At a Glance
- Tasks: Develop and optimise data pipelines using Quantexa, Spark, and Scala.
- Company: Join KPMG, a leading consultancy with a strong reputation.
- Benefits: Flexible working options, competitive salary, and professional development opportunities.
- Other info: Dynamic team culture with opportunities for growth and innovation.
- Why this job: Make a real impact with cutting-edge technology in a supportive environment.
- Qualifications: Experience in data engineering, Quantexa solutions, and programming skills in Scala and Python.
The predicted salary is between 60000 - 80000 £ per year.
The KPMG Data Engineering function is a cornerstone of our business. We do work that matters to our local business and communities – supporting technical innovation and adoption of cutting‑edge solutions across the UK. Working on complex engagements in Quantexa solutions, this team is responsible for the delivery of cutting‑edge technical solutions and is trusted to get it right the first time.
Responsibilities
- Develop and optimise data ingestion pipelines and transformations within the Quantexa platform using Spark and Scala.
- Configure and implement Quantexa components such as Entity Resolution, Scoring, and Network Generation to support specific use cases.
- Collaborate with Tech Leads and Solution Architects to design scalable and performant Quantexa solutions.
- Translate business and technical requirements into efficient, production‑ready data engineering solutions.
- Support the integration of Quantexa into broader enterprise data architectures, working closely with cloud, security, and DevOps teams.
With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part‑time options. If you have a need for flexibility, please register and discuss this with our team. Quantexa Technical Certification is required.
Qualifications & Skills
- Demonstrable experience in leading client data engineering or integration projects for major clients.
- Hands‑on experience of designing and implementing Quantexa solutions for clients.
- Technical excellence in Scala, Python, and Databricks.
- Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains.
- Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps.
- Familiarity with containerisation technologies like Docker and Kubernetes.
- Understanding of data governance, data quality frameworks, and enterprise data security standards.
- Bachelor's or master's degree in computer science, Data Engineering, or a related technical field.
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high‑volume, seasonal, and high‑peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non‑disabled people.
Senior Data Engineer -Quantexa in Ringway employer: KPMG International Cooperative
KPMG is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the Data Engineering function. With flexible working options across 20 UK sites, employees benefit from a supportive environment that fosters professional growth and development, particularly in cutting-edge technologies like Quantexa. Joining KPMG means being part of a respected consultancy that values its people and their contributions to meaningful projects that impact local communities.
Contact Details:
KPMG International Cooperative Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer -Quantexa in Ringway
✨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 KPMG International Cooperative!
✨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 Senior Data Engineer -Quantexa at KPMG International Cooperative.
✨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 KPMG International Cooperative.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer -Quantexa at KPMG International Cooperative, 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 Senior Data Engineer -Quantexa in Ringway
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 KPMG International Cooperative, 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 KPMG International Cooperative. 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 KPMG International Cooperative
✨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 KPMG International Cooperative!
✨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.
