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Salary
≈ $76k – $172k per year (Estimated)
Location
Hybrid (Galway, Ireland)
Seniority
Staff

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 21, 2026. CitySwift scores B on the Alion truth index.

Overview
Company
Impact
Profile match
CitySwift’s industry-leading public transport performance optimisation platform delivers business intelligence, recommendations and forecasting to improve public transport network performance, service reliability and passenger experience.

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

CitySwift is the world’s leading performance optimisation platform for public transport, enabling data-driven decision-making for some of the largest transport networks globally. Backed by over €15 million in venture capital funding, we partner with major public transport operators and government authorities, including Go-Ahead Group, Transport for London, and many more. CitySwift is experiencing accelerated growth, with 117% year-over-year revenue growth in 2025.

Our mission is to increase the adoption of sustainable public transport worldwide. Today, our platform optimises more than 3 billion passenger journeys annually, and our target is to reach 10 billion journeys by the end of 2026.

At CitySwift, you’ll have the opportunity to take ownership, make a measurable impact, and grow professionally as part of a collaborative, mission-driven team. Join us in shaping the future of public transport by driving the next phase of 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.

Desired Qualifications

  • 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

  • A role with real scope, where your impact is visible, your salary is reviewed as we grow, and there are career progression opportunities as the company scales and internationalises. 
  • Comprehensive health and life insurance through Laya Healthcare in Ireland and Aviva in the UK.
  • Flexible working with hybrid working as the default in Ireland, core hours of 10am to 4pm, remote options depending on role and a work abroad programme of up to 6 weeks.
  • 25 days annual leave from day one, increasing by half a day per year of service, plus company days off, a half day before public holidays and an end of year shutdown.
  • Enhanced family leave, including 6 months fully paid maternity leave and 3 weeks paid paternity leave after 18 months’ service (and wedding leave!)
  • And on top of all of this, the usuals done well. A matching pension scheme that increases with service, paid sick leave, bike to work scheme, wellbeing supports, and an employee referral programme with rewards of up to €4,000 (or equivalent) per referral.
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