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.
Established in 2013, we specialise in cloud migration and development, digital transformation including agile software development, DevOps, automation, data and machine learning…
We're hiring a senior, hands-on Data Analyst / Data Engineer to support the delivery of AI-enabled, decision-support solutions within a large, complex operational environment, with designs that scale across multiple operating companies.
This role sits across advanced analytics and data engineering, with work flexing depending on the delivery phase and workstream. You will operate as a senior individual contributor, embedded within a cross-functional product squad alongside Data Scientists, Visualisation Engineers, and change teams. The role is highly hands-on and delivery-focused, suited to someone who enjoys deep problem-solving, data exploration and building production-ready analytical assets.
Please note this role operates in a hybrid model with candidates expected to be able and willing to work from our customer's London office three times per week.
Required Experience:
- Strong experience in data analysis, analytics engineering or data engineering within a product or delivery-focused environment
- Advanced skills in SQL and data processing using Python (e.g. Pandas)
- Hands-on experience developing and optimising data pipelines for analytics and reporting use cases
- Experience working with data visualisation tools such as PowerBI, Tableau, or similar
- Proven ability to understand, assess and modernise legacy datasets and pipelines
- Strong understanding of data modelling and API integration
- Experience developing, testing and deploying production data solutions (not just PoCs)
- Familiarity with cloud platforms (AWS preferred) and working knowledge of DevOps concepts (CI/CD, version control)
- Comfortable working independently and communicating with non-technical stakeholders
- Strong stakeholder engagement and solution-oriented mindset
- Ability to deliver high-impact outcomes under tight timelines
- Experience working in advisory or consultancy-style delivery settings
Key responsibilities & duties include:
- Discover, connect to, and analyse data from a wide range of sources, including relational databases and flat files (CSV, YML, XLS etc.)
- Identify, investigate and remediate data quality, completeness, and consistency issues
- Challenge data provenance, assumptions and definitions within legacy datasets to ensure they are fit for modern analytics and AI use cases
- Translate business questions into clear analytical approaches, KPIs, metrics and data narratives
- Support the definition of KPIs and analytical logic that underpin dashboards and operational reporting
- Design, develop, and optimise data pipelines for ingestion, transformation, and storage
- Ensure data pipelines are production-ready, reliable, scalable, and maintainable beyond proof-of-concept
- Implement best practices for data quality, integrity, security, performance and scalability in cloud environments
- Support multi-OpCo deployment by designing modular, interoperable data architectures and pipelines
- Collaborate with Data Scientists to prepare, validate, and structure datasets that support advanced analytics and AI-driven solutions
- Support the integration of analytics and AI outputs into live operational workflows, ensuring outputs are actionable and adopted
- Willingness to travel internationally during later stages to support group-wide deployment
Desirable Experience:
- Familiarity with airline or logistics data domains
- Ability to implement standards and frameworks for scalable data solutions across multiple operating companies
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]
