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Bits In Glass

Technical Delivery Lead

Bits In Glass

. Lead the engineering and technical strategy for a scalable, multi-tenant data integration platform using Apache Airflow and GCP .

Posted 10/6/2026contractLondon • United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data engineering initiatives, particularly in building and maintaining scalable ETL/ELT pipelines using Apache Airflow and GCP. Proficient in applying cloud architecture best practices and implementing CI/CD processes to ensure high-quality data integration solutions.

Highest-signal resume keywords
Apache AirflowGCP BigQueryPython ProgrammingTerraformCI/CD Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ETL/ELT Pipeline DevelopmentData EngineeringCloud ArchitectureConfiguration ManagementPerformance TuningData Quality ControlsDebuggingTestingObservabilityData Governance
Soft Skills
Communication SkillsAnalytical SkillsProblem-Solving Skills
Tools & Technologies
GKECloud RunCloud ComposerInfrastructure-as-CodeAutomated Quality Gates
Certifications & Qualifications
GCP Professional Data EngineerGCP Professional Cloud Architect
Industry Keywords
Multi-Tenant Data PlatformsData LineageMetadata ManagementVendor IntegrationsRegulated Financial Services

Tech Stack

Tools & technologies
AirflowApacheBigQueryCloudETLGoogle Cloud PlatformPythonTerraform

About the role

Key responsibilities & impact
  • Lead the engineering and technical strategy for a scalable, multi-tenant data integration platform using Apache Airflow and GCP
  • Build and maintain production-grade ETL/ELT pipelines orchestrated with Apache Airflow
  • Utilize container platforms such as GKE and Cloud Run
  • Apply software engineering practices across Python, APIs, configuration management, testing, and performance tuning
  • Implement CI/CD pipelines, release controls, automated quality gates, and Infrastructure-as-Code using Terraform
  • Design for reliability through retries, idempotency, dead-letter patterns, and operational resilience
  • Translate complex technical concepts to diverse audiences and align cross-team efforts
  • Work with GCP BigQuery for large-scale data warehousing and analytics
  • Architect cloud solutions using GCP Cloud Architecture best practices

Requirements

What you’ll need
  • 7+ years of experience in data engineering or data platform engineering
  • At least 3 years in a technical lead or delivery lead capacity
  • Proven experience owning a technical roadmap and aligning engineering delivery with business priorities
  • Strong hands-on experience designing and building production-grade ETL/ELT pipelines orchestrated with Apache Airflow or Cloud Composer
  • Strong experience with GCP services including BigQuery, GKE, and Cloud Run
  • Experience applying GCP cloud architecture best practices
  • Proficiency in Python, including APIs, configuration management, testing, and performance tuning
  • Working experience with Terraform and CI/CD pipelines, including release controls and automated quality gates
  • Experience designing resilient systems using retries, idempotency, and dead-letter handling
  • Experience implementing data quality controls, including validation, reconciliation, and exception handling
  • Experience establishing engineering standards for coding, testing, documentation, observability, and security
  • 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 with multi-tenant data platforms, data lineage and metadata management tools, data governance and data quality frameworks, vendor integrations, event-driven or streaming services, observability tooling, and regulated financial services environments is nice to have

Benefits

Comp & perks
  • Great Place to Work recognition
  • Partner achievement awards
  • Collaborative team environment
  • Technological innovation focus
  • Opportunities to guide enterprise organizations through digital transformation