Equals 5

We are looking for a Data / Backend Engineer to architect and scale the core data infrastructure behind our healthcare marketing platform. In this role, you will design high-throughput data systems that process millions of behavioral events, power real-time attribution and user scoring, and enable precise targeting of healthcare professionals across 20+ channels.

You will work at the intersection of data engineering, backend systems, and marketing infrastructure, building scalable pipelines, tracking systems, and APIs that support analytics, segmentation, and campaign activation. The role also involves experimenting with AI-powered automation and agent-based workflows to improve internal operations and product capabilities.

This is a high-ownership position where you will shape architecture decisions, build critical platform components from the ground up, and help evolve our data platform as the company scales.

Responsibilities

- Architect and own data-heavy backend systems powering real-time attribution, user modeling, and scoring

- Build and evolve client-side tracking pixels (like FB pixel / Amplitude snippet / Heap autocapture) from scratch

- Set up and manage scalable ETL workflows: cleaning, merging, enriching, splitting, transforming across millions of behavioral events
Lead the build of CDP / CDXP-style data layers to support segmentation, scoring, and activation across channels

- Connect and compose systems using modern low-code / no-code tools (n8n) to accelerate ops

- Implement and maintain high-availability APIs for analytics, scoring, and campaign delivery

- Drive experimentation around AI-powered agents and automation tools that can boost internal workflows

Requirements

- System Design & Data Architecture:
Designs scalable, event-driven data platforms with strong decoupling, fault tolerance, and horizontal scalability. Builds real-time and batch pipelines using lakehouse architectures and streaming systems (Kafka / PubSub).

- Distributed Data Processing (Spark / BigQuery / Iceberg):
Expert in large-scale data processing, query optimization, and cost-efficient analytics. Deep understanding of Spark execution, partitioning, and modern table formats (Iceberg / Delta).

- Cloud & Infrastructure (GCP / Kubernetes):
Builds resilient cloud-native data platforms on GCP and Kubernetes using IaC, autoscaling, and secure access (IAM, Workload Identity).

- Python Engineering:
Develops high-performance Python services for data and ML workloads with focus on concurrency, clean architecture, and production-grade quality.

- Databases & Performance (PostgreSQL / OLTP):
Optimizes high-throughput OLTP systems through indexing, partitioning, and query analysis (EXPLAIN ANALYZE, MVCC).

- Reliability & Observability (SRE):
Implements resilient data systems with idempotency, retries, observability, SLOs, and incident management.

- AI / LLM Integration:
Integrates LLMs into production pipelines with structured outputs, caching, batching, prompt versioning, and evaluation.

- Workflow Orchestration (Airflow / Dagster):
Designs scalable DAG-based workflows with dependency management, retries, and reproducible backfills.

- CI/CD & DevOps for Data:
Implements safe deployments for data systems including schema migrations, canary releases, and data contracts.

- Ownership & Engineering Maturity:
Owns end-to-end production systems and architecture decisions while balancing delivery speed, quality, and technical debt.

Nice-to-have: 

- Experience in MarTech / AdTech platforms (e.g., DSPs, attribution systems, DMP/CDP tools)

- Deep knowledge of data matching/fingerprinting techniques (identity graphs, IP + UA resolution, hashed PII workflows)

- Strong prompt engineering skills — not just ChatGPT 101, but chaining, system prompting, tooling integration

What We Offer
- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on quality strategy across the entire engineering organization.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

Equals5 helps pharmaceutical companies run precisely targeted ad campaigns on social platforms by identifying healthcare professionals and the consumer signals that reach them. The Identity team builds the data, scoring, and targeting systems that make this possible.

We are looking for a Data Analyst  to join the Identity team at Equals5. This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus 

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

We are looking for a Senior Data Engineer to join the Identity team at Equals5. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.
 

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.
   

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.
   

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.
• Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.
   

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech for both daily coding and product features.
• High-Impact Role: You will directly influence how we identify and score users, impacting the core business logic.
• Cross-functional visibility: Work closely with Product and Tech Leads to shape the future of Identity.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

We're building a product in the AdTech space, where AI is becoming a core part of the platform - from creative automation to advertising performance analytics. We're now forming a new direction: a team that will systematically bring AI solutions into the product and work cross-functionally with other engineering teams.

About the Role

We're looking for an AI Engineer who can become the core of the company's future AI team. This is not a research role, and it's not about training your own models it's about real, hands-on implementation of LLM-based solutions in the product, with a strong focus on product ownership and engineering quality.

You will:

• Implement AI features directly in the product (e.g., AI-powered regeneration of ad creatives, AI scoring of creative performance, analysis of how editors interact with ads)
• Work cross-functionally with other engineering teams, helping to systematize AI usage across the company
• Design and build LLM-based solutions: model API integration, prompt engineering, RAG, AI agents/tooling
• Proactively propose where and how AI can strengthen the product — rather than waiting for a fully defined spec
• Help lay the foundation for a dedicated AI team within the company over time
   

What Matters to Us

• A strong engineering background (backend/full stack), with production development experience — not just notebook experiments
• Hands-on experience integrating LLMs into real products (OpenAI, Anthropic, or similar APIs) — NOT experience training or fine-tuning your own models
• Understanding of prompt engineering, RAG, and building AI agents
• Product ownership: someone who generates their own ideas for how AI can move the product forward, and sees them through to implementation
• A genuine drive to implement solutions, not just conceptualize them

Who This Role Is For

• An engineer who is passionate about not only exploring or discussing AI approaches but also implementing AI solutions directly into production products.
• A professional with a strong engineering foundation who enjoys writing high-quality code and seeing its tangible impact on the product.
• A hands-on engineer who thrives on building and taking ownership rather than managing people. Someone who is eager to take end-to-end responsibility for designing, implementing, and continuously improving their product area.

We are looking for a Team Lead who will take technical ownership of our web platform, a Laravel backend with a Vue.js frontend, and lead a small team of full-stack engineers. You will own the full delivery cycle and make critical architectural decisions across the stack, but your strongest impact will be on the frontend: building polished, intuitive interfaces, improving user flows, and raising the bar on UX quality without waiting for a dedicated designer. You will partner closely with Product to shape what gets built, establish engineering standards, mentor developers, and drive the platform forward through thoughtful refactoring, performance optimization, and incremental modernization of legacy code. This is a high-impact role with cross-team collaboration, fast decision-making, and an AI-first approach to development.
 

Requirements

• 5+ years of full-stack web development experience with a strong frontend focus.
• Expert-level Vue.js 3 skills: Composition API, Pinia, Vue Router, component architecture, and TypeScript.
• Strong eye for UI/UX: ability to critique user flows, spot friction, and ship improvements independently without relying on a designer for every decision.
• Solid Laravel experience: routing, Eloquent, queues, middleware, service providers, testing with PHPUnit/Pest.
• Experience leading a team (2+ people): code reviews, task planning, growing engineers, establishing standards.
• Good understanding of relational database design and PostgreSQL: schema design, migrations, query optimization.
• Experience with REST API design: versioning, error handling, authentication (JWT/OAuth), pagination.
• Product-minded: able to partner with a PM to translate business goals into well-considered interface and architectural decisions, and push back when something doesn't serve the user.
• Familiarity with Docker and CI/CD pipelines.
• Strong affinity for and understanding of how AI tools can aid yourself and the team in development.

Nice to Have

• Experience building or maintaining a design system or component library.
• Proficiency with Figma or similar design tools.
• Experience with GCP or comparable cloud (AWS/Azure) at the service level.
• Knowledge of Vite build tooling, SSR, or micro-frontend patterns.
• Experience with real-time features (WebSockets, broadcasting).
• Familiarity with Pulumi / Terraform for IaC.
• Understanding of healthcare / pharma ad-tech domain.
• Experience with Playwright or Cypress for E2E testing.

Responsibilities

• Own the technical direction of the web platform across frontend and backend, with particular depth on the frontend.
• Lead a team of 2-3 full-stack engineers: code reviews, sprint planning, mentorship, and career development.
• Drive feature delivery end-to-end: from database schema and API design to Vue.js components and user experience.
• Make independent UI/UX decisions day-to-day: improve flows, refine interactions, and raise interface quality without waiting for designer input. Consult with the design resource when needed for larger initiatives.
• Partner with Product to shape requirements, challenge assumptions, and advocate for the user in technical and design decisions.
• Identify and propose refactors based on expertise: recognize when code, architecture, or UX patterns need to evolve and drive those changes.
• Ensure code quality, test coverage, and maintainability across the full stack.
• Design and evolve the REST API layer: versioning, authentication, rate limiting, and documentation.
• Optimize application performance: query tuning, caching strategies, frontend bundle optimization.
• Manage technical debt and drive incremental modernization of legacy code.

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• Influence on the quality assurance strategy across the entire engineering department.
• A cross-team role with visibility into every part of the product.
• AI-first tooling.
• Claude Code licenses and cutting-edge AI development workflows.
• A team with no bureaucracy, decisions are made fast.

We're looking for a Senior Engineer to become the technical owner of our data marketing platform for the Healthcare and Pharma sectors. This is a role with a high degree of autonomy and impact: you'll guide the product from the very first product discussion through to release, working side by side with the Product Lead.

The Product Lead owns the product vision what we build and why. You make all the key technical decisions: you define how it gets built, develop it yourself, and take it all the way to production. You shape the product's technical direction and choose the tools and approaches — with no unnecessary layers of approval or bureaucracy.

AI is part of our process, not a line in a job ad

You'll have a team of AI coding assistants at your disposal (Claude Code, Cursor, Copilot) to delegate routine work to. This lets you focus on what truly matters: architecture, data quality, security, and complex engineering decisions. AI helps you move faster, but you remain the engineer accountable for the quality of every decision that reaches production.

What you'll do

• Make architectural decisions and own the technical implementation end-to-end.
• Build reliable integrations with unstable third-party APIs under real-world conditions.
• Work with data: design structures, optimize queries, and build pipelines.
• Use AI tools daily, critically evaluating and improving their output.
• Partner with the Product Lead to take the product from idea to release.
   

What matters to us

• Strong Full-Stack skills: Laravel and Vue at a production level.
• Comfortable working with data: SQL and solutions like BigQuery or ClickHouse.
• Experience with unstable third-party APIs in production, and an understanding of how to build reliable solutions.
• AI as a everyday tool, not an experiment: you can spot inaccuracies, refine solutions, and design architecture that's better than any auto-generated answer.
• Independence and ownership of outcomes — you're an owner, not just an executor.
   

Nice to have

• Experience in Healthcare / Pharma / MarTech / AdTech.
• Understanding of data privacy and security (GDPR).
• Experience with queues (Redis, RabbitMQ) and marketing-data sources (Google Ads, Meta, GA4).
   

What we offer

• A role with real impact and full technical autonomy.
• Work without bureaucracy or unnecessary approvals.
• A modern, AI-first approach to development.