Описание:
Brainlabs is an independent, founder-led media agency that combines people and AI agents to maximize client revenue through a scientific approach to media. It operates globally with more than 1000 employees and serves the world's biggest brands.
Задачи:
- Build and maintain integrations that move operating system data into the data warehouse
- Push data warehouse data back into operating systems to create complete workflows and data lifecycles
- Debug data discrepancies across source systems and downstream tools, identify their causes, and automate solutions to prevent recurring issues
- Own HubSpot or a comparable CRM as a system of record, including properties, associations, lifecycle stages, automation, data quality, deduplication, and governance at scale
- Work closely with finance, operations, and other business support teams, translating technical decisions into actionable terms for non-technical stakeholders
- Ensure data moves between systems reliably and accurately at scale
- Keep systems clean at scale as volume grows
- Catch and fix data discrepancies at the source
- Deliver trusted numbers for finance, operations, and other business teams
- Ship new integrations and automations with documentation and clear guidance
- Balance rapid delivery with long-term architecture and explain trade-offs to non-technical stakeholders in plain terms
Требования:
- Deep experience managing data structures such as objects, properties, associations, lifecycle stages, and automation
- Strong data quality and governance practices, including deduplication, enrichment, validation, access controls, and auditability
- Ability to turn a non-technical brief into a complete plan and build it
- Ability to explain technical solutions to non-technical stakeholders without jargon
- Experience working in fast-moving rollouts while balancing speed with long-term architecture
- Experience building sync logic using canonical IDs, upserts, change detection, and idempotent reruns
- Experience building ETL/ELT pipelines that avoid duplicating or corrupting data across repeated runs
- Experience integrating data into BigQuery, Snowflake, or similar warehouses through API-based integrations, including reverse ETL into business systems
- Strong Python or similar programming language and SQL skills for automation, data movement, transformation, and validation
- Confidence with REST APIs, including authentication, pagination, rate limits, retries, and error handling
- Experience with GCP tooling such as Cloud Run, Cloud Scheduler, Secret Manager, BigQuery, and GitHub Actions
- Ability to debug data discrepancies across source systems and downstream tools
- Good version control hygiene with GitHub or similar
Условия:
Office-centric culture with around 3 days per week in the office expected for the majority of roles.
Equal opportunity workplace with support for accommodation during the application process.
#J-18808-Ljbffr
data analyst in advertising employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
