Workflow Automation Engineer

Company Description

WAA is looking for a Workflow Automation Engineer to own the integration layer across our 5

internal departments. You will design, build, and maintain automated workflows that connect our

internal tools and third-party platforms — eliminating manual effort and improving data reliability

across the business. This is a hands-on technical role: you will work with modern no-code/low-

code platforms, REST APIs, webhooks, and Python scripting to deliver integrations that work

reliably at scale.

WHAT YOU WILL DO

• Build and maintain integration workflows using Make (Integromat), Zapier, or n8n to

connect WAA's internal and third-party tools

• Configure and manage webhooks for real-time data exchange between systems

• Consume and troubleshoot REST APIs; read and write API documentation across JSON

and XML formats

• Map and transform data between disparate systems (JSON ↔ XML ↔ CSV)

• Integrate industry platforms — DAM, PIM, MIS — into agency production workflows

• Connect AI services (OpenAI, Anthropic, Google AI) and productivity tools via APIs

• Write Python scripts to automate data flows and handle integration logic where no-code

tools fall short

• Build ETL pipelines; write SQL queries to validate and manipulate integration data

• Implement error-catching logic, alerting, and monitoring dashboards to ensure uptime

• Apply secure data transfer practices — OAuth, API keys, token management — and

ensure GDPR compliance

• Analyze manual processes across WAA departments and design automated workflows

to replace them

• Produce clear technical documentation: data flows, field mappings, error codes, and

system dependencies

• Manage integration scripts and configs in Git for traceability and rollback.

WHAT WE ARE NOT LOOKING FOR

This role is not for enterprise middleware specialists. Profiles whose experience is exclusively in

MuleSoft, Boomi, or TIBCO are unlikely to be a fit. We need someone comfortable building

lightweight, agile integrations — not large-scale enterprise ESB deployments.