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# AWS Engineer ( Senior 10+ years)

- **Company:** Intuition IT Solutions Ltd
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Audit Trail, Automation of Tests, Unit Testing, Continuous Integration, Data as a Services, Data Governance, Github, Identity and Access Management, Python (Programming Language), Performance Tuning, Role-Based Access Control, SQL Databases, Parquet, Great Expectations (Foster Youth College-readiness and Support Program), Delivery Pipeline, AWS Lambda, Amazon Virtual Private Cloud (VPC), Cloudformation, Pyspark, Data Management, Cloudwatch, Terraform, Serverless Computing
- **Published:** November 4, 2026
- **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-65B978684A3709ABCB/

## About the Role

10+ years building data platforms on AWS; strong Python (incl. PySpark) and SQL.

Hands on with DMS, Kinesis/MSK, Glue/EMR, Lambda, Step Functions/MWAA, S3/Parquet/Iceberg, Glue Catalog, Athena, Redshift/Serverless.

IaC (Terraform) and CI/CD (GitHub Actions).

Data quality frameworks (Great Expectations/Deequ), schema evolution, backfills.

## Description

Summary: You will design, build, and operate secure, reliable, and cost, Ingestion and CDC: Implement pipelines using AWS Lambda, EMR for batch/streaming( future need); manage schema evolution and backfills.

Orchestration: Build workflows with Step Functions and/or MWAA (Airflow), including retries, alerts, and SLAs.

Lakehouse and warehouse: Model datasets on S3 (Parquet/Iceberg), Glue Data Catalog, Athena; partitioning, compaction, and performance tuning.

Data quality and testing: Add automated tests (Great Expectations/Deequ, PySpark unit tests), data contracts, and CI gates.

Security and governance: Implement IAM, KMS, VPC endpoints, Lake Formation policies, PII handling, audit trails (CloudTrail), and RBAC/RLS.

Observability and FinOps: CloudWatch metrics/alerts, lineage, usage dashboards; cost optimisation (S3 lifecycle, compression, job sizing).

CI/CD and IaC: Provision with Terraform/CloudFormation/CDK; build pipelines with GitHub Actions; environment promotion and rollbacks.

Documentation and runbooks: Maintain pipeline diagrams, SLAs/SLOs, and incident playbooks.

Adoption: be able to adopt capabilities from other teams instead of building duplicate capabilities and be able to contribute back to community.

Outcomes (first 60-90 days)

Productionise one end to end pipeline with tests, monitoring, and alerting.

Establish governance baseline (Lake Formation, tagging/classification, encryption) and data contracts for two key sources.

Stand up CI/CD and IaC for data services; reduce at least one cost driver via storage/compute optimisation.