customers make faster, smarter decisions. Our goal is to build the data backbone for public real estate auction intelligence across markets, combining large-scale data engineering, AI-driven extraction, and product delivery into one scalable platform.

This is an exciting time to join. VendueTech has already secured a Eurostars R&D grant, and we are currently progressing through the EIC Accelerator long proposal process. For the right person, this creates meaningful upside: the opportunity to contribute at an early stage, shape core infrastructure, and participate in long-term value creation through the VendueTech Ltd. ESOP stock options program.

We are looking for a Founding Senior Data Engineer to help design and build the core data platform behind VendueTech’s AI-driven auction intelligence pipeline.

This is a highly strategic and foundational role. You will shape how data flows through the platform and directly influence the capabilities of current and future VendueTech products.

This is a part-time, fully remote, and highly flexible opportunity, designed for experienced engineers who want to contribute alongside their current work, consulting, startup, or academic commitments. The role is currently structured as equity-only, through participation in the VendueTech Ltd. ESOP program.

Our platform aggregates public real estate auction data across multiple countries and transforms it into actionable intelligence. You will work at the intersection of data engineering, AI, analytics, and product development to build a robust and scalable data backbone for cross-border auction intelligence.

• Design and build scalable ETL / ELT pipelines for ingesting structured and unstructured data from public, legal, and government sources

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• Build AI-native data pipelines where LLMs extract and normalize structured auction data from noisy, incomplete, and multilingual inputs
• Design and implement human-in-the-loop workflows that route low-confidence outputs to reviewers, capture corrections, and create continuous feedback loops for model and data quality improvement
• Help create a self-improving data flywheel in which reviewer feedback, operational learnings, and user signals continuously improve extraction accuracy and data quality
• Architect and evolve the company’s data lake and data warehouse to support analytics, machine learning, internal tooling, and customer-facing APIs
• Define canonical data models for auctions, properties, legal events, and transactions across multiple jurisdictions
• Build and maintain ML-ready datasets and data layers for downstream use cases such as predictive pricing, risk scoring, and recommendation systems
• Collaborate closely with AI / NLP engineers, backend engineers, product teams, and domain experts to interpret source data and turn it into scalable systems
• Contribute to API design and customer-facing data delivery layers
• Improve data observability, validation, lineage, reliability, monitoring, and performance across the platform
• Help establish best practices for data architecture, testing, deployment, governance, and documentation in a startup environment

• 5+ years of experience in data engineering, data platform engineering, or similar roles
• Proven experience designing and building scalable production-grade data pipelines and data models
• Strong SQL skills and solid Python experience for data engineering workflows
• Hands-on experience with data processing frameworks such as Apache Spark, PySpark, Pandas, or similar tools
• Experience working with PostgreSQL, data lakes, and data warehouses
• Experience building real-time or near-real-time data pipelines using Apache Kafka or similar streaming technologies
• Strong understanding of distributed systems, pipeline orchestration, reliability, and performance tuning
• Familiarity with machine learning workflows and the data requirements needed to support AI / ML systems in production
• Strong problem-solving skills and the ability to work independently in a remote environment
• Good communication skills and the ability to collaborate across technical and non-technical teams

• Experience with web scraping or public-data ingestion pipelines
• Experience with NLP pipelines, LLM-based extraction, or AI-assisted document and data processing
• Familiarity with real estate, legal-tech, fintech, or public-sector datasets
• Familiarity with FastAPI, microservices, Terraform, and infrastructure-as-code practices
• Startup experience, especially building 0→1 systems
• Experience designing QA, review, or feedback-loop systems for AI / LLM outputs
• Familiarity with BI, dashboarding, and observability tools such as Apache Superset, Grafana, and Kibana

• A part-time role with flexibility around your existing commitments
• A fully remote setup
• A flexible working model focused on outcomes and contribution rather than fixed hours
• Participation in the VendueTech Ltd. ESOP stock options program
• The chance to help build a high-impact data and AI platform from an early stage
• Direct collaboration with a multidisciplinary team across AI, engineering, product, and business
• Meaningful ownership in shaping the core infrastructure of the company
• The opportunity to join at a stage where the company has already achieved important external validation, with substantial room for future upside

This role is currently structured as an equity-only opportunity through stock options under the VendueTech Ltd. ESOP program. It is best suited for someone who believes in the long-term vision, wants meaningful upside, and is excited to help build foundational technology in an early-stage startup environment.

• VendueTech is building infrastructure for a large and fragmented market where high-quality data is difficult to access, normalize, and operationalize. By joining now, you will have the opportunity to influence core architectural decisions, work on technically ambitious AI and data challenges, and contribute to a company building long-term value in the real estate intelligence space.