Data Engineering Manager

CitySwift is looking for a Data Engineering Manager to join our rapidly growing team.

As the world's leading intelligent data platform for public transport, CitySwift powers data-driven decision making for some of the largest transport networks across the globe. Backed by over €15 million in venture capital funding and a partner list that includes the world's largest public transportation operators and government authorities, such as National Express, Go-Ahead Group, Transport for London and many more. CitySwift is in accelerated growth mode with 200% YOY revenue growth in 2024.

CitySwift’s mission is to increase the adoption of sustainable public transportation usage around the world - our platform currently optimises over 3 billion passenger journeys annually, and our target is to reach over 10 billion by 2026.

At CitySwift, you’ll get the opportunity to take ownership, deliver measurable impact and develop professionally - reshape the future of public transport by accelerating CitySwift’s growth.

About the Role 

As a Data Engineering Manager in the data team, you will play a pivotal role in shaping the teams and technology that drive CitySwift's data systems. You will oversee a team of talented data engineers and scientists responsible for designing, developing, and maintaining our data infrastructure and pipelines. Your leadership will be instrumental in ensuring the scalability, performance, reliability and quality of our data systems, enabling the rest of the business to build products and features on a solid foundation of quality data.

Key responsibilities

• Lead and motivate a team of data engineers and scientists to deliver high-quality solutions that meet our business needs.
• Identify and support the needs of the team as it moves through the stages of team formation.
• Support the development and career aspirations of team members through coaching and mentorship.
• Lead the recruiting of new team members as we grow and build a world-class, sustainable and diverse data team.
• Drive an efficient and effective software delivery process including managing team ceremonies and backlog.
• Collaborate with data scientists, engineers, product managers and other stakeholders to translate business requirements into technical solutions.
• Spend a small portion of your time actively contributing to the codebase to help out when needed but more importantly to stay close to the developer experience.
• Stay up-to-date with the latest data technologies and trends through continuous learning.

Key skills

• Proven experience as a technical leader, with a strong background in data engineering.
• Extensive experience in working with teams who are designing, developing, and implementing data pipelines, architectures, and platforms.
• Deep understanding of data modeling, data warehousing, and data quality principles.
• Expertise in cloud-based data platforms, such as AWS, Azure or Google Cloud Platform (GCP).
• Strong proficiency in programming languages such as Python or Java.
• Excellent communication, collaboration, and problem-solving skills.

We value, recognise and reward our people

• Competitive market salary
• Health and Life Insurance and matched pension schemes
• 25 days annual leave, with additional company days off throughout the year
• Flexible working hours and hybrid/remote working opportunities including Work Abroad Program
• Paid Sick, Maternity and paternity benefits
• Employee Assistance Programme (EAP), mental health and wellbeing supports
• Employee referral program with opportunity to earn up to €4,000 per referral
• Annual Service recognition benefits (Additional Annual leave and pension contributions)

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