Lead Data Engineer overseeing engineers and advancing the data platform at American Family Insurance. Creating tools and infrastructure to empower teams across the company.
About the role
- Enterprise Data Architect at MAG, leading design and governance of data architecture for airport operations. Ensuring accessibility, security, and quality of data for decision-making and system integration.
Responsibilities
- Play a pivotal role in defining and implementing MAG’s technology strategy from a data perspective.
- Align the technology strategy with the ambition to deliver safe, efficient, and customer-focused services.
- Lead the design and governance of MAG’s enterprise-wide data architecture.
- Enable data-driven decision-making across airport operations, enterprise systems, and customer engagement.
- Develop the MAG data model and integrate disparate systems.
- Ensure data quality, security, and accessibility across the organisation.
- Collaborate with stakeholders across MAG Technology and the wider business.
- Shape and maintain the data ecosystem and provide oversight of major transformation activities.
- Ensure alignment with strategic goals.
Requirements
- Extensive experience as an Enterprise Data Architect in a complex, regulated environment.
- Deep knowledge of data modelling, ETL, data warehousing, and cloud platforms (Azure, AWS, or GCP).
- Strong understanding of data governance, MDM, and regulatory compliance.
- Experience implementing enterprise data catalogues (e.g., Atlan, Informatica, Collibra).
- Familiarity with aviation systems (e.g., AODB, FIDS, CRM, ERP) is desirable.
- Excellent communication and stakeholder management skills, with the ability to influence at all levels.
- Knowledge of industry-standard data models and frameworks such as Lambda, Medallion, and Data Mesh.
- Experience with real-time data processing (Kafka, Spark) and BI tools (Power BI, Tableau).
- Strong analytical and problem-solving skills, translating business requirements into effective data solutions.
Benefits
- Bonus scheme
- 10% company contribution pension
- Car allowance
- Private medical scheme
- 25 days holiday plus bank holidays
- Free parking
- Subsidised public transport
- Huge range of company discounts
- 2 volunteering days per year
- Free Virtual GP service, available 24 hours a day, 7 days a week
- Care Concierge service
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Working Student contributing to data engineering projects for AI/ML workflows while gaining hands - on experience with data pipelines and tools.
Data Architect designing end - to - end Snowflake data solutions and collaborating with technical stakeholders at Emerson. Supporting the realization of Data and Digitalization Strategy.
Manager of Data Engineering leading data assets and infrastructure initiatives at CLA. Collaborating with teams to enforce data quality standards and drive integration efforts.
Data Engineer building modern Data Lake architecture on AWS and implementing scalable ETL/ELT pipelines. Collaborating across teams for analytics and reporting on gaming platforms.
Chief Data Engineer leading Scania’s Commercial Data Engineering team for growing sustainable transport solutions. Focused on data products and pipelines for BI, analytics, and AI.
Entry - Level Data Engineer at GM, focusing on building large scale data platforms in cloud environments. Collaborating with data engineers and scientists while migrating systems to cloud solutions.
Data Engineer designing and building scalable ETL/ELT pipelines for enterprise - grade analytics solutions. Collaborating with product teams to deliver high - quality, secure, and discoverable data.
Data Engineer responsible for data integrations with AWS technology stack for Adobe's Digital Experience. Collaborating with multiple teams to conceptualize solutions and improve data ecosystem.
People Data Architect designing and managing people data analytics for Gen, delivering actionable insights for HR. Collaborating across teams to enhance data - driven decision - making.