Senior Data Engineer

Street Group

. Own data work end to end, from determining data availability through ingestion and modelling to delivery to consuming teams .

Posted 10/22/2026full-timeManchester • United KingdomSenior💰 £55,000 - £70,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining high-volume ETL pipelines, leveraging Python, SQL, and Google Cloud Platform. Proficient in Kubernetes management and deployment, with strong problem-solving skills and clear communication in technical documentation.

Highest-signal resume keywords

Python ProgrammingSQL Database ManagementETL Pipeline DevelopmentKubernetes ManagementGoogle Cloud Platform Experience

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Hard Skills

PythonSQLETLBigQueryGoogle Cloud PlatformKubernetesHelmAPI DesignTerraformData Scraping

Soft Skills

Creative Problem-SolvingClear Written Communication

Tools & Technologies

Claude CodeKraken APIRoad ToolMCP Servers

Industry Keywords

Data IngestionData ModellingData ProvenanceData InterpretationCost Considerations

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformKubernetesPythonSQLTerraformGo

About the role

Key responsibilities & impact

Own data work end to end, from determining data availability through ingestion and modelling to delivery to consuming teams
Build high-volume pipelines and ETL with performance, reliability and cost considerations
Maintain and operate the platform, including the Kubernetes cluster and deployment tooling
Help decide what infrastructure to host, pay for and retire
Establish patterns, tooling and code-review standards for the team
Develop and maintain Claude skills and MCP servers used by the team
Serve as the go-to person for questions about data holdings, provenance and interpretation
Source property data and scrape property portals using the in-house Road tool
Serve property data through Kraken, the UK property data API

Requirements

What you’ll need

Strong commercial experience with Python and SQL
Experience building ETL at scale with performance and cost in mind
BigQuery experience is a plus
Production experience with Google Cloud Platform
Hands-on experience with containers, Kubernetes and Helm
Experience changing Helm charts and deploying them
Fluent use of AI tools such as Claude Code, plugins and skills
Creative problem-solving ability when data is expensive or unavailable
Clear written communication in design docs and RFCs, and ability to explain decisions
Go, Terraform, API design, large SQL database management or BI exposure are bonuses
Must be eligible to live and work in the UK

Benefits

Comp & perks

Hybrid-working - you can work from home up to 4 days per week
£1000 towards a holiday after your first year with the team, including tax coverage
Culture that supports development and encourages growth
£500 yearly L&D budget
Paid birthday leave
2 paid volunteering days
Enhanced maternity, paternity & adoption pay
Mental health & well-being support via Health Assured
Regular well-being initiatives
Flexible working hours
Public transport season ticket loans
Paid menopause leave
Holiday buying scheme
Company and team off-sites, events and happy hours
Cycle to work scheme
Electric car salary sacrifice scheme
Climate-positive company
Comfortable office space with office dogs welcome
Fully stocked fridge and beers or alternative every Friday afternoon