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About the Role
We are seeking a GCP Infrastructure Engineer to architect, provision, and maintain high-security, scalable cloud environments for financial sector clients. You will implement robust architectures using automation tooling and contemporary cloud delivery methodologies, working directly with cross-functional stakeholders.
Responsibilities
- Design, build, and maintain scalable data platforms on Google Cloud Platform for financial sector clients.
- Develop and optimize batch and streaming data pipelines using services such as Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
- Architect data lake, data warehouse, and lakehouse solutions, including data modeling and performance tuning in BigQuery.
- Provision and manage data infrastructure using Terraform and CI/CD pipelines.
- Implement data governance, lineage, quality, and cataloging frameworks to meet regulatory and client requirements.
- Apply security best practices across data environments, including IAM, encryption, KMS, data masking, and access controls.
- Monitor, troubleshoot, and resolve platform performance, reliability, and data quality issues.
- Collaborate with client teams, architects, and internal stakeholders to translate business needs into technical solutions.
- Mentor engineers, contribute to technical standards, and promote DataOps and engineering best practices across the team.
- Communicate architecture decisions, progress, and analysis clearly to technical and non-technical audiences.
Requirements
- 7+ years of experience in data engineering or data platform engineering, with at least 3 years in a senior or lead capacity.
- Strong hands-on experience building and operating data platforms on GCP.
- Working experience with GCP data services such as BigQuery, Dataflow, Dataproc, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Bigtable, and Cloud SQL.
- Proficiency in Python and SQL, with experience in Spark or Apache Beam.
- Experience designing data warehouse and data lake architectures, including data modeling.
- Working experience with Terraform and CI/CD tooling such as Jenkins, GitHub, or Cloud Build.
- Strong understanding of data security in regulated environments.
- Strong knowledge of DevOps/DataOps and Agile delivery practices.
- Excellent written and verbal communication skills.
- Strong analytical, debugging, and problem-solving skills.
- GCP Professional Data Engineer or Professional Cloud Architect certification.
- Experience in banking, insurance, or other regulated financial services environments.
- Experience with data governance and quality tools such as Dataplex, Data Catalog, dbt, or Great Expectations.
- Experience with containerization and orchestration (Docker, Kubernetes/GKE).
- Exposure to other data platforms such as Snowflake, Databricks, or Kafka.
- Experience supporting AI/ML workloads or Vertex AI pipelines.
Skills
- GCP
- Data Engineering
- Data Platform Engineering
- BigQuery
- Dataflow
- Dataproc
- Cloud Composer
- Pub/Sub
- Cloud Storage
- Bigtable
- Cloud SQL
- Python
- SQL
- Spark
- Apache Beam
- Data Warehouse Architecture
- Data Lake Architecture
- Data Modeling
- Terraform
- CI/CD
- Jenkins
- GitHub
- Cloud Build
- Data Security
- DevOps
- DataOps
- Agile Delivery
- Communication
- Analytical Skills
- Debugging
- Problem-Solving
- GCP Professional Data Engineer
- GCP Professional Cloud Architect
- Banking
- Insurance
- Financial Services
- Dataplex
- Data Catalog
- dbt
- Great Expectations
- Docker
- Kubernetes
- GKE
- Snowflake
- Databricks
- Kafka
- AI/ML
- Vertex AI
Location
- Great Britain
Work Type
- Full-time
Experience Level
- Senior
- Lead
About the Company
- Bits In Glass (BIG) operates as a rapidly expanding AI and automation consultancy, maintaining presence throughout Canada, the United States, India, and Great Britain.
- The firm's technical scope encompasses over ten primary platforms across artificial intelligence, cloud infrastructure, data management, automation solutions, and enterprise software.
- Honoured internationally as a Great Place to Work and recipient of various partner achievement awards, BIG emphasizes team collaboration, technological innovation, and tangible client outcomes.
- Our staff consists of skilled engineering professionals dedicated to tackling difficult technical problems, driving joint success, and guiding enterprise organizations through digital transformation with certainty.