Data Engineer / Data Platform Engineer – Snowflake, AWS, Kafka/Confluent
*Candidates must be UK based - but can work fully remote*
Certain Advantage are seeking Data Engineers with strong senior-level, hands-on experience in production data-platform engineering, with a platform/DevOps-leaning background.
The purpose of the role is to provide hands-on engineering support for data platform modernization, migration, and reliability efforts.
The role is needed to reduce operational support load, modernize legacy Hadoop/Hive/Airflow workloads, and help move data-platform capabilities toward Snowflake, Confluent, AWS.
Key Responsibilities:
Help migrate infrastructure and data-platform workloads from legacy infrastructure to modern infrastructure.
Help move the data-platform infrastructure and workloads to AWS us-east-2 (USE2), including required connectivity, deployment, and operational prerequisites.
Enable secure, governed accessibility of legacy data to target data-platform consumers and downstream systems.
Modernize the data-platform architecture, tooling, orchestration, storage, and operational practices to align with company standards.
Support Snowflake, Confluent/Kafka, AWS, and data-platform infrastructure migration and operations across stage and production.
Participate in production troubleshooting, incident response, documentation, runbook creation, and cross-team migration coordination.
Use Terraform/IaC, GitLab, monitoring and documented processes to deliver repeatable and auditable changes.
Essential Skills:
Senior-level, hands-on experience in production data-platform engineering, with a platform/DevOps-leaning background and strong data experience.
Strong Python, bash and SQL skills
Production experience with both Snowflake and Confluent/Kafka, with a focus on DevOps and operations. (Deep experience in one and working knowledge of the other is fine, i.e. Deep Snowflake and AWS, with working Kafka knowledge (topics, connectors, schemas), OR
Deep Kafka/Confluent and AWS, with working Snowflake knowledge.
Experience operating or migrating production systems across development, stage and production environments.
Strong troubleshooting, incident-response, testing, documentation and cross-team communication skills.
Experience with least-privilege access, change control, secrets handling and secure operational practices.
The below are “Nice-to-Have” Skills – so don’t forget to highlight any of these!
Apache Spark and Hadoop/Hive/HQL, including modernizing or migrating legacy workloads
Snowpark, dbt alternatives, AWS Glue, Monte Carlo, or other data-quality and catalog tools
Migrating legacy Airflow, Hadoop or Hive workloads to cloud-native or managed platforms
Experience working across a company migration or acquisition and aligning systems to a new organization's standards
Familiarity with Snowflake-to-Iceberg or Snowflake-to-data-lake migration patterns.
Does this sound like your next career move? Apply today!
Working with Certain Advantage
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