Designing, building, and maintaining data pipelines using Azure and Airflow to support ingestion, transformation, and delivery of data from diverse sources
Developing, documenting, and optimizing dbt models and SQL transformations in Snowflake, ensuring data is well-structured, reusable, and performant for downstream analytics
Implementing and maintaining automated data quality checks, validation frameworks, and monitoring processes to ensure accuracy, completeness, and timeliness of data
Collaborating with product owners and analytics stakeholders to translate business requirements into scalable technical solutions
Contributing to Power BI data model development and supporting analysts in building efficient and performant dashboards
Working closely with engineering peers to improve internal tooling, develop reusable components, and enforce best practices across the data stack
Supporting ongoing documentation, metadata management, and data governance efforts to increase transparency and reduce rework

Requirements

Experience in a Data Engineering role in a modern data stack environment, preferably within a data quality or analytics-focused team
Demonstrated ability to design and implement data pipelines, build reliable data models, and apply data quality techniques
Hands-on experience working in cloud-native environments (AWS preferred)
Comfortable working in Agile development teams and contributing to backlog refinement and sprint planning
Proven ability to partner across engineering and product teams to deliver business value from data

Benefits

Company-provided free lunch every day
Flexible working arrangements that allow remote work or office attendance
An attractive compensation and benefits package, including private health insurance and company bonus scheme
Voluntary participation in a company-supported retirement scheme
A generous annual leave policy that grows with each year of service, plus a day off during your birthday month
Work remotely from anywhere in the world for 1 month each year

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipelinesdbt modelsSQL transformationsdata quality checksvalidation frameworksPower BIdata governancedata modelingcloud-native environmentsAgile development

Soft Skills

collaborationcommunicationproblem-solvingdocumentationstakeholder engagementbacklog refinementsprint planning