About us:
Amach is an industry-leading technology driven company with headquarters located in Dublin and remote teams in UK and Europe.
Our blended teams of local and nearshore talent are optimised to deliver high quality and collaborative solutions.
Founded in 2013, Amach was created to solve a specific problem in aviation: too much complexity, too little usable intelligence. We help airlines modernise their operating model using cloud, data and Al-delivered by teams with deep aviation domain expertise.
Our goal is to maximize airlines' operational efficiency by optimizing resource use, reduce costs and increase customer experience and satisfaction.
We are seeking a Senior Data Engineer where you will design, develop and implement robust data pipelines and data warehouse solutions. This is an AI-native role where modern AI-assisted engineering tools form a core part of your daily workflow, enabling you to accelerate data analysis, modelling, and solution delivery. You will act as a senior technical contributor, leading by example in contemporary engineering practices while mentoring junior engineers and translating complex business requirements into clear, executable data solutions.
Please note: this role operates on a hybrid model, with 2 days per week in the Dublin office.
Key responsibilities & duties include:
- Act as a senior technical contributor, leading by example in modern, AI-accelerated engineering practices
- Mentor and guide junior engineers and analysts working with the customer's teams, helping them adopt effective AI-assisted workflows while maintaining strong engineering standards
- Lead technical discussions with the customer's architects, product owners, and business stakeholders, translating ambiguous requirements into clear, executable data solutions
- Foster a culture of speed, experimentation, and continuous improvement across the customer's data function, grounded in sound engineering judgement and accountability
- Design, build, and maintain scalable, reliable, and high-performance data pipelines, data lake components, and data warehouse models that serve the customer's analytics needs
- Take end-to-end accountability for data solutions from source ingestion through to analytics-ready datasets, ensuring alignment with the customer's architecture standards, governance requirements, and platform strategy
- Use AI-assisted tools such as Claude or Copilot-style assistants as a first-class part of your engineering workflow to rapidly explore datasets, propose and iterate data models, generate and optimise SQL and PySpark code, and prototype end-to-end pipelines
- Apply rigorous validation and critical thinking to all AI-generated outputs, ensuring correctness, performance, security, and maintainability before production use
- Embed data quality, observability, and validation into pipelines from the outset rather than as a downstream activity, and design monitoring, logging, and alerting to ensure reliability of production data assets
- Clearly document data assets, assumptions, and design decisions to enable transparency, reuse, and auditability across the customer's organisation
- Stay current with emerging data engineering, analytics, and AI-assisted development practices, and contribute to the evolution of the customer's data engineering standards to reflect modern, AI-enabled ways of working
Required Experience:
- Significant experience, typically 5 or more years, delivering data engineering solutions in an enterprise environment
- Strong data engineering fundamentals with the ability to rapidly produce high-quality SQL, Python, and PySpark code using a combination of technical knowledge and AI-assisted development tools
- Demonstrated, hands-on use of AI tools as part of day-to-day analytics and engineering workflows
- Deep understanding of data modelling concepts and patterns such as dimensional modelling, and the ability to use AI to accelerate model design and iteration
- Experience working with modern data platforms such as Databricks and Snowflake
- Experience deploying analytics solutions on cloud platforms including AWS or Azure
- Experience with orchestration, ETL, and BI ecosystems such as Airflow and Power BI
- Experience with data quality, governance, or observability tooling
- Strong bias towards delivery speed and business impact without compromising data quality, security, or governance
- Exceptional problem-solving skills, particularly in ambiguous or poorly defined problem spaces
- Excellent judgement in reviewing, validating, and hardening AI-generated code and designs for production environments
- Strong communication skills with the ability to explain technical concepts and trade-offs to non-technical stakeholders
- Proven track record of improving team working practices and raising overall engineering maturity
- Comfortable operating within a scaled agile delivery environment
Desirable Experience:
- Degree in Computer Science, Data and Analytics, or a related field
- Experience acting in a technical lead or informal people-lead capacity
- Experience designing enterprise-scale data platforms and complex analytical ecosystems
- Experience driving adoption of new tools, platforms, or ways of working across a team
What’s in it for you:
- An opportunity to join a fast-growing company
- Options for career advancement
- Learning and development opportunities
- Flexible working environment
- Competitive salaries based on experience
Equal Opportunity Employer:
Amach is an equal opportunity employer and makes employment decisions on the basis of merit. We celebrate diversity and are committed to creating an inclusive environment for all employees. This job description is intended to convey essential responsibilities and qualifications for this role, but it is not an exhaustive list of tasks that an employee may be required to perform.
If you are passionate about driving customer success, advising on strategic solutions, and contributing to product innovation, we would love to hear from you!
Not for you?
Check out all of our open positions in our careers page and follow us on LinkedIn for future opportunities.
P.S. Share this with friends and co-workers! Don't be afraid they'll steal it from you, if you're amazing and smart we'll find a role for you. We are growing fast and we are always looking for talented people.
At Amach, we strive to be an inclusive community of open-minded individuals with different backgrounds and we are committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. We strongly believe that a diversity of experience and background is essential to create a fulfilling environment and better solutions for our people and our customers. All Amach employees and contractors are expected to honour this policy and act to ensure that every individual is respected in the workplace.
Your personal data
Amach will process your personal information in accordance with the EU's General Data Protection Regulation (GDPR). We will comply with data protection law and principles, which means that your data will be:
- Used lawfully, fairly and in a transparent way
- Collected only for valid purposes and not used in any way that is incompatible with those purposes
- Relevant to the purposes we have told you about and limited only to those purposes
- Accurate and kept up to date
- Kept only as long as necessary for the purposes we have told you about
- Kept securely
If you would like to contact us about your data, please use the following address: [email protected]
Amach Dublin, Dublin, IRL Office
14 Clanwilliam Court, Dublin, Dublin, Ireland, D02 FK23
