Deliver scalable data infrastructure for automated workflows, design data warehouse schemas, and create dashboards for stakeholders in finance.
Delivering scalable data infrastructure that transforms manual financial and actuarial processes into automated, auditable workflows. To deliver robust, scalable backend systems and data infrastructure that power automated data pipelines and dashboards for our global life reinsurance client in Bermuda.
Hands on Experience:
- Designing and implementing data warehouse schemas in cloud environments (BigQuery preferred)
- Building reconciliation and data quality frameworks for financial data
- Creating dashboards and data visualisations for business stakeholders
- Working with financial instrument identifiers (ISIN, CUSIP), rating agencies, and cross-system data mapping
Requirements
Must Have Experience:
- 4+ years experience in data engineering or data architecture roles
- Strong SQL skills with experience designing data warehouse schemas (BigQuery, Snowflake, or similar)
- Proven experience with dbt for data transformation workflows
- Asset management or financial markets experience (e.g. investment accounting, fund administration, portfolio management)
- Experience building reconciliation logic and data quality frameworks
- Proficiency with BI tools (Looker, Looker Studio, or similar)
Bonus (the nice to haves):
- Insurance or reinsurance industry experience
- Knowledge of Clearwater, Aladdin, and other finance systems
- Familiarity with regulatory reporting (IFRS 17, BSCR, Solvency II)
- Python proficiency for data processing and automation
- Experience with GCP services (Cloud Storage, Pub/Sub, Cloud Run)
Required Behaviours/Characteristics:
- Curious: Proactively explores problems and technologies; asks good questions
- Hard-working: Delivers reliably and takes ownership of outcomes
- Adaptable: Comfortable with ambiguity and evolving requirements; learns new domains quickly
- Collaborative: Works effectively with data engineers, analysts, and client stakeholders
- Quality-focused: Writes clean, tested, maintainable code
Benefits
- Fully Remote
- Outside IR35
- Long term contract
- £600 - £650/Day
Top Skills
BigQuery
Dbt
GCP
Looker
Python
SQL
Toucanberry Tech London, England Office
London, United Kingdom
Similar Jobs
Insurance
As a Data Engineer, you will design and build data solutions, develop and implement data pipelines, and maintain databases while ensuring adherence to technical standards.
Top Skills:
Azure Data FactoryAzure SynapseEtl TechnologiesPower BIPysparkPythonSQL Server
Machine Learning • Software
As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.
Top Skills:
Aws AuroraAws RdsCeleryDagsterDatabricksDbtDjangoDynamoDBFastapiMongoDBPythonRabbitMQSnowflakeTerraform
Internet of Things
As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.
Top Skills:
AirflowAWSAzureBigQueryDagsterGCPJavaKafkaKinesisPrefectPythonRedshiftScalaSnowflakeSQL
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.


