Bridge

Senior Data Engineer

Bridge

full-time

Posted on:

Location Type: Hybrid

Location: Edinburgh • United Kingdom

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Job Level

Senior

Tech Stack

AirflowAmazon RedshiftAWSJavaKafkaPostgresPythonSparkSQLTerraform

About the role

  • Design and ship a tiered data platform that supports multiple latency needs.
  • Build and own end-to-end ingestion patterns across batch, micro batch, and selected near real time use cases.
  • Implement schema evolution, data contracts, and approaches for late arriving and corrected data.
  • Treat curated datasets as products that are well defined, documented, reliable, and safe to use.
  • Set platform standards for idempotent ingestion, deduplication, data quality, lineage, and observability.
  • Ensure the platform meets regulated fintech & payments expectations for access control, security, and governance.
  • Partner with Product and Engineering on event and domain modelling.
  • Support Data Science with reliable feature ready datasets and pragmatic collaboration.
  • Evolve the current lightweight tooling into a more observable, structured platform.
  • Automate data infrastructure and workflows using infrastructure as code and CI CD practices.

Requirements

  • Proven experience designing, building, and operating production grade data pipelines and platforms.
  • Strong SQL, specifically PostgreSQL, plus at least one programming language such as Python or Java.
  • Experience with data processing or orchestration tooling such as Spark, Airflow, or Kafka.
  • Experience designing data models for analytics and reporting workloads.
  • Practical knowledge of data quality, testing, observability, lineage, and governance patterns.
  • Strong experience with AWS based data platforms, with hands on use of services like S3, Glue, Athena, Redshift, Kinesis, EMR, or MSK.
  • Infrastructure as code experience using Terraform or CloudFormation, and comfort operating systems in production.
  • Ability to collaborate across Engineering, Product, Analytics, and Data Science, and drive standards through influence.
Benefits
  • Flexible, remote-first working
  • 33 days holiday, including public holidays
  • Birthday off
  • Family healthcare
  • Life insurance
  • Employee assistance programme
  • Investment in learning and development
  • Regular team events and off-sites
  • A collaborative culture where documentation is treated as a first-class product
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data pipelinesdata platformsSQLPostgreSQLPythonJavadata processingdata orchestrationdata modelsinfrastructure as code
Soft Skills
collaborationinfluence