Senior Data Engineer II - Scalable Growth

Wise
London
Workplace: HybridFull timeGBP 87,500 - 145,000 annuallyFunction: Marketing & GrowthSkills: ["Mentoring","Communication","Resilience","Scalability","Problem-solving"]

Own scalable data architecture for Wise’s Scalable Growth team, partnering with Marketing Platform and analytics leads to elevate streaming and batch pipelines. Drive resilience and monitoring across the data ecosystem using Python, dbt, Airflow, Kafka, and Trino/Iceberg, and productionize prototypes for a unified customer view. Bridge engineering and analytics through clear ingestion and transformation standards, and mentor engineers through code reviews and architectural guidance.

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FursaFursa
Wise
Wise
2 days ago

Senior Data Engineer II - Scalable Growth

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Own scalable data architecture for Wise’s Scalable Growth team, partnering with Marketing Platform and analytics leads to elevate streaming and batch pipelines. Drive resilience and monitoring across the data ecosystem using Python, dbt, Airflow, Kafka, and Trino/Iceberg, and productionize prototypes for a unified customer view. Bridge engineering and analytics through clear ingestion and transformation standards, and mentor engineers through code reviews and architectural guidance.
Location: London
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Marketing & Growth
Seniority: Mid level

Key Responsibilities

  • •Audit and elevate existing data pipelines and streaming architectures, establishing monitoring, reliability, and scaling best practices across the data ecosystem.
  • •Productionize proof-of-concepts into scalable Airflow/dbt workflows to lay groundwork for Customer Data Platform (CDP) datasets.
  • •Define standards for data ingestion, cleansing, and transformation to bridge engineering and analytics engineering boundaries.
  • •Bring ownership of MarTech infrastructure in-house by building end-to-end solutions for systems such as Braze and HighTouch reverse ETL.
  • •Scope ambiguous technical problems, propose architectural designs, and build engineering roadmaps; mentor engineers via code reviews and hands-on guidance.

Pay and Benefits

Salary: GBP 87,500 - 145,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Advanced proficiency in Python and proven experience architecting, deploying, and maintaining big data and streaming/batch pipelines (e.g., Kafka Streams, Trino, Iceberg).
  • •Hands-on experience using dbt for scalable data transformations and Airflow for workflow orchestration.
  • •Strong background in designing scalable, fault-tolerant data architectures, implementing data quality frameworks, and establishing production best practices.
  • •Ability to scope complex, ambiguous problem spaces end-to-end—uncovering requirements and driving solutions to delivery.
  • •Excellent communication skills to bridge technical, marketing, and analytics stakeholders and translate needs into engineering roadmaps.
Experience:FintechData engineeringStreamingMarketing technology
Skills:MentoringCommunicationResilienceScalabilityProblem-solving
Languages:English
Tech Stack:PythonDbtAirflowKafkaKafka StreamsTrinoIcebergAirflow/dbtHighTouchBrazeReverse ETLMetaGoogle

Company Brief

Wise
Wise (formerly TransferWise) is a London-based fintech that provides low-cost international money transfers, multi-currency accounts and payment infrastructure for individuals and businesses worldwide.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 2011
Glassdoor
Glassdoor: 3.8
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