At a Glance
- Tasks: Shape data usage across a major transformation programme with AI and automation.
- Company: Globally recognised customer engagement platform with top financial and retail brands.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a collaborative team with high visibility and excellent career advancement opportunities.
- Why this job: Be at the forefront of data architecture and make a real impact in a dynamic environment.
- Qualifications: Strong AWS experience, data architecture skills, and a passion for AI and automation.
The predicted salary is between 60000 - 80000 £ per year.
We are hiring a Technical Data Architect for a globally recognised customer engagement and loyalty platform that partners with some of the world's largest financial services and retail brands. They are kicking off a major transformation programme this year with a significant focus on end-to-end automation and AI, and this role will be central to shaping how data is used across the business.
This is an individual contributor role with high visibility across both technical and business teams, working closely with an existing data architect locally and a principal data engineer in London.
What they are looking for:
- Strong data architecture background with hands-on AWS experience; AWS migration from on-prem to cloud is actively underway, so this is non-negotiable.
- Experience designing and owning scalable data platforms, real-time and batch pipelines.
- Strong data modelling and ETL/ELT experience across SQL and NoSQL.
- Background in large transformation programmes; banking and telecoms experience particularly valued.
- Data governance, security and performance optimisation experience.
- Interest or practical experience in AI and automation; agentic AI is a genuine differentiator.
- Production mindset; someone who sees solutions through to delivery rather than just designing them.
Working pattern: Hybrid, 2-3 days per week in Belfast office.
To speak in absolute confidence about this opportunity please contact Rachael Walker, IT Recruitment Manager at MCS Group or click the apply button below. If this position is not right for you, we have others that are. Please visit MCS Group to view a wide selection of our current jobs or give us a call. All conversations will be treated in the strictest of confidence.
Skills: AWS, Amazon Web Services, ETL/ELT, SQL, NoSQL, Data, Data Pipelines.
Benefits: Work From Home Benefits.
Principal Data Engineer/ Architect in Newtownabbey employer: MCS Group
Join a forward-thinking company that is at the forefront of customer engagement and loyalty solutions, where your expertise as a Principal Data Engineer/Architect will play a pivotal role in a transformative journey. With a hybrid working model based in Belfast, you'll enjoy a collaborative work culture that values innovation and offers ample opportunities for professional growth, all while contributing to exciting projects involving AI and automation. The company prioritises employee well-being with flexible work arrangements and a commitment to fostering a supportive environment for all team members.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer/ Architect in Newtownabbey
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We think you need these skills to ace Principal Data Engineer/ Architect in Newtownabbey
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at MCS Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MCS Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at MCS Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at MCS Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
