Senior Data Engineer — Build Scalable Data Pipelines

73 Strings SAS; Greater London; On-site; GBP 110,000 - 150,000; Full time

Job summary

73 Strings SAS in London is seeking a Senior Data Engineer to build and operate the pipelines, integrations and warehouse that support valuation and monitoring. You will own production pipelines from source capture through transformation, reconciliation and client delivery, and put them under GitHub, automated test and CI/CD.

The platform currently captures change data from relational systems, processes it on Azure Databricks, and delivers it to Snowflake, Microsoft SQL Server and Databricks.

Qualifications

• 10+ years in data engineering on production systems.
• Snowflake or Databricks as a primary platform, including modelling and tuning.
• Python and SQL for pipeline development and testing.
• Change data capture and event processing, including ordering and schema changes.
• Azure, including Databricks, ADLS and private network connectivity.
• GitHub and CI/CD for data workloads, using GitHub Actions or equivalent.
• Data quality, reconciliation, monitoring and production incident response.
• Experience building multi-tenant, secure data platforms with proper isolation.

Responsibilities

• Help redefine the platform’s architecture across ingestion, processing and delivery.
• Build and operate batch and streaming pipelines from databases, APIs and streams.
• Implement change data capture and incremental load including deletes and replays.
• Create medallion datasets and dimensional models for Snowflake/Databricks/MS SQL.
• Apply data contracts, reconciliation and row-level quarantine before publication.
• Own the GitHub workflow and CI/CD, including tests and deployment as code.
• Investigate production data failures and translate requirements into pipelines.

Skills

Python

SQL

Data modelling

Azure Databricks

Snowflake

CI/CD

GitHub

Batch/Streaming pipelines

Change data capture

Data quality

Education

Bachelor's degree in Computer Science

Tools

GitHub Actions

Airflow

Kafka Connect

Databricks

Snowflake tooling

Job description

73 Strings SAS in London is seeking a Senior Data Engineer to build and operate the pipelines, integrations and warehouse that support valuation and monitoring. You will own production pipelines from source capture through transformation, reconciliation and client delivery, and put them under GitHub, automated test and CI/CD.

The platform currently captures change data from relational systems, processes it on Azure Databricks, and delivers it to Snowflake, Microsoft SQL Server and Databricks.