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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining data pipelines using Prefect and building data products in Snowflake with dbt. Proficient in SQL and Python, with strong communication skills for collaboration with business teams.
Highest-signal resume keywords
Advanced SQL SkillsPython ProgrammingProduction Experience With dbtExperience With SnowflakeData Pipeline Development Using Prefect
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonDbtData Pipeline DevelopmentData Product DevelopmentData Mesh ApproachData TestingData DocumentationAutomation of Data Engineering WorkflowsAI Coding Environments
Soft Skills
Good Communication SkillsCollaboration With Non-Engineers
Tools & Technologies
PrefectSnowflakeCloud Data WarehouseAPIsExternal Data Providers
Industry Keywords
Data EngineeringData ProductsData PipelinesData StandardsBusiness Reporting Models
Tech Stack
Tools & technologiesCloudPythonSnowflakeSQL
About the role
Key responsibilities & impact- Design, build and maintain reliable data pipelines in Prefect from source systems including databases, APIs and external data providers
- Build data products in Snowflake with dbt, from the staging layer to business reporting models
- Add tests, documentation and freshness checks to data products
- Find and correct pipeline failures, test failures and performance problems
- Reduce the number of repeat failures
- Build data products inside the common framework
- Propose changes to established standards and innovate data platform delivery to business domains using the data mesh approach
- Review pull requests and documentation from colleagues and developers in business domains
- Take ownership of workstreams in the 2027 roadmap
- Work directly with business teams that use the data products
Requirements
What you’ll need- Advanced SQL and Python skills
- Production experience with dbt or a similar data engineering tool
- Full fluency in spoken and written English
- Good communication skills
- Daily experience working with a cloud data warehouse such as Snowflake or an equivalent platform would be an advantage
- Production experience with dbt, including an understanding of models, layers, tests and metadata would be an advantage
- Production experience with Prefect, including an understanding of schedules, retries, backfills and the analysis of failed runs would be an advantage
- Experience working with non-engineers who build and deliver their own data solutions would be an advantage
- Experience identifying manual tasks in data engineering workflows and automating them would be an advantage
- Experience with AI coding environments such as Claude Code or Codex would be an advantage
Benefits
Comp & perks- Annual bonus
- Employee Pension Scheme, paid in full by the employer
- Well-being package: Multisport card or holiday subsidy, life insurance, lunch card and gift cards
- Private medical care, with telemedicine and rehabilitation
- Support from the Employee Foundation
- Hybrid work 3 days in the office
- Flexible working hours
- Modern office with daylight, fresh air and high-quality equipment
- Parking spaces for employees
- Massages in the office
- Referral programme
- Employee discount on VELUX products