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- Tasks: Join a dynamic team to develop AI-driven data solutions and tackle complex challenges.
- Company: Amach, a leading tech company focused on innovation and collaboration.
- Benefits: Flexible working, competitive salary, and opportunities for career growth.
- Why this job: Make a real impact in a fast-growing company while working with cutting-edge technology.
- Qualifications: 7+ years in data analysis or engineering, advanced SQL and Python skills.
- Other info: Inclusive culture that values diversity and offers continuous learning opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Amach is an industry-leading technology driven company with headquarters located in Dublin and remote teams in the 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 are hiring a senior, hands-on Senior 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:- 7+ years 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
- 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
- Familiarity with airline or logistics data domains
- Ability to implement standards and frameworks for scalable data solutions across multiple operating companies
- 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!
Senior Data Analyst / Data Engineer in London employer: Amach
Contact Detail:
Amach Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst / Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or other platforms. Let them know you're on the hunt for a Senior Data Analyst / Data Engineer role. You never know who might have the inside scoop on an opening at Amach or elsewhere!
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss your experience with data pipelines and visualisation tools. We want to see how you can tackle real-world problems, so think of examples that showcase your hands-on experience.
✨Tip Number 3
Show off your problem-solving skills! During interviews, be prepared to walk us through your thought process when faced with complex data challenges. We love candidates who can think critically and come up with innovative solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, keep an eye on our careers page for new openings – we’re always on the lookout for talented individuals like you!
We think you need these skills to ace Senior Data Analyst / Data Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Analyst / Data Engineer role. Highlight your experience with SQL, Python, and data pipelines, as these are key skills we're looking for!
Showcase Your Problem-Solving Skills: In your application, share specific examples of how you've tackled complex data challenges in the past. We love seeing how you approach problem-solving and deliver high-impact outcomes!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experience and how it aligns with our needs. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: Don't forget to submit your application through our careers page! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Amach
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in SQL and Python, especially with libraries like Pandas. Be ready to discuss your experience with data pipelines and visualisation tools like PowerBI or Tableau, as these will be crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific projects where you had to modernise legacy datasets or optimise data pipelines, and be ready to explain your thought process.
✨Understand the Business Context
Familiarise yourself with the airline or logistics data domains if possible. Being able to translate business questions into analytical approaches will impress interviewers and show that you can bridge the gap between technical and non-technical stakeholders.
✨Be Ready for Hands-On Tasks
Since this role is highly hands-on, expect to demonstrate your skills during the interview. Brush up on your ability to design and develop production-ready data solutions, and be prepared to discuss best practices for data quality and security in cloud environments.
