CitySwift is looking for a Data Engineer 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 Engineer on the Engine team, you will play a pivotal role in building and evolving CitySwift’s core data processing engine. You will work within a team responsible for ingesting, cleaning, and joining high-velocity transport data, processing over 20 million vehicle pings daily and matching demand to telemetry every 22 seconds. Your work will directly power our automated pipelines, data validation algorithms, and geospatial mapping tools, ensuring high data integrity across billions of passenger journeys.
Key responsibilities
- Design, build, and maintain scalable data pipelines that ingest and process multi-source transport datasets (vehicle telemetry, schedule data, passenger ticketing/APC demand, and geospatial topology).
- Develop and refine automated data cleaning, validation, and deduplication logic to maintain high data integrity across raw, noisy datasets.
- Optimise core data processing pipelines for geospatial mapping, corridor-level analysis, and real-time/batch data enrichment.
- Support pipeline management, job monitoring, automated testing, and error handling to guarantee reliable daily processing for downstream products (Explore, Evolve, Discover).
- Collaborate closely with data scientists, software engineers, and product teams to translate domain algorithms and complex transportation logic into efficient engine code.
- Troubleshoot complex data processing issues, assist in root-cause analysis, and streamline data ingestion pipelines.
- Continuously learn and adopt new technologies, distributed tools, and data engineering best practices as our platform scales.
Desired Qualifications
- 3+ years of professional experience in data engineering or a closely related field.
- Experience designing, developing, or maintaining data pipelines, ETL/ELT processes, or data-driven systems.
- Solid understanding of data modeling, data warehousing concepts, and data quality principles.
- Experience working with cloud-based data platforms (e.g., AWS, Azure, or Google Cloud Platform).
- Advanced SQL capabilities with deep experience in data modeling, query performance tuning, and schema design across relational, NoSQL, and cloud data warehouses (Snowflake, BigQuery, Redshift, MySQL, MongoDB).
- Proficiency in programming languages such as Python or Java.
- Familiarity with modern data technologies (e.g., Spark, Airflow, dbt, Kafka, or similar) is a plus.
- Strong problem-solving skills and the ability to work collaboratively in a cross-functional team.
- Good communication skills and a willingness to learn, ask questions, and grow within the role.
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.
