Data Engineer (Marketing-oriented) | Remote for Marketing Agency for Education
Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors.
Since launching in ****, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.
Company Overview:
Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors.
Since launching in ****, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.
Your Role:
The Senior Data Engineer sits at the center of the agency's Data and Analytics function, connecting every paid media platform and CRM the agency touches into a single, reliable source of truth.
You'll own the full path data takes: from a client's ad accounts and CRM, through Adverity, into a BigQuery warehouse, through modular dbt/Dataform transformations, and out to the Looker Studio dashboards and automated Google Sheets reports the team and its partners rely on daily.
Reporting to the Data and Analytics Manager, you're joining at a pivotal moment — the agency is scaling its roster of education and nonprofit partners, and this role is instrumental in evolving the automated reporting suite that makes that growth possible without sacrificing data quality or client trust.
You'll:
Own data ingestion & pipeline architecture — connect and maintain API pipelines from paid media platforms (Meta, Google Ads, LinkedIn, TikTok, programmatic) into Adverity, build custom Python connectors for anything not natively supported, and architect scalable pipelines from source system through to dashboard
Own CRM integration — build and maintain reliable CRM data connections (Slate, Salesforce, HubSpot) so lead and enrollment data flows cleanly into the warehouse
Own the data warehouse — route, optimize,



and store raw and processed data in Google BigQuery; design efficient schemas for complex, multi-source marketing data (granularity, normalization, slowly changing dimensions); manage partitioning, clustering, and storage strategy to control query cost and performance
Own transformation & mapping — build SQL schemas that map, blend, and organize multi-channel data accurately for each client, in modular, version-controlled, documented dbt or Dataform pipelines, with standardized naming c), Calypso, or Murex, including scripting, configuration, administration, trade booking, valuations, risk modules, and accounting modulesExperience developing and maintaining platform customizations, scripts, modules, interfaces, and integrations across upstream and downstream trade, market-data, confirmation, settlement, accounting, risk, and reconciliation systemsStrong derivatives domain knowledge of OTC products such as swaps, options, futures, and forwardsEnd-to-end understanding of the derivatives lifecycle — booking, confirmation, valuation, collateral, settlement, accounting, and reconciliation — including lifecycle events such as partial buyouts, corporate actions, and qualified purchasesPractical understanding of valuation, pricing, and risk management, including market data, Greek sensitivities, and volatility surfacesKnowledge of collateral management processes, including cleared swaps, futures margining, and Uncleared Margin Rules (UMR) reconciliationKnowledge of Fixed Income products and marketsTechnical & DevelopmentFull-stack software development expertise, including Java, Spring Boot, and PythonHands-on experience with Docker, Kubernetes, Azure, SQL Server, and DatabricksStrong database and SQL skills for data analysis, troubleshooting,



reporting, and support of the platform's underlying data storesExperience building and supporting enterprise CI/CD pipelinesExperience integrating AI/ML or Generative AI solutions into enterprise applications, including Azure OpenAI, OpenAI APIs, or enterprise copilot developmentMarket Systems & Production SupportExperience with market, trading, and portfolio platforms such as Bloomberg, Reuters, and AladdinExperience supporting production systems, including incident diagnosis, root-cause analysis, and performance optimizationPreferred Skills:Experience with Bloomberg EMSX, FX Connect, MarkitServ, AcadiaSoft, TriOptima, DTCC, or similar market and vendor platform integrationsKnowledge of FpML standards and derivative trade-message processingExperience with repository management, code compilation, CI/CD pipeline automation, and DevSecOps practicesExposure to cloud infrastructure (e.g., Microsoft Azure), Kubernetes/AKS, cloud resilience, disaster recovery, and related controlsUnderstanding of security and access management, including least-privilege provisioning, security groups, access reviews, cryptographic standards, and audit loggingKnowledge of IFRS, US GAAP, or NAIC accounting standards, including hedge accounting, journal entries, and regulatory reportingAwareness of regulatory and operational-resilience expectations (e.g., OSFI B-10, DORA, or equivalent requirements)Professional Skills:Strong written, verbal, and presentation communication skills, with the ability to work effectively with technical and business stakeholders.Collaborative team player who can also work independently with limited supervision.High standards of professionalism, ownership, and quality, with composure during production or delivery-critical situations.Analytical problem solver who can translate complex derivative-processing requirements into reliable technical solutions.Adaptable and open-minded, with a continuous-improvement approach and willingness to propose creative solutions.Bridgenext is an Equal Opportunity Employer#LI-MA1#LI-REMOTE
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📌 Data Engineer (Marketing-Oriented) | Remote For Marketing Agency For Education (Rincón de los Sauces)
🏢 Bridgenext
📍 Rincón de los Sauces