At a Glance
- Tasks: Design and build secure, scalable data solutions for a cutting-edge payments platform.
- Company: Join a forward-thinking company in the heart of Manchester with a hybrid work culture.
- Benefits: Enjoy competitive pay, bonuses, healthcare, and personal development opportunities.
- Other info: Collaborative Agile environment with great career growth and regular team socials.
- Why this job: Make a real impact on innovative data solutions while learning from industry experts.
- Qualifications: 2+ years as a Data Engineer, strong Python skills, and Azure experience required.
The predicted salary is between 63000 - 77000 £ per year.
- Description
- KEY INFORMATION
Position
Data Engineer
Reporting to
Data Engineering Manager
Location
Manchester Office, Hybrid working schedule
Role Overview
As a Data Engineer, you will help shape the evolution of CMSPI’s payments intelligence platform.
You will work across the full data engineering lifecycle, designing secure data retrieval and ingestion capabilities, building reliable analytics workflows and supporting client onboarding.
Working closely with a cross-functional development squad, you will turn business requirements into maintainable solutions while learning and applying modern engineering practices and technologies.
Requirements
JOB ROLE
Key accountability for this role
Deliver innovative, scalable and secure data solutions for CMSPI’s payments intelligence platform.
Key responsibilities will include
- Design scalable data architectures and retrieval solutions across APIs, web scrapers and SFTP, with security and performance at the centre.
- Deliver prompt, efficient onboarding of CMSPI client data and contribute to new data features that create continuous business value.
- Collaborate with engineers, agile delivery leads and business stakeholders to define, refine and deliver requirements in an agile squad.
- Maintain high software quality through clean code, collaborative code and architecture reviews, automated testing and continuous integration.
- Respond to stakeholder issues and queries, troubleshoot production problems and drive practical improvements to data solutions.
- Help shape CMSPI’s next generation data platform using powerful tools such as Databricks AI Gateway, enabling governed, agent-powered capabilities that support self-building and self-healing data pipelines.
- Participate in sprint planning and daily stand-ups, keeping stories and tasks current and raising critical blockers early.
- Learn, adopt and promote best practices in data engineering, including reusable Python libraries and maintainable functional and object-oriented code.
- Stay aware of emerging technology trends and research ideas that can improve CMSPI’s data platforms and engineering practices.
- Work collaboratively as part of an Agile development squad and contribute to a culture of continuous learning and delivery.
- WHAT WE’RE LOOKING FOR
You are a great match if
- 2+ years’ professional experience as a Data Engineer or Dev Ops Engineer.
- Experience building ETL/ELT workflows for analytics using Spark or Hadoop.
- Strong Microsoft Azure experience across Dev Ops/CI/CD, Azure Data Factory, Azure Data Lake, Azure Functions, Key Vault, monitoring, networking, identity, and cloud deployment services.
- Databricks experience, including workflows/jobs, notebooks, Delta Lake, Unity Catalog and other Databricks-native tools.
- Advanced Python skills, including efficient functional and object-oriented code, reusable Python libraries, and practical experience with packages such as requests, Selenium, and Playwright.
- Strong problem-solving, analytical, communication and cross-functional collaboration skills.
- Bachelor’s degree in Computer Science, Mathematics or another analytical/numerical subject.
- Highly desirable: experience with Agile squads, payments, Terraform/Bicep, Docker/Kubernetes, Scala, Power Shell or YAML.
Benefits
What we offer…
- Competitive annual company bonus linked to company and individual performance.
- Future opportunity for equity (shadow stock) awarded to high performers.
- Competitive pension plan from day 1 plus Vitality healthcare cover & cycle to work (after 6-months)
- Monthly reimbursement for commuting costs.
- 22 days' annual leave, increasing with service, plus UK bank holidays.
- Wellbeing support, including an Employee Assistance Programme and mental health resources.
- Learn from payments industry experts and accelerate your career through ongoing training and development.
- Personal and professional growth opportunities, with personalised development plans tailored to your ambitions.
- Quarterly employee recognition awards including a financial prize.
- Regular officewide and team-based socials.
Data Engineer in Manchester employer: CMSPI
CMSPI is an exceptional employer for Data Engineers, offering a dynamic work environment in Manchester with a hybrid working schedule that promotes work-life balance. Employees benefit from competitive bonuses, comprehensive healthcare coverage, and tailored development plans that foster personal and professional growth. The collaborative culture encourages continuous learning and innovation, making it an ideal place for those looking to advance their careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like CMSPI!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at CMSPI.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like CMSPI.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at CMSPI, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Manchester
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 CMSPI, 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 CMSPI. 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 CMSPI
✨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 CMSPI!
✨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.
