Data Engineer
CitySwift is looking for a Data Engineer 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 trusted by major public transportation operators and government authorities - including 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 worldwide. Our platform currently optimises over 3 billion passenger journeys annually, and we’re targeting over 10 billion by 2026.
At CitySwift, you’ll have 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 Engineer on the Data team, you will play an important role in building and evolving the data systems that power CitySwift’s platform. You will work closely with senior engineers, software engineers, data scientists, and product teams to design, develop, and maintain scalable, reliable, and high-quality data pipelines and infrastructure. Your contributions will help ensure that the rest of the business can build products and insights on a solid foundation of trusted data. This role is ideal for someone with approximately two years of experience who is eager to deepen their technical expertise, take on more ownership, and learn within a collaborative and mission-driven environment.
Key Responsibilities
Design, build, and maintain data pipelines and workflows that support CitySwift’s analytics, data science, and product features.
Contribute to the development of robust, scalable data architectures and tooling.
Collaborate with data scientists, engineers, and product managers to understand data requirements and translate them into technical solutions.
Support the monitoring, testing, and quality assurance of data pipelines to ensure accuracy, reliability, and performance.
Participate in code reviews and contribute to improving engineering standards and best practices.
Troubleshoot data issues and assist in root-cause analysis and resolution.
Continuously learn and adapt to new technologies, tools, and best practices within the data engineering space.
Key Skills
2 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).
Strong SQL, experience with SQL/NoSQL databases (MySQL, MongoDB) and cloud warehouses (Snowflake, Redshift, BigQuery)
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.
What we can offer
Very Competitive Market Salary
Automatic enrolment into our pension scheme for all employees, matched company contributions
100% Company paid healthcare available to all employees, with the option to add dependents discounted
Automatic enrollment for all employees into our Life Insurance scheme
25 days annual leave allowance, with additional company days off given throughout the year
Flexible working hours and remote working opportunities based on role
Maternity and paternity benefits (100% maternity pay for employees over 2 years of service)
Paid Company sick pay
Mental Health support (Employee Assistance Programme (EAP), Wellbeing supports (yoga, fitness classes) and free eye tests
Opportunity to make your mark in a high growth Irish Tech Company and help us in our mission to reduce global emissions from transport
Bike to Work & TaxSaver commuter scheme
Employee referral program available to all employees, opportunity to earn up to €4,000
Service Recognition Awards and Personal Celebration benefits available to all employees
Work Abroad Program available to all employees.
Office in City Centre location in Galway
Active social club where employees are encouraged to have fun together both inside and outside of work!
Data Engineer
CitySwift is looking for a Data Engineer 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 trusted by major public transportation operators and government authorities - including 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 worldwide. Our platform currently optimises over 3 billion passenger journeys annually, and we’re targeting over 10 billion by 2026.
At CitySwift, you’ll have 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 Engineer on the Data team, you will play an important role in building and evolving the data systems that power CitySwift’s platform. You will work closely with senior engineers, software engineers, data scientists, and product teams to design, develop, and maintain scalable, reliable, and high-quality data pipelines and infrastructure. Your contributions will help ensure that the rest of the business can build products and insights on a solid foundation of trusted data. This role is ideal for someone with approximately two years of experience who is eager to deepen their technical expertise, take on more ownership, and learn within a collaborative and mission-driven environment.
Key Responsibilities
Design, build, and maintain data pipelines and workflows that support CitySwift’s analytics, data science, and product features.
Contribute to the development of robust, scalable data architectures and tooling.
Collaborate with data scientists, engineers, and product managers to understand data requirements and translate them into technical solutions.
Support the monitoring, testing, and quality assurance of data pipelines to ensure accuracy, reliability, and performance.
Participate in code reviews and contribute to improving engineering standards and best practices.
Troubleshoot data issues and assist in root-cause analysis and resolution.
Continuously learn and adapt to new technologies, tools, and best practices within the data engineering space.
Key Skills
2 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).
Strong SQL, experience with SQL/NoSQL databases (MySQL, MongoDB) and cloud warehouses (Snowflake, Redshift, BigQuery)
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.
What we can offer
Very Competitive Market Salary
Automatic enrolment into our pension scheme for all employees, matched company contributions
100% Company paid healthcare available to all employees, with the option to add dependents discounted
Automatic enrollment for all employees into our Life Insurance scheme
25 days annual leave allowance, with additional company days off given throughout the year
Flexible working hours and remote working opportunities based on role
Maternity and paternity benefits (100% maternity pay for employees over 2 years of service)
Paid Company sick pay
Mental Health support (Employee Assistance Programme (EAP), Wellbeing supports (yoga, fitness classes) and free eye tests
Opportunity to make your mark in a high growth Irish Tech Company and help us in our mission to reduce global emissions from transport
Bike to Work & TaxSaver commuter scheme
Employee referral program available to all employees, opportunity to earn up to €4,000
Service Recognition Awards and Personal Celebration benefits available to all employees
Work Abroad Program available to all employees.
Office in City Centre location in Galway
Active social club where employees are encouraged to have fun together both inside and outside of work!