Lead Data Engineer

SAS - Scandinavian Airlines

Lead Data Engineer building cloud data pipelines and products for SAS, Scandinavia’s leading airline. Driving DataOps standards, engineering quality, and enterprise data infrastructure.

Posted 8/24/2026full-timeSolna • 🇸🇪 SwedenSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating scalable data pipelines and products, with strong proficiency in SQL, Python, and cloud-based solutions such as Azure Data Factory and Azure Databricks. Proven ability to mentor teams, establish engineering standards, and ensure compliance with quality and security requirements.

Highest-signal resume keywords

Data Engineering ExperienceSQL ProficiencyPython ProficiencyCloud-Based Data PipelinesDataOps Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ModellingData Warehouse DesignData Lake ArchitectureAutomated TestingVersion ControlCI/CDMonitoringOrchestration ToolsDistributed Processing Frameworks

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

Azure Data FactoryAzure DatabricksSynapseSparkAirflowPrefectLakeflowDbt

Industry Keywords

DataOpsEngineering StandardsQuality AssuranceSecurity GovernanceOperational SLAs

Tech Stack

Tools & technologies

AirflowAzureCloudPythonSparkSQL

About the role

Key responsibilities & impact

Lead the design, development, and operation of scalable data pipelines, data products, and integrations
Establish and drive engineering standards for testing, documentation, observability, monitoring, SLAs, version control, and DataOps
Partner with the Data Architect to translate architectural direction into practical implementation patterns and reusable engineering standards
Lead code reviews and drive continuous improvement of engineering practices across the team
Mentor and support data engineers and DataOps engineers in modern tools, standards, and software engineering practices
Collaborate with architecture, data stewardship, IT, cloud teams, and business stakeholders
Ensure solutions meet quality, security, governance, and operational requirements
Drive the development of reliable, scalable, well-operated data products, pipelines, and integrations across SAS

Requirements

What you’ll need

A degree in computer science, engineering, or a related field
At least 5 years of hands-on data engineering experience, including experience in a senior or lead role
Strong skills in SQL and Python
Experience with Spark or similar distributed processing frameworks
Experience building and operating cloud-based data pipelines, preferably in Azure using Azure Data Factory, Azure Databricks, Synapse, or equivalent
Solid understanding of data modelling, data warehouse design, data lake architecture, and enterprise data solutions
Practical experience with DataOps, version control, CI/CD, automated testing, monitoring, alerting, and operational SLAs
Experience with orchestration and transformation tools such as Azure Data Factory, Airflow, Prefect, Lakeflow, or dbt
Strong mentoring skills and a passion for helping others grow through clear standards, documentation, and practical guidance
Collaborative mindset and strong communication skills
Ability to bring practical engineering perspectives into architectural discussions
Must undergo a background check because the role is security classified

Benefits

Comp & perks

Extensive opportunities for professional development
Discounted travel opportunities around the world with SAS
Health and wellness benefits
Newly renovated gym with complimentary CrossFit and yoga classes
Discounts from a wide range of brands
Discounts on transportation to and from airports, airport shops, hotels, and car rentals
Office restaurant and café
Access to outdoor activities and equipment, including running, tennis, outdoor gym sessions, kayaking, and stand-up paddling
Non-stop bus service connecting the office to Solna station
Commuter trains and cycle paths