Mitek Systems

Mitek Systems

Mitek Systems develops and provides mobile capture and identity verification software solutions that enable enterprises to securely verify user identities and facilitate transactions through mobile devices, enhancing customer experiences while preventi...

Communications Equipment
251-1K
Founded 1985

Description

  • Partner with product managers, data analysts, software engineers, and business stakeholders to deliver data solutions.
  • Optimize and maintain OLTP databases to ensure reliability, performance, and production readiness.
  • Audit existing systems and remediate data quality issues in legacy pipelines and databases.
  • Design and implement scalable data architectures, including batch and streaming pipelines.
  • Build and maintain data pipelines, enterprise reporting, and datasets for analytics and machine learning use cases.
  • Apply best practices for schema design, indexing, query optimization, and partitioning.
  • Design performance testing and release validation frameworks to prevent regressions and protect data integrity.
  • Establish production processes for monitoring, alerting, backup and recovery, access controls, and incident response.
  • Support data reliability through benchmarking, regression testing, and automated testing pipelines.
  • Improve observability and operational practices across data systems.

Requirements

  • Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field.
  • 5+ years of experience as a Database Engineer, Data Engineer, or in a similar role.
  • Hands-on experience with high-performance, scalable OLTP systems.
  • Advanced SQL experience, including PostgreSQL and Snowflake.
  • Strong experience with data modeling, data warehouses, and lakehouse architectures.
  • Experience building ELT pipelines with dbt and Snowflake.
  • Intermediate to advanced Python development skills.
  • Experience with database performance tuning, including indexing, query optimization, partitioning, and data quality remediation.
  • Strong understanding of database internals and transactional systems.
  • Experience implementing backup, recovery, and high-availability strategies.
  • Experience designing performance or load testing frameworks for data systems.
  • Knowledge of benchmarking, regression testing, and release validation processes.
  • Experience with monitoring, alerting, incident response, and observability practices.
  • Experience with AWS data technologies such as Glue, Kinesis, and Lambda.
  • Experience with Airflow and Terraform.
  • Understanding of the software development lifecycle.
  • Preferred: experience with CI/CD pipelines for data systems.
  • Preferred: experience with Docker and Kubernetes.
  • Preferred: knowledge of encryption, anonymization, and tokenization.
  • Preferred: experience with open table formats and data catalogs.
  • Preferred: familiarity with data observability tools such as Monte Carlo, Datadog, or Prometheus.

Benefits

  • Competitive salary of £70,000 to £110,000 per year.
  • Remote work arrangement.
  • Opportunity to work in a full-time role.
  • Salary range aligned to industry standards, with compensation adjusted for experience and location.

Interested in this position?

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