Senior Data Platform Engineer

Bits In Glass

. Design, build, and maintain scalable data platforms on Google Cloud Platform for financial sector clients .

Posted 10/6/2026contractLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data platforms on Google Cloud Platform, with a strong focus on data governance, security, and performance optimization. Proficient in building data pipelines and architectures while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Google Cloud PlatformData EngineeringBigQueryDataflowTerraform

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData ModelingData Warehouse ArchitectureData Lake ArchitectureBatch and Streaming Data PipelinesDevOps/DataOpsAgile Delivery PracticesDebuggingProblem-Solving

Soft Skills

Excellent Communication SkillsMentoringCollaboration

Tools & Technologies

Cloud ComposerPub/SubCloud StorageBigtableCloud SQLJenkinsGitHubCloud BuildDockerKubernetes

Certifications & Qualifications

GCP Professional Data EngineerGCP Professional Cloud Architect

Industry Keywords

Financial ServicesBankingInsuranceRegulated Environments

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudDockerGoogle Cloud PlatformJenkinsKafkaKubernetesPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Design, build, and maintain scalable data platforms on Google Cloud Platform for financial sector clients
Develop and optimize batch and streaming data pipelines using 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
Communicate architecture decisions, progress, and analysis to technical and non-technical audiences

Requirements

What you’ll need

7+ years of experience in data engineering or data platform engineering
At least 3 years in a senior or lead capacity
Strong hands-on experience building and operating data platforms on GCP
Working experience with BigQuery, Dataflow, Dataproc, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Bigtable, and Cloud SQL
Proficiency in Python and SQL
Experience with 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 is nice to have
Experience in banking, insurance, or other regulated financial services environments is nice to have
Experience with Dataplex, Data Catalog, dbt, or Great Expectations is nice to have
Experience with Docker and Kubernetes/GKE is nice to have
Exposure to Snowflake, Databricks, or Kafka is nice to have
Experience supporting AI/ML workloads or Vertex AI pipelines is nice to have

Benefits

Comp & perks

Great Place to Work recognition
Partner achievement awards
Team collaboration and technological innovation environment