Senior Data Engineer – Data and AI

fifty-five

. Design, build and operate scalable data pipelines, data models and end-to-end solution architectures on GCP using BigQuery, Python, dbt, Airflow and Dataform .

Posted 10/3/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating scalable data pipelines and AI applications on Google Cloud, utilizing tools such as BigQuery, Python, and dbt. Strong client-facing communication skills and the ability to lead technical delivery across multiple projects are essential.

Highest-signal resume keywords

SQLPythonGCPData Pipeline DesignLLM Development

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Hard Skills

Data ModelingAutomated TestingCI/CDGit-Based WorkflowsTransformation ToolingOrchestration ToolingAI Application DevelopmentPrototypingProblem SolvingData Quality Control

Soft Skills

Client-Facing CommunicationDecision MakingCollaborationJudgmentLeadership

Tools & Technologies

BigQueryDbtAirflowDataformGeminiClaude CodeCodexTerraformLookerPower BI

Industry Keywords

Cloud PlatformsData ScienceInfrastructure as CodeSecure Data HandlingCost Control

Tech Stack

Tools & technologies

AirflowAWSAzureBigQueryCloudGoogle Cloud PlatformPythonSQLTerraform

About the role

Key responsibilities & impact

Design, build and operate scalable data pipelines, data models and end-to-end solution architectures on GCP using BigQuery, Python, dbt, Airflow and Dataform
Own technical delivery from scoping through production, including design decisions, risk and dependency management, and communicating trade-offs
Ensure delivery quality through validation, automated testing, observability and data-quality controls
Diagnose and resolve production issues
Design and build AI applications, including LLM agents on Google Cloud with Gemini and Google's ADK, from prototype to production
Use agentic coding tools such as Claude Code or Codex, critically validating their output
Share effective tools and practices through demos, documentation and reusable patterns
Collaborate with clients, consultants and data scientists to clarify requirements and translate business needs into pragmatic designs
Raise engineering standards through design reviews, code reviews, testing practices and documentation

Requirements

What you’ll need

Excellent SQL and strong Python skills
Proven experience designing, building and operating reliable data pipelines, data models and cloud platforms (GCP preferred, AWS or Azure also welcome)
Experience with transformation and orchestration tooling such as dbt, Airflow or Dataform
Strong software engineering practices: Git-based workflows, code review, automated testing and CI/CD
Hands-on experience building with LLMs (Gemini or similar), including agents, connecting models to data and APIs, and evaluating outputs
Judgement to know when to rely on AI-assisted engineering tools and when to verify
Ability to break down ambiguous problems, identify the business challenge, make well-reasoned decisions, and prototype and pitch ideas
Excellent client-facing communication and confidence leading delivery independently across several client projects
Desirable: Infrastructure as code (Terraform), cloud IAM, secure handling of client data, production LLM agents, evaluation and guardrails, cost control, Slack/Teams integrations, applied data science, Looker or Power BI, marketing platforms and marketing data

Benefits

Comp & perks

Being part of a multicultural, dynamic and fast-growing team
Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by recurring training sessions)
Private medical coverage through AXA
Transport for London monthly travel card allowance
The flexibility to work remotely for part of the week
25 days holiday per year, in addition to UK bank and public holidays
Company pension plan
Company-sponsored sporting and social activities
Monthly Codecademy subscription - reimbursable upon completion of chosen training path