Skyscanner

3 months ago

Data Engineering Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Lead a high-performing data engineering squad within Core Data, shaping the data backbone for an AI-first travel platform. Drive delivery, quality, strategy, and cross-team collaboration to build scalable, trusted data products and AI-ready foundations for experiments and real-time traveler experiences.

Location: London, Edinburgh

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Leading a high-impact squad: hire, coach and grow a team of data engineers, helping them do their best work.
•Owning delivery and quality: prioritise work, unblock challenges, and ensure high standards across everything shipped.
•Driving engineering excellence: champion best practices across testing, observability, CI/CD, and performance optimisation.
•Building AI-ready foundations: shape data platforms that support ML/AI use cases with reproducibility and responsible data practices.
•Collaborating across teams: partner with product, analytics and data science to turn fuzzy problems into clear, impactful solutions.

Key Requirements

•Experienced leader: you've led and grown data engineering teams in product-led environments and know how to bring out the best in people.
•Technically strong: comfortable with modern data stacks like Databricks, Spark, Airflow, SQL and Python, with ability to go deep when needed.
•Cloud-savvy: understand distributed systems and cloud platforms, and how to make them work efficiently at scale.
•Quality-driven: care about clean code, reliable pipelines, and solid operational practices.
•Collaborative by nature: work well across disciplines and align teams around shared goals.

Skills:DatabricksSparkAirflowSQLPythonCloudCI/CDObservabilityTesting

Languages:English

Tech Stack:DatabricksSparkAirflowSQLPythonCloudCI/CDObservabilityData pipelines

Company Brief

Skyscanner

Skyscanner operates a global travel search engine and metasearch platform allowing users to compare flights, hotels, and car hire across providers to find the best prices and travel options.

Industry: TravelTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Edinburgh, United Kingdom

Founded: 2003

Glassdoor: 4.1

Website LinkedIn

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Skyscanner

3 months ago

Data Engineering Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: London, Edinburgh

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Leading a high-impact squad: hire, coach and grow a team of data engineers, helping them do their best work.
•Owning delivery and quality: prioritise work, unblock challenges, and ensure high standards across everything shipped.
•Driving engineering excellence: champion best practices across testing, observability, CI/CD, and performance optimisation.
•Building AI-ready foundations: shape data platforms that support ML/AI use cases with reproducibility and responsible data practices.
•Collaborating across teams: partner with product, analytics and data science to turn fuzzy problems into clear, impactful solutions.

Key Requirements

•Experienced leader: you've led and grown data engineering teams in product-led environments and know how to bring out the best in people.
•Technically strong: comfortable with modern data stacks like Databricks, Spark, Airflow, SQL and Python, with ability to go deep when needed.
•Cloud-savvy: understand distributed systems and cloud platforms, and how to make them work efficiently at scale.
•Quality-driven: care about clean code, reliable pipelines, and solid operational practices.
•Collaborative by nature: work well across disciplines and align teams around shared goals.

Skills:DatabricksSparkAirflowSQLPythonCloudCI/CDObservabilityTesting

Languages:English

Tech Stack:DatabricksSparkAirflowSQLPythonCloudCI/CDObservabilityData pipelines

Company Brief

Skyscanner

Skyscanner operates a global travel search engine and metasearch platform allowing users to compare flights, hotels, and car hire across providers to find the best prices and travel options.

Industry: TravelTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Edinburgh, United Kingdom

Founded: 2003

Glassdoor: 4.1

Website LinkedIn